International Journal of Health Policy and Management
Volume:11 Issue: 8, Aug 2022

With coronavirus disease 2019 (COVID-19) receding, many countries are pondering what a post-pandemic economy should look like. Some advocate a more inclusive stakeholder model of capitalism. Others caution that this would be insufficient to deal with our pre-pandemic crises of income inequality and climate change. Many countries emphasize a ‘green recovery’ with improved funding for health and social protection. Progressive tax reform and fiscal policy innovations are needed, but there is concern that the world is already tilting towards a new round of austerity. Fundamentally, the capitalist growth economy rests on levels of material consumption that are unsustainable and inequitable. More radical proposals thus urge ‘degrowth’ policies to reduce consumption levels while redistributing wealth and income to allow the poorer half of humanity to achieve an ethical life expectancy. We have the policy tools to do so. We need an activist public health movement to ensure there is sufficient political will to adopt them.

There is increasing recognition that power imbalances that favour corporations, especially those active in unhealthy commodity industries, over other actors are central to the ways in which corporations influence population health. However, existing frameworks for analysing corporate strategies and practices that impact on health do not incorporate concepts of power in consistent ways. This paper aimed to review the ways in which corporate power has been incorporated into such frameworks, and to propose a revised framing of the commercial determinants of health (CDoH) that makes concepts of power explicit.

We conducted a narrative review of frameworks that identify corporate strategies and practices and explain how these influence population health. Content analysis was conducted to identify explicit references to different qualities of power – its origins, nature, and manifestations.

Twenty-two frameworks were identified, five of which used theories of power. A wide range of contexts that shape, and are shaped by corporate power were discussed, as were a diversity of corporate, social and ecological outcomes. A variety of material and ideational sources of power was also covered. We proposed an integrated ‘Corporate Power and Health’ framework to inform analysis of the CDoH, organised around key questions on power set out by Foucault. The proposed framework draws from a number of well-established corporate power theories and synthesises key features of existing CDoH frameworks.

Public health advocates, researchers and policy-makers would likely be better placed to understand and address the CDoH by engaging with theories of power to a greater extent, and by explicitly incorporating concepts of corporate power in analyses of how the deployment of corporate strategies and practices influence population health.

Human resources are at the heart of health systems, playing a central role in their functionality globally. It is estimated that up to 70% of the health workforce are women, however, this pattern is not reflected in the leadership of health systems where women are under-represented.

This systematized review explored the existing literature around women’s progress towards leadership in the health sector in low- and middle-income countries (LMICs) which has used intersectional analysis.

While there are studies that have looked at the inequities and barriers women face in progressing towards leadership positions in health systems within LMICs, none explicitly used an intersectionality framework in their approach. These studies did nevertheless show recurring barriers to health systems leadership created at the intersection of gender and social identities such as professional cadre, race/ethnicity, financial status, and culture. These barriers limit women’s access to resources that improve career development, including mentorship and sponsorship opportunities, reduce value, recognition and respect at work for women, and increase the likelihood of women to take on dual burdens of professional work and childcare and domestic work, and, create biased views about effectiveness of men and women’s leadership styles. An intersectional lens helps to better understand how gender intersects with other social identities which results in upholding these persisting barriers to career progression and leadership.

As efforts to reduce gender inequity in health systems are gaining momentum, it is important to look beyond gender and take into account other intersecting social identities that create unique positionalities of privilege and/or disadvantage. This approach should be adopted across a diverse range of health systems programs and policies in an effort to strengthen gender equity in health and specifically human resources for health (HRH), and improve health system governance, functioning and outcomes.

This systematic review aims to estimate the proportion of medical schools and teaching hospitals with conflicts of interest (COI) policies for health research and education, to describe the provisions included in the policies and their impact on research outputs and educational quality or content.

Experimental and observational studies reporting at least one of the above mentioned aims were included irrespective of language, publication type or geographical setting. MEDLINE, Scopus, Embase and the Cochrane Methodology Register were searched from inception to March 2020. Methodological study quality was assessed using an amended version of the Joanna Briggs Institute’s checklist for prevalence studies.

Twenty-two cross-sectional studies were included; all were conducted in high-income countries. Of these, 20 studies estimated the prevalence of COI policies, which ranged from 5% to 100% (median: 85%). Twenty studies assessed the provisions included in COI policies with different assessment methods. Of these, nine analysed the strength of the content of medical schools’ COI policies using various assessment tools that looked at a range of policy domains. The mean standardised summary score of policy strength ranged from 2% to 73% (median: 30%), with a low score indicating a weak policy. North American institutions more frequently had COI policies and their content was rated as stronger than policies from European institutions. None of the included studies assessed the impact of COI policies on research outputs or educational quality or content.

Prevalence of COI policies at medical schools and teaching hospitals varied greatly in high-income countries. No studies estimated the prevalence of policies in low to middle-income countries. The content of COI policies varied widely and while most European institutions ranked poorly, in North America more medical schools had strong policies. No studies were identified on impact of COI policies on research outputs and educational quality or content.

Countries in the World Health Organization (WHO) Eastern Mediterranean Region (EMR) are predisposed to highly contagious, severe and fatal, emerging infectious diseases (EIDs), and re-emerging infectious diseases (RIDs). This paper reviews the epidemiological situation of EIDs and RIDs of global concern in the EMR between 2001 and 2018.

To do a narrative review, a complete list of studies in the field was we prepared following a systematic search approach. Studies that were purposively reviewed were identified to summarize the epidemiological situation of each targeted disease. A comprehensive search of all published studies on EIDs and RIDs between 2001 and 2018 was carried out through search engines including Medline, Web of Science, Scopus, Google Scholar, and ScienceDirect.

Leishmaniasis, hepatitis A virus (HAV) and hepatitis E virus (HEV) are reported from all countries in the region. Chikungunya, Crimean Congo hemorrhagic fever (CCHF), dengue fever, and H5N1 have been increasing in number, frequency, and expanding in their geographic distribution. Middle East respiratory syndrome (MERS), which was reported in this region in 2012 is still a public health concern. There are challenges to control cholera, diphtheria, leishmaniasis, measles, and poliomyelitis in some of the countries. Moreover, Alkhurma hemorrhagic fever (AHF), and Rift Valley fever (RVF) are limited to some countries in the region. Also, there is little information about the real situation of the plague, Q fever, and tularemia.

EIDs and RIDs are prevalent in most countries in the region and could further spread within the region. It is crucial to improve regional capacities and capabilities in preventing and responding to disease outbreaks with adequate resources and expertise.

