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Context: The COVID-19 pandemic has reignited a commitment from the health policy and health services research communities to rebuilding trust in healthcare and created a renewed appetite for measures of trust for system monitoring and evaluation. The aim of the present paper was to develop a multidimensional measure of trust in healthcare that: (1) Is responsive to the conceptual and methodological limitations of existing measures; (2) Can be used to identify systemic explanations for lower levels of trust in equity-deserving populations; (3) Can be used to design and evaluate interventions aiming to (re)build trust. Methods: We conducted a 2021 review of existing measures of trust in healthcare, 72 qualitative interviews (Aug-Dec 2021; oversampling for equity-deserving populations), an expert review consensus process (Oct 2021), and factor analyses and validation testing based on two waves of survey data (Nov 2021, n = 694; Jan-Feb 2022, n = 740 respectively). Findings: We present the Trust in Multidimensional Healthcare Systems Scale (TIMHSS); a 38-item correlated three-factor measure of trust in doctors, policies, and the system. Measurement of invariance tests suggest that the TIMHSS can also be reliably administered to diverse populations. Conclusions: This global measure of trust in healthcare can be used to measure trust over time at a population level, or used within specific subpopulations, to inform interventions to (re)build trust. It can also be used within a clinical setting to provide a stronger evidence base for associations between trust and therapeutic outcomes. [ABSTRACT FROM AUTHOR]

While the health of and healthcare use by migrants has received significant scholarly and policy attention in Australia, current debates highlight that a critical examination of the theoretical underpinnings of these inquiries and responses is needed. We conducted a systematic review and critical interpretive synthesis (CIS) to critically examine how the policy and scholarly literature conceptualises migrants' interactions with and experiences of the Australian health system. Guided by PRISMA, we searched for literature without imposing any limits. We also searched key State and Federal Government websites for relevant policy documents. Our initially broad inclusion criteria became refined as the CIS progressed. We prioritised the likely relevance and theoretical contribution of the papers to our inquiry over methodological quality. The CIS of 104 papers revealed that the Australian scholarly literature and policy documents consistently homogenise and reduce migrants according to an assumed, (1) cultural identity, (2) linguistic affiliation, and/or (3) broad geographic origin. Based on these three critiques and drawing on the theoretical literature, we propose a synthesising argument on how the Australian literature could better conceptualise migrants' experiences of the Australian health system. We contend that both research and policy should explicitly recognise and engage with the multifaceted and shifting ways that migrants define themselves, generally, and during their encounters with destination country health systems. Engagement with this notion is necessary for also understanding how aspects of migrants' identities are dynamically co-constructed during their interactions with the health system. These understandings have implications for improving the design and implementation of policies and programs directed at improving the responsiveness of Australia's health system to the needs and expectations of migrant communities specifically, and destination countries broadly. [ABSTRACT FROM AUTHOR]

