Networks of care to strengthen primary healthcare in resource constrained settings

Networks of care are a promising way to provide support and resources for isolated primary care workers and deserve more research, argue Enoch Oti Agyekum and colleague

Decolonisation and quality of care.

Delivering high quality healthcare for all requires recognising the legacies of colonialism in driving power asymmetries and producing inequitable health outcomes both within and between countries say Bernice Yanful and colleagues

PHC Progression Model: A novel mixed-methods tool for measuring primary health care system capacity

High-performing primary health care (PHC) is essential for achieving universal health coverage. However, in many countries, PHC is weak and unable to deliver on its potential. Improvement is often limited by a lack of actionable data to inform policies and set priorities. To address this gap, the Primary Health Care Performance Initiative (PHCPI) was formed to strengthen measurement of PHC in low-income and middle-income countries in order to accelerate improvement. PHCPI´s Vital Signs Profile was designed to provide a comprehensive snapshot of the performance of a country´s PHC system, yet quantitative information about PHC systems´ capacity to deliver high-quality, effective care was limited by the scarcity of existing data sources and metrics. To systematically measure the capacity of PHC systems, PHCPI developed the PHC Progression Model, a rubric-based mixed-methods assessment tool. The PHC Progression Model is completed through a participatory process by in-country teams and subsequently reviewed by PHCPI to validate results and ensure consistency across countries. In 2018, PHCPI partnered with five countries to pilot the tool and found that it was feasible to implement with fidelity, produced valid results, and was highly acceptable and useful to stakeholders. Pilot results showed that both the participatory assessment process and resulting findings yielded novel and actionable insights into PHC strengths and weaknesses. Based on these positive early results, PHCPI will support expansion of the PHC Progression Model to additional countries to systematically and comprehensively measure PHC system capacity in order to identify and prioritise targeted improvement efforts.Fil: Ratcliffe, Hannah L.. Brigham And Women's Hospital; Estados Unidos. Harvard T.H. Chan School of Public Health; Estados UnidosFil: Schwarz, Dan. Harvard T.H. Chan School of Public Health; Estados Unidos. Brigham And Women's Hospital; Estados UnidosFil: Hirschhorn, Lisa R.. Northwestern University; Estados UnidosFil: Cejas, Cintia. Ministerio de Desarrollo Social; Argentina. Ministerio de Salud de la Nación; ArgentinaFil: DIallo, Abdoulaye. Ministry Of Health And Social Action; SenegalFil: Garcia Elorrio, Ezequiel. Instituto de Efectividad Clínica y Sanitaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Fifield, Jocelyn. Brigham And Women's Hospital; Estados Unidos. Harvard T.H. Chan School of Public Health; Estados UnidosFil: Gashumba, DIane. Ministry of Health; RuandaFil: Hartshorn, Lucy. Harvard T.H. Chan School of Public Health; Estados Unidos. Brigham And Women's Hospital; Estados UnidosFil: Leydon, Nicholas. Bill And Melinda Gates Foundation; Estados UnidosFil: Mohamed, Mohamed. Ministry Of Health And Social Welfare Dar Es Salaam; TanzaniaFil: Nakamura, Yoriko. Results For Development; Estados UnidosFil: Ndiaye, Youssoupha. Ministry Of Health And Social Action; SenegalFil: Novignon, Jacob. Kwame Nkrumah University Of Science And Technology; GhanaFil: Ofosu, Anthony. Ghana Health Service; GhanaFil: Roder Dewan, Sanam. Organización de las Naciones Unidas. Unicef. Fondo de las Naciones Unidas para la Infancia; ArgentinaFil: Rwiyereka, Angelique. Global Health Issues and Solutions; Estados UnidosFil: Secci, Federica. The World Bank Group; Estados UnidosFil: Veillard, Jeremy H.. The World Bank Group; Estados UnidosFil: Bitton, Asaf. Harvard T.H. Chan School of Public Health; Estados Unidos. Brigham And Women's Hospital; Estados Unido

Financing networks of care: a cross-case analysis from six countries

Objectives Describe experiences of countries with networks of care’s (NOCs’) financial arrangements, identifying elements, strategies and patterns.Design Descriptive using a modified cross-case analysis, focusing on each network’s financing functions (collecting resources, pooling and purchasing).Setting Health systems in six countries: Argentina, Australia, Canada, Singapore, the United Kingdom and the USA.Participants Large-scale NOCs.Results Countries differ in their strategies to implement and finance NOCs. Two broad models were identified in the six cases: top-down (funding centrally designed networks) and bottom-up (financing individual projects) networks. Despite their differences, NOCs share the goal of improving health outcomes, mainly through the coordination of providers in the system; these results are achieved by devoting extra resources to the system, including incentives for network formation and sustainability, providing extra services and setting incentive systems for improving the providers’ performance.Conclusions Results highlight the need to better understand the financial implications and alternatives for designing and implementing NOCs, particularly as a strategy to promote better health in low- and middle-income settings

High quality health systems in the SDG era: Country-specific priorities for improving quality of care.

Hannah Leslie and co-authors discuss priorities in individual countries for health system reform

Embedding implementation research to cross the quality of care chasm during the covid-19 pandemic and beyond

Michael Peters and colleagues argue that concerted efforts to embed implementation research can improve health services, even in the most challenging operating environments

Expectations of healthcare quality: A cross-sectional study of internet users in 12 low- and middle-income countries.

BackgroundHigh satisfaction with healthcare is common in low- and middle-income countries (LMICs), despite widespread quality deficits. This may be due to low expectations because people lack knowledge about what constitutes good quality or are resigned about the quality of available services.Methods and findingsWe fielded an internet survey in Argentina, China, Ghana, India, Indonesia, Kenya, Lebanon, Mexico, Morocco, Nigeria, Senegal, and South Africa in 2017 (N = 17,996). It included vignettes describing poor-quality services-inadequate technical or interpersonal care-for 2 conditions. After applying population weights, most of our respondents lived in urban areas (59%), had finished primary school (55%), and were under the age of 50 (75%). Just over half were men (51%), and the vast majority reported that they were in good health (73%). Over half (53%) of our study population rated the quality of vignettes describing poor-quality services as good or better. We used multilevel logistic regression and found that good ratings were associated with less education (no formal schooling versus university education; adjusted odds ratio [AOR] 2.22, 95% CI 1.90-2.59, P ConclusionsMajorities of the internet-using public in 12 LMICs have low expectations of healthcare quality as evidenced by high ratings given to poor-quality care. Low expectations of health services likely dampen demand for quality, reduce pressure on systems to deliver quality care, and inflate satisfaction ratings. Policies and interventions to raise people's expectations of the quality of healthcare they receive should be considered in health system quality reforms