Social capital refers to the effective functioning of social groups through networks of relationships. The lockdown measures due to coronavirus disease 2019 (COVID-19) may change the social capital among youths. This study aimed to evaluate changes in social capital before and during COVID-19 lockdown among Chinese youths. It was based on the online COVID-19 Impact on Lifestyle Change Survey (COINLICS) conducted among 10 540 youths at three educational levels, including high/vocational school, undergraduate, and graduate, before and during COVID-19 lockdown. Measures of perceptions of social capital were adapted from a validated Chinese version of Health-related Social Capital Measurement based on youths’ characteristics of living and studying environment. Social capital was measured at four dimensions, including individual social capital (ISC), family social capital (FSC), community social capital (CSC), and society social capital (SSC). Overall, compared to before lockdown, ISC and CSC scores decreased, while FSC and SSC scores increased during lockdown. When stratified by educational levels, the trends for each dimension of social capital were consistent with the overall population. There were 43.9%, 5.7%, 32.1%, and 3.7% of the participants showing decreased scores during lockdown for ISC, FSC, CSC, and SSC, respectively, while 7.2%, 24.0%, 15.3%, and 10.7% of participants showed increased scores for ISC, FSC, CSC, and SSC, respectively. Our timely, largescale study showed decreased social capital in individual and community dimensions and increased social capital in family and society dimensions during lockdown.

With the promising outcomes of the pre-ESRD (end-stage renal disease) pay-for-performance (P4P) program, the National Health Insurance Administration (NHIA) of Taiwan launched a P4P program for patients with early chronic kidney disease (CKD) in 2011, targeting CKD patients at stages 1, 2, and 3a. This study aimed to examine the long-term effect of the early-CKD P4P program on CKD progression.

We conducted a matched cohort study using electronic medical records from a large healthcare delivery system in Taiwan. The outcome of interest was CKD progression to estimated glomerular filtration rate (eGFR) <45 mL/min/1.73 m2 between P4P program enrolees and non-enrolees. The difference in the cumulative incidence of CKD progression between the P4P and non-P4P groups was tested using Gray’s test. We adopted a cause-specific (CS) hazard model to estimate the hazard in the P4P group as compared to non-P4P group, adjusting for age, sex, baseline renal function, and comorbidities. A subgroup analysis was further performed in CKD patients with diabetes to evaluate the interactive effects between the early-CKD P4P and diabetes P4P programs.

The incidence per 100 person-months of disease progression was significantly lower in the P4P group than in the non-P4P group (0.44 vs. 0.69, P < .0001), and the CS hazard ratio (CS-HR) for P4P program enrolees compared with non-enrolees was 0.61 (95% CI: 0.58–0.64, P < .0001). The results of the subgroup analysis further revealed an additive effect of the diabetes P4P program on CKD progression; compared to none of both P4P enrolees, the CS-HR for CKD disease progression was 0.60 (95% CI: 0.54–0.67, P < .0001) for patients who were enrolled in both early-CKD P4P and diabetes P4P programs.

The present study results suggest that the early-CKD P4P program is superior to usual care to decelerate CKD progression in patients with early-stage CKD.

In Aotearoa/New Zealand, the first nation-wide coronavirus disease 2019 (COVID-19) lockdown occurred from March 23, 2020 to May 13, 2020, requiring most people to stay at home. Health services had to suddenly change how they delivered healthcare and some services were limited or postponed. This study investigated access to healthcare during this lockdown period, whether patients delayed seeking healthcare and reasons for these delays, focusing on the accessibility of primary care services.

Adults (aged 18 years or older) who had contact with primary care services were invited through social media and email lists to participate in an online survey (n = 1010) and 38 people were recruited for in-depth interviews. We thematically analysed qualitative data from the survey and interviews, reported alongside relevant descriptive survey results.

More than half (55%) of survey respondents delayed seeking healthcare during lockdown. Factors at a national or health system-level that could influence delay were changing public service messages, an excessive focus on COVID-19 and urgent issues, and poor service integration. Influential factors at a primary care-level were communication and outreach, use of technology, gatekeeping, staff manner and the safety of the clinical practice environment. Factors that influenced patients’ individual decisions to seek healthcare were the ability to self-manage and self-triage, consciousness of perceived pressure on health services and fear of infection.

In future pandemic lockdowns or crises, appropriate access to primary care services can be improved by unambiguous national messages and better integration of services. Primary care practices should adopt rapid proactive outreach to patients, fostering a calm but safe clinical practice environment. More support for patients to self-manage and self-triage appropriately could benefit over-burdened health systems during lockdowns and as part of business as usual in less extraordinary times.

In debates on asylum-seekers’ access to healthcare it is frequently claimed that restrictions are necessary to prevent unduly high health service utilization and costs. Within Germany, healthcare provision for asylum-seekers varies across the different states. Berlin’s authorities removed some barriers to healthcare for asylum-seekers by introducing an electronic health insurance card (HIC) in 2016. We used the HIC introduction in Berlin as an opportunity to investigate the effects of improved healthcare access for asylum-seekers on the local health system.

The study applied a mixed-methods design. A cost analysis compared expenses for outpatient and inpatient health services for asylum-seekers before and after the HIC introduction, based on aggregate claims data and information on expenses for humanitarian healthcare provision that were retrieved from the Berlin authorities. Semi- structured interviews with 12 key informants explored organizational effects like administrative workloads and ethical dilemmas for staff. We performed a content analysis and used respondent validation to enhance the accuracy and trustworthiness of our results.

The HIC has reduced bureaucratic complexity and administrative workloads; it has enabled unprecedented financial transparency and control; and it has mitigated ethical tensions. All the while, average per person expenses for outpatient health services have declined since the HIC introduction. However, our cost analysis also indicates a rise in the utilization and costs of inpatient care.

The HIC introduction in Berlin suggests that the removal of barriers to healthcare for asylum-seekers can create win-win-situations by reducing administrative workloads, advancing financial transparency, and mitigating ethical tensions, whilst cutting the costs of outpatient healthcare provision. Removing barriers to healthcare thus appears to be a more prudent policy choice than maintaining mechanisms of restriction and control. However, high inpatient care utilization and costs warrant further research.

Despite its association with patient safety, few studies on missed nursing care have been conducted in nursing homes. We aimed to describe individual and environmental factors in a sample of registered nurses (RNs) reporting missed nursing care in nursing homes, and to explore the association between these factors and missed nursing care.

In the present, multicentre cross-sectional study, 217 RNs from 43 nursing homes in Northern Italy reported all episodes of missed nursing care (ie, any aspect of required care that was omitted or delayed) that occurred in the 20 most dependent residents (according to RNs’ judgement; 860 residents in total) over 3 consecutive days. Multilevel multivariable logistic regression models were used to test possible explanatory factors of missed nursing care (individual, work-related, organisational, and work environment factors), which were entered in a step-wise manner.