Background: Health policy interventions were expected to improve access to health care delivery, provide financial risk protection, besides reducing inequities that underlie geographic and socio-economic variation in population access to health care. This article examines whether health policy interventions and accelerated health investments in India during 2004–2018 could close the gap in inequity in health care utilization and access to public subsidy by different population groups. Did the poor and socio-economically vulnerable population gain from such government initiatives, compared to the rich and affluent sections of society? And whether the intended objective of improving equity between different regions of the country been achieved during the policy initiatives? This article attempts to assess and provide robust evidence in the Indian context. Methods: Employing Benefit-Incidence Analysis (BIA) framework, this paper advances earlier evidence by highlighting estimates of health care utilization, concentration and government subsidy by broader provider categories (public versus private) and across service levels (outpatient, inpatient, maternal, pre-and post-natal services). We used 2 waves of household surveys conducted by the National Sample Survey Organisation (NSSO) on health and morbidity. The period of analysis was chosen to represent policy interventions spanning 2004 (pre-policy) and 2018 (post-policy era). We present this evidence across three categories of Indian states, namely, high-focus states, high-focus north eastern states and non-focus states. Such categorization facilitates quantification of reform impact of policy level interventions across the three groups. Results: Utilisation of healthcare services, except outpatient care visits, accelerated significantly in 2018 from 2004. The difference in utilisation rates between poor and rich (between poorest 20% and richest 20%) had significantly declined during the same period. As far as concentration of healthcare is concerned, the Concentrate Index (CI) underlying inpatient care in public sector fell from 0.07 in 2004 to 0.05 in 2018, implying less pro-rich distribution. The CI in relation to pre-natal, institutional delivery and postnatal services in government facilities were pro-poor both in 2004 and 2018 in all 3 groups of states. The distribution of public subsidy underscoring curative services (inpatient and outpatient) remained pro-rich in 2004 but turned less pro-rich in 2018, measured by CIs which declined sharply across all groups of states for both outpatient (from 0.21 in 2004 to 0.16 in 2018) and inpatient (from 0.24 in 2004 to 0.14 in 2018) respectively. The CI for subsidy on prenatal services declined from approximately 0.01 in 2004 to 0.12 in 2018. In respect to post-natal care, similar results were observed, implying the subsidy on prenatal and post-natal services was overwhelmingly received by poor. The CI underscoring subsidy for institutional delivery although remained positive both in 2018 and 2004, but slightly increased from 0.17 in 2004 to 0.28 in 2018. Conclusions: Improvement in infrastructure and service provisioning through NHM route in the public facilities appears to have relatively benefited the poor. Yet they received a relatively smaller health subsidy than the rich when utilising inpatient and outpatient health services. Inequality continues to persist across all healthcare services in private health sector. Although the NHM remained committed to broader expansion of health care services, a singular focus on maternal and child health conditions especially in backward regions of the country has yielded desired results. [ABSTRACT FROM AUTHOR]

Background: The reduction of health inequalities is a focus of many national and international health organisations. The need for pragmatic evidence-based approaches has led to the development of a number of evidence-based equity initiatives. This paper describes a new program that focuses upon evidencebased tools, which are useful for policy initiatives that reduce inequities. Methods: This paper is based on a presentation that was given at the "Regional Consultation on Policy Tools: Equity in Population Health Reports," held in Toronto, Canada in June 2002. Results: Five assessment tools were presented. 1. A database of systematic reviews on the effects of educational, legal, social, and health interventions to reduce unfair inequalities is being established through the Cochrane and Campbell Collaborations. 2 Decision aids and shared decision making can be facilitated in disadvantaged groups by 'health coaches' to help people become better decision makers, negotiators, and navigators of the health system; a pilot study in Chile has provided proof of this concept. 3. The CIET Cycle: Combining adapted cluster survey techniques with qualitative methods, CIET's population based applications support evidence-based decision making at local and national levels. The CIET map generates maps directly from survey or routine institutional data, to be used as evidence-based decisions aids. Complex data can be displayed attractively, providing an important tool for studying and comparing health indicators among and between different populations. 4. The Ottawa Equity Gauge is applying the Global Equity Gauge Alliance framework to an industrialised country setting. 5 The Needs-Based Health Assessment Toolkit, established to assemble information on which clinical and health policy decisions can be based, is being expanded to ensure a focus on distribution and average health indicators. Conclusion: Evidence-based planning tools have much to offer the goal of equitable health development. [ABSTRACT FROM AUTHOR]

Introduction In Hong Kong, migrants arriving from Mainland China often have multiple roles and responsibilities while adapting to new lives in their host destination. This paper explored the factors that contribute to the inequity in health services utilisation experienced by these migrants; and, identified the elements that could constitute an effective health delivery model to address the service gap. Methods Site visits and a focus group discussion (n = 13) were held with both public and private health providers before a number of innovative health delivery models were formulated. They were then circulated among the panel in two further rounds of Delphi survey (n = 11) from March- April 2012 to systematically collect opinions and select the most endorsed health service models to serve this target population. Results Focus group members perceived that most migrants were unaware of, or even ignored, their own physical and mental health needs, and had low utilisation of healthcare services, because of their pre-occupation with daily chores and hardship as well as differing health values, practices and expectations. They further identified that the structural issues such as the healthcare setting or the operation of current service provisions had failed to meet migrants' health needs. Consequently, four new service models that incorporated professional advice and empowerment, which were identified as the two most important elements, were put forward. Thus, the model of having a nurse with social work training, supported by volunteer groups, was selected as the best option to familiarise and empower patients within the labyrinth of local healthcare services. Conclusion Implementation of a social empowerment model by way of targeted support and specific health information is recommended. Further evaluation of this model is needed to understand its effectiveness for improving health literacy and health status in this disadvantaged group in the long term. [ABSTRACT FROM AUTHOR]