Younger RNs (P = .026), freelance RNs (P = .046), RNs with a permanent contract (P = .035), and those working in publicly-owned nursing homes reported more episodes of missed nursing care (P < .012). Public ownership (odds ratio [OR] = 9.88; 95% CI 2.22–44.03; P = .003), a higher proportion of residents with severe clinical conditions (OR = 2.45; 95% CI 1.12–5.37; P = .025), a lower proportion of RNs (OR = 2.24; 95% CI 1.10–4.54; P = .026), and perceived lack of time to care for residents (OR = 2.33; 95% CI 1.04–5.26; P = .041) were statistically significantly associated with missed nursing care.

Factors associated with missed nursing care are similar in hospitals and nursing homes, and include heavy workload and perceived lack of time for care. Because missed nursing care in nursing homes represents tasks performed specifically by RNs, missed nursing care in this setting should be measured in terms of these tasks. An optimal skill mix is crucial to guarantee not only comfort and basic care for nursing home residents, but also good outcomes for residents with severe clinical conditions.

In contrast to neighboring countries, German and Swiss authorities refrained from general curfews during the first pandemic wave in spring 2020, calling for solidarity and personal responsibility instead. Using a qualitative methodology, this study aims to explore why people in Germany and Switzerland were motivated to comply with policy measures during the first wave of the coronavirus disease 2019 (COVID-19) pandemic, and what factors hindered or limited their motivation. While quantitative surveys can measure the level of compliance, or broadly ask what motives people had for compliance, we here strive to explain why and how these motives lead to compliance.

This publication has been made possible by the joint work of the members of the “Solidarity in times of pandemics” (SolPan) research commons. Seventy-seven semi- structured qualitative interviews were conducted with members of the general public in Germany (n = 46) and the German-speaking part of Switzerland (n = 31) in April 2020. Interviews were transcribed and analyzed following a grounded theory approach.

Three themes were identified that summarize factors contributing to compliant or noncompliant behavior. (1) Social cohesion was, on the one hand, an important motivator for compliance, but at the same time related to conflicting needs, illustrating the limits of compliance. (2) Consequences were considered on both the individual level (eg, consequences of individual infection) and societal level (eg, the societal and economic consequences of restrictions). (3) While for some participants following the rules was perceived as a matter of principle, others stressed the importance of making their own risk assessment, which was often associated with with a need for evidence on the effectiveness and reasons behind measures.

A variety of motives contribute to COVID-19 related compliance. Authorities should seek to address these multi-faceted aspects to support motivation for compliance in a large proportion of the population.

Coronavirus disease 2019 (COVID-19) has had a devastating impact globally, with severe health and economic consequences. To prepare health systems to deal with the pandemic, epidemiological and cost projection models are required to inform budgets and efficient allocation of resources. This study estimates daily inpatient care costs of COVID-19 in South Africa, an important input into cost projection and economic evaluation models.

We adopted a micro-costing approach, which involved the identification, measurement and valuation of resources used in the clinical management of COVID-19. We considered only direct medical costs for an episode of hospitalisation from the South African public health system perspective. Resource quantities and unit costs were obtained from various sources. Inpatient costs per patient day was estimated for consumables, capital equipment and human resources for three levels of inpatient care – general wards, high care wards and intensive care units (ICUs).

Average daily costs per patient increased with the level of care. The highest average daily cost was estimated for ICU admissions – 271 USD to 306 USD (financial costs) and ~800 USD to 830 USD (economic costs, excluding facility fee) depending on the need for invasive vs. non-invasive ventilation (NIV). Conversely, the lowest cost was estimated for general ward-based care – 62 USD to 79 USD (financial costs) and 119 USD to 278 USD (economic costs, excluding facility fees) depending on the need for supplemental oxygen. In high care wards, total cost was estimated at 156 USD, financial costs and 277 USD, economic costs (excluding facility fees). Probabilistic sensitivity analyses suggest our costs estimates are robust to uncertainty in cost inputs.

Our estimates of inpatient costs are useful for informing budgeting and planning processes and costeffectiveness analysis in the South African context. However, these estimates can be adapted to inform policy decisions in other context.

Patient flow through health services is increasingly recognized as a system issue, yet the flow literature has focused overwhelmingly on localized interventions, with limited examination of system-level causes or remedies. Research suggests that intractable flow problems may reflect a basic misalignment between service offerings and population needs, requiring fundamental system redesign. However, little is known about health systems’ approaches to population–capacity misalignment, and guidance for system redesign remains underdeveloped.

This qualitative study, part of a broader investigation of patient flow in urban Western Canada, explored health-system strategies to address or prevent population–capacity misalignment. We conducted in-depth interviews with a purposive sample of managers in 10 jurisdictions across 4 provinces (N = 300), spanning all healthcare sectors and levels of management. We used the constant comparative method to develop an understanding of relevant strategies and derive principles for system design.

All regions showed evidence of pervasive population–capacity misalignment. The most superficial level of response – mutual accommodation (case-by-case problem solving) – was most prevalent; capacity (re)allocation occurred less frequently; population redefinition most rarely. Participants’ insights yielded a general principle: Define populations on the basis of clusters of co-occurring need. However, defining such clusters demands a difficult balance between narrowness/rigidity and breadth/flexibility. Deeper analysis suggested a further principle: Populations that can be divided into homogeneous subgroups experiencing similar needs (eg, surgical patients) are best served by narrow/ rigid models; heterogeneous populations featuring diverse constellations of need (eg, frail older adults) require broad/ flexible models.

To remedy population–capacity misalignment, health system planners should determine whether clusters of population need are separable vs. fused, select an appropriate service model for each population, allocate sufficient capacity, and only then promote mutual accommodation to address exceptions. Overreliance on case-by-case solutions to systemic problems ensures the persistence of population–capacity misalignment.

Context is recognized as important to successful knowledge translation (KT) in health settings. What is meant by context, however, is poorly understood. The purpose of the current study was to elicit tacit knowledge about what is perceived to constitute context by conducting interviews with a variety of health system stakeholders internationally so as to compile a comprehensive list of contextual attributes and their features relevant to KT in healthcare.

A descriptive qualitative study design was used. Semi-structured interviews were conducted with health system stakeholders (change agents/KT specialists and KT researchers) in four countries: Australia, Canada, the United Kingdom, and the United States. Interview transcripts were analyzed using inductive thematic content analysis in four steps: (1) selection of utterances describing context, (2) coding of features of context, (3) categorizing of features into attributes of context, (4) comparison of attributes and features by: country, KT experience, and role.

A total of 39 interviews were conducted. We identified 66 unique features of context, categorized into 16 attributes. One attribute, Facility Characteristics, was not represented in previously published KT frameworks. We found instances of all 16 attributes in the interviews irrespective of country, level of experience with KT, and primary role (change agent/KT specialist vs. KT researcher), revealing robustness and transferability of the attributes identified. We also identified 30 new context features (across 13 of the 16 attributes).

The findings from this study represent an important advancement in the KT field; we provide much needed conceptual clarity in context, which is essential to the development of common assessment tools to measure context to determine which context attributes and features are more or less important in different contexts for improving KT success.

Recent evidence recommended stepwise screening methods for identifying individuals at high risk of type 2 diabetes to be recruited in the lifestyle intervention programs for the prevention of the disease. This study aims to assess the performance of different stepwise screening methods that combine non-invasive measurements with lab-based measurements for identifying those with 5-years incident type 2 diabetes.

3037 participants aged ≥30 years without diabetes at baseline in the Tehran Lipid and Glucose Study (TLGS) were followed. Thirty-two stepwise screening methods were developed by combining a non-invasive measurement (an anthropometric measurement (waist-to-height ratio, WtHR) or a score based on a non-invasive risk score [Australian Type 2 Diabetes Risk Assessment Tool, AUSDRISK]) with a lab-based measurement (different cut-offs of fasting plasma glucose [FPG] or predicted risk based on three lab-based prediction models [Saint Antonio, SA; Framingham Offspring Study, FOS; and the Atherosclerosis Risk in Communities, ARIC]). The validation, calibration, and usefulness of lab-based prediction models were assessed before developing the stepwise screening methods. Cut-offs were derived either based on previous studies or decision-curve analyses.

203 participants developed diabetes in 5 years. Lab-based risk prediction models had good discrimination power (area under the curves [AUCs]: 0.80-0.83), achieved acceptable calibration and net benefits after recalibration for population’s characteristics and were useful in a wide range of risk thresholds (5%-21%). Different stepwise methods had sensitivity ranged 20%-68%, specificity 70%-98%, and positive predictive value (PPV) 14%-46%; they identified 3%-33% of the screened population eligible for preventive interventions.

Stepwise methods have acceptable performance in identifying those at high risk of incident type 2 diabetes.

Research partnership approaches are becoming popular within spinal cord injury (SCI) health research system, providing opportunities to explore experiences of and learn from SCI research partnership champions. This study aimed to explore and describe SCI researchers’ and research users’ (RU’) experiences with and reasons for conducting and/or disseminating (health) research in partnership in order to gain more insight into potentially ways to build capacity for and foster change to support research partnerships within a health research system.

Underpinned by a pragmatic perspective, ten semi-structured timeline interviews were conducted with researchers and RU who have experiences with SCI research partnerships. Interviews focused on experiences in participants’ lives that have led them to become a person who conducts and/or disseminates research in partnership. Data were analysed using narrative thematic analysis.

We identified three threads from participants’ stories: (1) seeing and valuing different perspectives, (2) inspirational role models, and (3) relational and personal aspect of research partnerships. We identified sub-threads related to experiences that participants draw on how they came to be a person who engage in (health) research partnerships, and sub-threads related to participants’ reasons for engaging in research partnerships. While most subthreads were identified from both researchers’ and RU’ perspectives (eg, partnership successes and failures), some were unique for researchers (morally the right thing to do) or RU (advocating).

Using a narrative and pragmatic approach, this study provided a new understanding of SCI researchers’ and RU’ partnership experiences over time. We found that participants’ research partnership experiences and motivations align with components of leadership theories. The findings from this study may be used to inform strategies and policy programs to build capacity for conducting and disseminating (health) research in partnership, within and beyond SCI research.

As one of the most serious types of coronary heart disease, ST-elevation myocardial infarction (STEMI) faces huge challenges in the equal management and care of patients due to its life-threatening and time-critical condition. Health inequalities such as sex and age differences in STEMI care have been reported from developed countries. However, limited outcomes have been investigated and the major drivers of inequality are still unclear, especially in under-developed areas. This study aimed to explore the major drivers of health inequalities in STEMI care before implementation of a new regional network in the south-west of China.

Prefecture-level data of STEMI patients before the implementation of a regional network were analysed retrospectively. Drivers of inequality were identified from six social determinants of health, namely area of residence, ethnicity, sex, age, education and occupation. Outcomes of STEMI care included timely presentation, reperfusion therapy, timely reperfusion therapy, heart failure, inpatient mortality, length of hospital stay, hospital costs, and various intervals of ischaemic time.

A total of 376 STEMI patients in the research area before implementation of the STEMI network were included. Compared with urban residents, rural patients were significantly less likely to have timely presentation (odds ratio [OR] = 0.47, 95% CI: 0.28-0.80, P = .004) and timely reperfusion therapy (OR = 0.32, 95% CI: 0.14-0.70, P = .005). Rural residents were less likely to present to hospital promptly than urban residents (HR = 0.65, 95% CI = 0.52-0.82, P < .001). In the first 3 hours of percutaneous coronary intervention (PCI) reperfusion delay and first 6 hours of total ischaemic time, rural patients had a significantly lower probability to receive prompt PCI (hazard ratio [HR] = 0.40, 95% CI: 0.29-0.54, P < .001) and reperfusion therapy (HR = 0.37, 95% CI: 0.25-0.56, P < .001) compared to urban patients.

Rural residents were a major vulnerable group before implementation of the regional STEMI network. No obvious inequalities in ethnicity, sex, age, education or occupation existed in STEMI care in Chuxiong Prefecture of China.

Regional disparity is an imperative component of health disparity. In particular, providing emergency care that is equally available in rural areas is an essential part of reducing the urban–rural disparity. The objective of this study was to examine the worsening admission rate among Cambodian emergency patients in a rural area and determine their background characteristics that cause this decline.

To investigate the disparity among patients who visited Sunrise Japan Hospital (SJH), a major general private hospital in the capital, patient data from November 2016 to September 2019 were obtained from the electronic reception patient database. The primary outcome was defined as the proportion of admission patients as an indicator of illness severity. The patients’ addresses were classified into 4 areas based on distance from the capital.

A total of 6167 patients who visited the emergency department at SJH between January 2017 and September 2019 were included in the analysis. The proportion of patients who needed to be hospitalized or transferred increased with the distance from the capital. The proportion of patients who finished consultation decreased with the distance from the capital (P < .01: Chi- square test). The results of the logistic regression analysis showed that the admission rate in rural areas was significantly higher only among males as compared to that of the capital in multivariate analyses adjusted for age, time, and season.

The admission rate of emergency patients who visited a private general hospital in Cambodia’s capital city increased with distance from the capital city. To improve regional disparity among emergency patients, further research is necessary to identify the issues among emergency patients, especially those who are vulnerable.

Integrated Community Case Management (iCCM) of malaria, pneumonia and diarrhoea is an equity focused strategy, to increase access to care for febrile illness in children under-5 years of age, in rural communities. Lay community members are trained to diagnose and treat malaria, pneumonia and diarrhoea in children, and to identify and refer very ill children. Today, many low-income countries including Uganda, have a policy for iCCM which is being rolled out through public sector community health workers (CHWs). Ten years after the introduction of the iCCM strategy in Uganda, it is important to take stock and understand the barriers and facilitators affecting implementation of the iCCM policy.