Context: The Kenya Partnership for Health (KPH) program began in 1999, and is currently one of the 12 field projects participating in the WHO's 'Towards Unity for Health initiative' implemented to develop partnership synergies in support of the Primary Health Care (PHC) approach [1]. Content: This paper illustrates how Program-linked Information Management by Integrative-participatory Research Approach (PIMIRA) as practised under KPH has been implemented within Trans-Nzoia District, Kenya to enhance community-based health initiatives. It shows how this model is strategically being scaled-up from one community to another in the management of political, social, cultural and economic determinants (barriers and enhancers) of health. Objective: Target rural communities in the development of a community-based health information management and feedback initiatives that can provide insights on the social, cultural, political and economic determinants of health for utilization in informed health service management. Key Findings and Achievements: 1. Cues for health seeking and health service utilization are determined by the social, cultural, political and economic factors as seen by the individual and as defined by the community but not due to the pathological nature of the illness. 2. Establishment of community-based health surveillance and health action initiatives as the best practices in transferring health as a resource that can be 'owned and guarded' by the community. 3. Establishment of Healthy Villages Initiative (HVI) through which health service delivery and scale-up can be sustained at the community level. 4. Provision of actionable health information necessary for health planning and evaluation of preventive health programs thorough PIMIRA. Conclusion: It has been realized that for every one person who visits a health facility for medication, there are nine others who had the same condition but sought health care from other sources including self-medication and five others who never sought health care. Innovative means of involving the community in health information management and utilization such as PIMIRA are hence the best ways of guaranteeing equitable delivery of health services that are accessible and sustainable by the community. [ABSTRACT FROM AUTHOR]

Background: In 2002 Afghanistan's Ministry of Public Health (MoPH) and its development partners initiated a new paradigm for the health sector by electing to Contract-Out (CO) the Basic Package of Health Services (BPHS) to non-state providers (NSPs). This model is generally regarded as successful, but literature is scarce that examines the motivations underlying implementation and factors influencing program success. This paper uses relevant theories and qualitative data to describe how and why contracting out delivery of primary health care services to NSPs has been effective. The main aim of this study was to assess the contextual, institutional, and contractual factors that influenced the performance of NSPs delivering the BPHS in Afghanistan. Methods: The qualitative study design involved individual in-depth interviews and focus group discussions conducted in six provinces of Afghanistan, as well as a desk review. The framework for assessing key factors of the contracting mechanism proposed by Liu et al. was utilized in the design, data collection and data analysis. Results: While some contextual factors facilitated the CO (e.g. MoPH leadership, NSP innovation and community participation), harsh geography, political interference and insecurity in some provinces had negative effects. Contractual factors, such as effective input and output management, guided health service delivery. Institutional factors were important; management capacity of contracted NSPs affects their ability to deliver outcomes. Effective human resources and pharmaceutical management were notable elements that contributed to the successful delivery of the BPHS. The contextual, contractual and institutional factors interacted with each other. Conclusion: Three sets of factors influenced the implementation of the BPHS: contextual, contractual and institutional. The MoPH should consider all of these factors when contracting out the BPHS and other functions to NSPs. Other fragile states and countries emerging from a period of conflict could learn from Afghanistan's example in contracting out primary health care services, keeping in mind that generic or universal contracting policies might not work in all geographical areas within a country or between countries. [ABSTRACT FROM AUTHOR]