We conducted an iCCM policy analysis in order to identify the challenges, enablers and priorities for scale-up of the iCCM strategy in Uganda. This was a qualitative case study research which included a document review (n = 52) and key informant interviews (n = 15) with Ugandan stakeholders. Interviews were conducted in 2017 and the desk review included literature up to 2019.

This paper highlights the iCCM policy trajectory since 2010 in Uganda and includes a policy timeline. The iCCM policy process was mainly led by international agencies from inception, with little ownership of the government. Many implementation challenges including low government funding, weak coordination and contradicting policies were identified, which could contribute to the slow scale up of the iCCM program. Despite the challenges, many enablers and opportunities also exist within the health system, which should be further harnessed to scale up iCCM in Uganda. These enabling factors include strong community commitment, existing policy instruments and the potential of utilizing also the private sector for iCCM implementation.

The iCCM program in Uganda needs to be strengthen through increased domestic funding, strong coordination and a focus on monitoring, evaluation and operational research.

This paper describes the access to care for mental health problems in Afghanistan, according to the nature of the mental health problems and the service provider. Following the Andersen model, it evaluates the respective roles in access to care of “predisposing,” “needs,” “enabling” factors, and other “environmental” factors such as exposure to traumatic events and level of danger of the place of residence.

Trans-sectional probability survey in general population by multistage sampling in 16 provinces, nationally representative: N = 4445 (15 years or older), participation rate of 81%. Face to face interviews using standardized measures of mental health (CIDI, Composite International Diagnostic Interview). Different logistic regression models are presented.

The 12-month rate of mental health help-seeking was 6.56% with substantial regional variation (2.35% to 12.65%). Providers were mainly from the health sector; the non- health sector (religious and healers) was also prevalent. Most consultations were held in private clinics (non-governmental organisation, NGO). The severity of mental health disorders as well as the perceived impairment due to mental health were independently very important: odds ratio (OR) = 6.04 for severe disorder, OR = 3.79 for perceived impairment. Living in a dangerous area decreased access to care: for high level of danger and for very high level: OR = 0.22. Gender, education and ethnicity were not associated with mental health help-seeking after controlling for exposure to trauma.

Access to care for mental health problems depended mainly on the needs as defined as disorder severity level and impairment, and on environmental factors such as exposure to traumatic events. The system seems equitable; however, this is counterbalanced by a very challenging environment. This survey is a testimony to the hardship experienced by the Afghan population and by health professionals, and to the efforts to deliver organized mental healthcare in a challenging situation. This research may inform and support policy-makers and NGOs in other countries undergoing similar challenges.

The government of Sierra Leone introduced Social Health Insurance Scheme as a measure to remove financial barriers that beset the people in accessing health to ensure universal coverage. Under this policy, the citizens were encouraged to subscribe to the scheme to avoid out of pocket payment for healthcare at the point of use. This study was conducted to find out the predictors of willingness among the people to pay for health insurance premium.

A cross-sectional study design was employed in six selected districts in Sierra Leone. Quantitative data was collected for this study through the use of semi-structured questionnaire with a sample size of 1185 respondents. Data was analysed into descriptive and inferential statistics using the contingent valuation model. Statistical analysis was run at 5% significant level using Stata version 14.0 software.

The results showed that majority of the respondent are willing to join and pay a monthly premium of Le 10 000 (US$1.03) with an estimated mean contribution of about Le 14 089 (US$1.44) and the top five predictors of willingness to pay (WTP) were household monthly income, age, district of resident, gender, and educational qualification.

The findings on predictors of WTP premium of Sierra Leone National Social Health Insurance (SLeNSHI), suggests that the socio-demographic characteristics of the population are important in premium design and payment. Efforts at improving the socio- economic statuses of the population could be helpful in premium design and payment.

Addressing chronic diseases and intra-urban health disparities in low- and middle-income countries (LMICs) requires new health service models. Team-based healthcare models can improve management of chronic diseases/complex conditions. There is interest in integrating community health workers (CHWs) into these teams, given their effectiveness in reaching underserved populations. However healthcare team models are difficult to effectively implement, and there is little experience with team-based models in LMICs and with CHW-integrated models more generally. Our study aims to understand the determinants related to the poor adoption of Ethiopia’s family health teams (FHTs); and, raise considerations for initiating CHW-integrated healthcare team models in LMIC cities.

Using the Consolidated Framework for Implementation Research (CFIR), we examine organizational-level factors related to implementation climate and readiness (work processes/incentives/resources/leadership) and systemlevel factors (policy guidelines/governance/financing) that affected adoption of FHTs in two Ethiopian cities. Using semi-structured interviews/focus groups, we sought implementation perspectives from 33 FHT members and 18 administrators. We used framework analysis to deductively code data to CFIR domains.

Factors associated with implementation climate and readiness negatively impacted FHT adoption. Failure to tap into financial, political, and performance motivations of key stakeholders/FHT members contributed to low willingness to participate, while resource constraints restricted capacity to implement. Workload issues combined with no financial incentives/perceived benefit contributed to poor adoption among clinical professionals. Meanwhile, staffing constraints and unavailability of medicines/supplies/transport contributed to poor implementation readiness, further decreasing willingness among clinical professionals/managers to prioritize non-clinic based activities. The federally- driven program failed to provide budgetary incentives or tap into political motivations of municipal/health centre administrators.

Lessons from Ethiopia’s challenges in implementing its FHT program suggest that LMICs interested in adopting CHW-integrated healthcare team models should closely consider health system readiness (budgets, staffing, equipment/medicines) as well as incentivization strategies (financial, professional, political) to drive organizational change.

During the first months of the coronavirus disease 2019 (COVID-19) pandemic, Iran reported high numbers of infections and deaths. In the following months, the burden of this infection decreased significantly, possibly due to the impact of a package of interventions. We modeled the dynamics of COVID-19 infection in Iran to quantify the impacts of these interventions.

We used a modified susceptible–exposed–infected–recovered (SEIR) model to model the COVID-19 epidemic in Iran, from January 21, 2020 to September 21, 2020. We estimated the 95% uncertainty intervals (UIs) using Markov chain Monte Carlo simulation. Under different scenarios, we assessed the effectiveness of non-pharmaceutical interventions (NPIs) including physical distancing measures and self-isolation. We also estimated the time-varying reproduction number (Rt), using our mathematical model and epidemiologic data.

If no NPIs were applied, there could have been a cumulative number of 51 800 000 (95% UI: 1 910 000–77 600 000) COVID-19 infections and 266 000 (95% UI: 119 000–476 000) deaths by September 21, 2020. If physical distancing interventions, such as school/border closures and self-isolation interventions had been introduced a week earlier than they were actually launched, 30.8% and 35.2% reduction in the number of deaths and infections respectively could have been achieved by September 21, 2020. The observed daily number of deaths showed that the Rt was one or more than one almost every day during the analysis period.

Our models suggest that the NPIs implemented in Iran between January 21, 2020 and September 21, 2020 had significant effects on the spread of the COVID-19 epidemic. Our study also showed that the timely implementation of NPIs showed a profound effect on further reductions in the numbers of infections and deaths. This highlights the importance of forecasting and early detection of future waves of infection and of the need for effective preparedness and response capabilities.

Complementary medicine (CM) use is a ubiquitous aspect of an increasingly consumer- driven model of healthcare delivery and plays an increasingly prominent role in the Australian health sector. Yet there is limited empirical research investigating the quality and integrity of protections for consumers in Australia. The aim of this study is to help address this gap in knowledge by exploring how members of the public engage with protection mechanisms related to CM use.

This study utilised a cross-sectional online survey to recruit a sample of 1132 Australian adults aged 18 and over. Purposive convenience sampling was used to recruit participants from an existing database of Australian adults who had expressed interest in participating in research.

The majority of the participants (64.0%) had visited a CM practitioner in their lifetime. However, a minority of participants (36.9%) indicated they would feel confident in knowing where to complain if something went wrong with the treatment they received from a CM practitioner. Most participants (74.7%) had used a CM product in their lifetime. Specifically, 32.3% had ‘ever’ used an herbal product and 69.9% had ‘ever’ used a nutritional supplement. However, a minority of participants (32.7%) indicated they would feel confident knowing where to complain if something went wrong with a herbal or nutritional supplement they used. Most participants indicated a lack of knowledge about how CM practitioners and CM products are regulated in Australia.

The findings of this study clearly highlight a concerning lack of knowledge by CM patients and consumers regarding the regulation of CM in Australia. From a policy perspective, it is necessary to seek proactive approaches that target complaint-related knowledge of the CM patients and consumers through education and advocacy efforts.

In order to relieve the financial burden of the patients in China, the Ministry of Health (MoH) conducted the first national price negotiation and successfully negotiated three expensive medicines including 2 targeted anticancer medicines (TAMs), icotinib and gefitinib. However, little evidence was available to demonstrate the impact of the national negotiation on TAMs use. The purpose of the study is to evaluate the implementation of the national price negotiation policy in China on TAMs use.

We used interrupted time series (ITS) design to examine the changes in the daily cost, the monthly hospital purchasing volume and spending of icotinib and gefitinib with pharmaceutical procurement data from 594 tertiary hospitals in 29 provinces of mainland China between January 2015 and July 2017. The period between May and July 2016 was applied to assess the impact of policy.

The daily cost of icotinib and gefitinib decreased by 50.08% (P < .001) and 53.89% (P < .001) 12 months after the national negotiation, respectively. In terms of volume, the negotiation was associated with increases in the trend of the monthly hospital purchasing volume of icotinib and gefitinib by 4.87 thousand defined daily doses (DDDs) (P < .001) and 6.89 thousand DDDs (P < .001). However, the monthly hospital purchasing spending of icotinib and gefitinib decreased rapidly by US$0.51 million (P < .010) and US$0.82 million (P < .050) following policy implementation, respectively.

The first national negotiation had successfully cut off the price of two negotiated TAMs and promoted TAMs use in China. In the future, government should conduct further price negotiations and include more medicines with clinical benefits into reimbursement schemes to alleviate patients’ financial burden and promote their access to essential treatment.

The demand for and use of Traditional and Complementary Medicine (T&CM) has recently increased worldwide drawing a public health attention including malpractice, which puts the health of its clients at risk. Despite efforts made by Tanzania to integrate T&CM in the health system to protect the clients, regulating the subsector has remained a challenge due to lack of information and operational factors facing the regulatory frameworks in Tanzania. The aim of this study was to determine the extent of imperfect information, regulation adherence and challenges among T&CM practitioners and regulators in Tanzania.

In-depth interviews were carried out with T&CM practitioners in Dar es Salaam Region in Tanzania, and officials from the Ministry of Health and the study municipals. Purposive and snowballing approaches were used to select study participants. Thematic data analysis was done with the help of NVIVO.

Awareness of regulations and tools used for regulating the T&CM operations among practitioners was generally very low. There was fragmentation of knowledge on what they were practicing as well as on awareness of the regulations, and what is regulated. Practitioners argued that they cannot be controlled by conventional medical trained personnel. Regulators at municipal level reported to have had no knowledge, interest, and time to work on T&CM. Lack of adequately trained and qualified manpower, lack of financial resources, poor transport and other infrastructure at the municipal regulatory units aggravated non-adherence to regulations, and therefore rendered ineffectiveness to the regulatory framework.

Existence of imperfect information on T&CM among regulators and practitioners affect effectiveness of T&CM regulatory process. Awareness of regulations among practitioners, presence of knowledgeable regulators, as well as capacity would facilitate adherence to regulations.

Industry involvement in alcohol policy is highly contentious. The Drink Free Days (DFD) campaign (2018-2019) run by Public Health England (PHE), an executive agency of government, and Drinkaware, an industry-funded ‘alcohol education charity’ to encourage middle-aged drinkers to abstain from drinking on some days was criticised for perceived industry involvement. We examine the extent to which the DFD campaign was supported by local-authority Directors of Public Health (DPHs) in England – which have a statutory remit for promoting population health within their locality – and their reasons for this.

Our mixed-methods approach included a stakeholder mapping, online survey, and semi- structured interviews. The stakeholder mapping provided the basis for sampling survey and interview respondents. In total, 25 respondents completed the survey, and we conducted 21 interviews with DPHs and their local authority (LA) representatives. We examined survey responses, and coded free-text survey and interview responses to identify key themes.

While some respondents supported the DFD campaign, others did not promote it, or actively opposed it, due mainly to concerns about conflicts of interest and the legitimacy of industry involvement in the campaign. These were considered to undermine PHE’s independence and deflect attention from more important, evidence-based policy interventions such as alcohol pricing while conferring vicarious credibility on Drinkaware. We also found low levels of knowledge about alcohol-related harm, the effectiveness of different policies to address these and the policy-influencing strategies used by the alcohol industry.

The findings highlight the dangers of industry partnership and potential conflicts of interest for government agencies and the ineffectiveness of the campaigns they run at local and national levels. They demonstrate the need for caution in engaging with industry-associated bodies at all levels of government and are thus of potential relevance to studies of other health-harming industries and policy contexts.

Around the world, policies and interventions are used to encourage clinicians to reduce low- value care. In order to facilitate this, we need a better understanding of the factors that lead to low-value care. We aimed to identify the key factors affecting low-value care on a national level. In addition, we highlight differences and similarities in three countries.

We performed 18 semi-structured interviews with experts on low-value care from three countries that are actively reducing low-value care: the United States, Canada, and the Netherlands. We interviewed 5 experts from Canada, 6 from the United States, and 7 from the Netherlands. Eight were organizational leaders or policy-makers, 6 as low-value care researchers or project leaders, and 4 were both. The transcribed interviews were analyzed using inductive thematic analysis.

The key factors that promote low-value care are the payment system, the pharmaceutical and medical device industry, fear of malpractice litigation, biased evidence and knowledge, medical education, and a ‘more is better’ culture. These factors are seen as the most important in the United States, Canada and the Netherlands, although there are several differences between these countries in their payment structure, and industry and malpractice policy.

Policy-makers and researchers that aim to reduce low-value care have experienced that clinicians face a mix of interdependent factors regarding the healthcare system and culture that lead them to provide low-value care. Better awareness and understanding of these factors can help policy-makers to facilitate clinicians and medical centers to deliver high-value care.

Considerable health inequities documented in Israel between communities, populations and regions, undermine the rights of all citizens to optimal health. The first step towards health equity is agreement on a set of national indicators, reflecting equity in healthcare provision and health outcomes, and allowing monitoring of the impact of interventions on the reduction of disparities. We describe the process of reaching a consensus on a defined set of national equity indicators.

The study was conducted between January 2019 and June 2020, in a multistage design: (A) Identifying appropriate and available inequity measures via interviews with stakeholders. (B) Agreement on the screening criteria (public health importance; gap characteristics; potential for change; public interest) and relative weighting. (C) Constructing the consultation framework as an online, 3-round Delphi technique, with a range of experts recruited from the health, welfare and education sectors.

Participants were of diverse age, gender, geographic location, religion and ethnicity, and came from academia, healthcare provision, government ministries and patient representative groups. Thirty measures of inequity, presented to participants, represented the following domains: Health promotion (11 indicators), acute and chronic morbidity (11), life expectancy and mortality (2), health infrastructures and affordability of care (4), education and employment (2). Of the 77 individuals contacted, 75 (97%) expressed willingness to participate, and 55 (73%) completed all three scoring rounds. The leading ten indicators were: Diabetes care, childhood obesity, adult obesity, distribution of healthcare personnel, fatal childhood injuries, cigarette smoking, infant mortality, ability to afford care, access to psychotherapy and distribution of hospital beds. Agreement among raters, measured as intra-class correlation coefficient (ICC), was 0.75.

A diverse range of consultants reached a consensus on the most important national equity indicators, including both clinical and system indicators. Results should be used to guide governmental decision-making and inter-sectoral strategies, furthering the pursuit of a more equitable healthcare system.

An aging population and an increase in the proportion of disabled elderly have brought an unprecedented global challenge, especially in China. Aside lack of professional long- term care facilities, the shortage of human resource for old-age care is also a major threat. Therefore, this study tries to forecast the demand scale of nursing staff for the oldest-old in 2025 in China servicing as a reference for the development plan of human resource for elderly nursing.

Based on CLHLS (Chinese Longitudinal Healthy Longevity Survey) 2011 and 2014, Logit model was used to construct the transition probability matrix of the elderly’s health status (health/mild/moderate/severe disability and death). By using the data of the elderly population aged 65 or over in the 2010 national population census, we projected the number of Chinese oldest-old population in different health status by 2025 through Markov model and projected the scale of the demand of nursing staff combined with the human population ratio method.

The forecast shows that the Chinese oldest-old population is about 52.6 million, among which 46.9 million are healthy, 3.7 million are mild, 0.8 million are moderate, and 1.2 million are severely disabled in 2025. Concurrently, the demand scale of nursing staff will be 5.6 million according to the low standard and 11.5 million according to the high standard. Thus, human resource supply of long-term care is worrying.

In 2025, the population size of the Chinese oldest-old will be further expanded, and the demand of care will increase accordingly, leading to a vast gap in the nursing staff. Therefore, it is urgent to build a professional nursing staff with excellent comprehensive quality and reasonable quantity, to ensure the sustainable development of China’s elderly care service industry.

Utilizing maternity waiting homes (MWHs) is a strategy to improve access to skilled obstetric care in rural Zambia. However, out-of-pocket (OOP) expenses remain a barrier for many women. We assessed deliveryrelated expenditure for women who used MWHs and those who did not who delivered at a rural health facility.

During the endline of an impact evaluation for an MWH intervention, household surveys (n = 826) were conducted with women who delivered a baby in the previous 13 months at a rural health facility and lived >10 km from a health facility in seven districts of rural Zambia. We captured the amount women reported spending on delivery. We compared OOP spending between women who used MWHs and those who did not. Amounts were converted from Zambian kwacha (ZMW) to US dollar (USD).

After controlling for confounders, there was no significant difference in delivery-related expenditure between women who used MWHs (US$40.01) and those who did not (US$36.66) (P = .06). Both groups reported baby clothes as the largest expenditure. MWH users reported spending slightly more on accommodation compared to those did not use MWHs, but this difference represents only a fraction of total costs associated with delivery.

Findings suggest that for women coming from far away, utilizing MWHs while awaiting delivery is not costlier overall than for women who deliver at a health facility but do not utilize a MWH.

In response to the magnitude of harms caused by alcohol, the World Health Organization (WHO) Global Strategy to Reduce the Harmful Use of Alcohol (GAS) was endorsed in 2010. We analysed submissions to the 2019 WHO consultation on the implementation of the GAS to identify how different stakeholders frame alcohol use and control; and to assess how stakeholders engage with the consultation process, with possibly harmful consequences for public health policy.

All submissions from WHO Member States, international organisations, non-governmental organisations (NGOs), academic institutions and private sector entities were identified and used as data for an inductive framing analysis. This involved close reading and data familiarisation, thematic coding and identifying emergent framings. Through the analysis of texts, framing analysis can give insights into the values and interests of stakeholders. Because framing influences how issues are conceptualised and addressed, framing analysis is a useful tool to study policy-making processes.

We identified 161 unique submissions and seven attachments. Emerging frames were grouped according to their function: defining the problem, assigning causation, proposing solutions, or justifying and persuading. Submissions varied in terms of the framing they deployed and how this was presented, eg, how the problem was defined. Proposed policy solutions also varied. Targeted solutions emphasising individual responsibility tended to be supported by industry and some Member States. Calls for universal regulation and global mobilisation often came from NGOs and academia. Stakeholders drew on evidence and specific value systems to support the adoption of certain problem and solution ideas and to oppose competing framing.

Alcohol control is a contested policy field in which different stakeholders use framing to set the agenda and influence what policy solutions are considered legitimate. WHO should consider which interests are served by these different framings and how to weigh different stakeholders in the consultation process.

Coronavirus disease 2019 (COVID-19) vaccination is expected to end the pandemic; a high coverage rate is required to meet this end. This study aimed to investigate the prevalence of behavioral intention of free/self-paid COVID-19 vaccination and its associations with prosociality and social responsibility among university students in China.

An anonymous online cross-sectional survey was conducted among 6922 university students in five provinces in China during November 1-28, 2020. With informed consent, participants filled out an online survey link distributed to them via WeChat study groups. The response rate was 72.3%.

The prevalence of behavioral intentions of free COVID-19 vaccination was 78.1%, but it dropped to 57.7% if the COVID-19 vaccination involved self-payment (400 RMB; around 42 USD). After adjusting for background factors, prosociality (free vaccination: adjusted odds ratio [ORa] = 1.10, 95% CI: 1.09-1.12; self-paid vaccination: ORa = 1.08, 95% CI: 1.07-1.09) and social responsibility (free vaccination: ORa = 1.17, 95% CI: 1.14-1.19; self-paid vaccination: ORa = 1.13, 95% CI: 1.11-1.14) were positively associated with the two variables of COVID-19 vaccination intention.

The present study demonstrated the positive effects of prosociality and social responsibility on the intention of COVID-19 vaccination. Accordingly, modification of prosociality and social responsibility can potentially improve COVID-19 vaccination. Future longitudinal and intervention studies are warranted to confirm such associations across populations and countries.

In implementation science, implementation has been widely theorized and assessed. Context, on the other hand, usually played a minor role in the field and was usually conceptualized in a rather positivist way. Despite some promising efforts, there is a strong need to continue building theory on context and operationalizing the concept in implementation practice. I argue for the benefit of integrating complexity theory into our understanding of context in order to further our thinking about context and intervention as a system. This should be reflected by the way in which we build theory as well as apply this theory by employing methods that adequately account for complexity in systems.

While context is a vital factor in any attempt to study knowledge translation or implement evidence in healthcare, there is a need to better understand the attributes and relations that constitute context. A recent study by J. Squires et al. investigates such attributes and definitions, based on 39 stakeholder interviews across Australia, Canada, the UK, and the USA. Sixteen attributes, comprising 30 elements suggested as new findings, are proposed as the basis for a framework. This commentary argues for the need to incorporate more perspectives but also suggests an initial taxonomy rather than a framework, comprising a wider range of stakeholders and an enhanced understanding of how context elements are related at different levels and how this affects implementation processes. Aligning with person- centred care, this must include not only professionals but also patients and their next of kin, as partners in shaping more evidence-based healthcare.

In implementation science, contextual inquiry guides the implementation process for successful uptake of evidence-based practices. However, the conceptualization and measurement of context varies across frameworks and stakeholders. To move the field forward, future efforts to advance the understanding of context should incorporate input from implementation stakeholders through co-creation, elicit stakeholders’ perspectives in low- and middle-income countries (LMICs) to generate a more comprehensive list of determinants, and refine inconsistencies in terminology to promote research synthesis. Greater conceptual clarity and generalizability in contextual inquiry will enable improved communication and collaboration, thus facilitating a shift in focus to development and evaluation of implementation strategies to improve healthcare and health outcomes.

Context influences the effectiveness of healthcare interventions and should be considered to inform their implementation. However, context remains poorly defined in the knowledge translation (KT) literature. The paper by Squires and colleagues constitutes a valuable contribution to the field of KT as it provides the basis for a comprehensive framework to assess the influence of context on implementation success. In their study, Squires et al identified 66 context features, grouped into 16 attributes. Their findings highlight a great convergence in the context features mentioned by stakeholders across countries, experience levels and roles in KT. Thus, the proposed framework could eventually transfer to several implementation settings. However, all study participants were from high-income countries. It would therefore be important to replicate this research in low- and middle-income countries (LMICs). A common understanding of what context means is essential to assessing its influence on the implementation of healthcare interventions globally.

Squires et al note that too many people use terms like ‘context’ imprecisely. The result (to avoid) is a catch-all term that lacks explanatory value and hinders the efforts of policy designers. Their list of 66 factors is a useful exercise to unpack what people mean when describing context. However, some problems will arise when the authors seek to move from research to practice. First, the list is too long to serve its purpose. Second, in many cases, it categorises rather than operationalises key terms. The result is the replacement of one vague term with a collection of others. Third, many categories describe what policy designers might need, rather than what they can reasonably expect to happen. In that context, wider studies of implementation and complex systems provide cautionary tales in which the outcomes of research become overwhelming rather than practical.

In the field of implementation research, it is widely recognised that ‘context matters.’ Attempts to implement innovations, research and new knowledge into practice invariably meet contextual challenges at multiple levels during the process of implementation. The paper by Squires and colleagues provides a detailed insight into the many different features and attributes of context. Yet, as this commentary argues, there are significant challenges ahead if we are to apply our growing understanding about context to improve the practice of implementation in everyday healthcare. This will require attention to the practicalities of working with context to achieve successful implementation.

This commentary acknowledges that the evidence-based practice (EBP) movement did not automatically or initially understand the impact of context on successful implementation (SI). The subsequent work of research teams, such as the PARIHS (Promoting Action on Research in Health Services) team, and the Ottawa team led by Squires, have contributed to the ongoing refinement of the concept. However, still under discussion is whether having a more comprehensive set of contextual attributes will necessarily lead to more implementation success. Just as the strength of the evidence does not automatically lead to implementation success, so having a comprehensive understanding of contextual factors will not necessarily improve implementation uptake.

Low-value care contributes to poor quality of care and wasteful spending in healthcare systems. In Verkerk and colleagues’ recent qualitative study, interviews with low-value care experts from Canada, the United States, and the Netherlands identified a broad range of nationally relevant social, system, and knowledge factors that promote ongoing use of low-value care. These factors highlight the complexity of the problem that is persistent use of low-value care and how it is heavily influenced by public and medical culture as well as healthcare system features. This commentary discusses how these findings integrate within current low-value care and de-implementation literature and uses specific low-value care examples to highlight the importance of considering context, culture, and clinical setting when considering how to apply these factors to future de-implementation initiatives.

Verkerk and colleagues explored the key drivers of low-value care from the perspective of 18 policy-makers and researchers who had led and evaluated at least one initiative to reduce low-value care or had been responsible for reducing low-value care in an organisation. They identified several drivers of low-value care presented in the 2017 Lancet Right Care Series (eg, fee for service payment systems, the pharmaceutical and medical device industry, fear of malpractice litigation, issues with research conduct and reporting, a culture of ‘more is better’ and ‘new technology is better’) but did not discuss some other important ones. In this commentary, we aim to extend the work of Verkerk and colleagues and provide some additional perspectives on the drivers of low-value care within the following categories: Economic incentives; Money, finance, and organisation; Knowledge beliefs, assumptions, bias and uncertainty; and Power and human relationships.