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BACKGROUND: Assessing patients' experience with primary care complements measures of clinical health outcomes in evaluating service performance. Measuring patients' experience and satisfaction are among Malawi's health sector strategic goals. The purpose of this study was to investigate patients' experience with primary care and to identify associated patients' sociodemographic, healthcare and health characteristics. METHODS: This was a cross sectional survey using questionnaires administered in public primary care facilities in Neno district, Malawi. Data on patients' primary care experience and their sociodemographic, healthcare and health characteristics were collected through face to face interviews using a validated Malawian version of the primary care assessment tool (PCAT-Mw). Mean scores were derived for the following dimensions: first contact access, continuity of care, comprehensiveness, community orientation and total primary care. Linear regression models were used to assess association between primary care dimension scores and patients' characteristics. RESULTS: From 631 completed questionnaires, first contact access, relational continuity and comprehensiveness of services available scored below the defined minimum. Sex, geographical location, self-rated health status, duration of contact with facility and facility affiliation were associated with patients' experience with primary care. These factors explained 10.9% of the variance in total primary care scores; 25.2% in comprehensiveness of services available and 29.4% in first contact access. CONCLUSION: This paper presents results from the first use of the validated PCAT-Mw. The study provides a baseline indicating areas that need improvement. The results can also be used alongside clinical outcome studies to provide comprehensive evaluation of primary care performance in Malawi.
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Instituciones de Salud/normas , Atención Primaria de Salud/normas , Adolescente , Adulto , Anciano , Atención Ambulatoria/normas , Atención Ambulatoria/estadística & datos numéricos , Estudios Transversales , Exactitud de los Datos , Atención a la Salud/normas , Femenino , Instituciones de Salud/estadística & datos numéricos , Humanos , Malaui , Masculino , Persona de Mediana Edad , Pacientes Ambulatorios/psicología , Aceptación de la Atención de Salud/estadística & datos numéricos , Satisfacción del Paciente , Atención Primaria de Salud/estadística & datos numéricos , Salud Rural/estadística & datos numéricos , Encuestas y Cuestionarios , Adulto JovenRESUMEN
BACKGROUND AND OBJECTIVES: Many frameworks describing primary care (PC) organization exist. This study proposes a consolidated framework based on the synthesis of published frameworks for the assessment of primary care organization and performance. APPROACH: We conducted a review of the literature to identify relevant existing frameworks that aimed to describe PC organization or/and monitor its activities. First, we extracted all domains from the frameworks and then hierarchically organized them into domains, dimensions and elements. Second, we mapped key domains. Third, we grouped together domains covering the same field to build a consolidated framework. Finally, the consolidated framework was assessed by 10 international experts in PC evaluation using a survey. RESULTS: We retained seven frameworks. The consolidated framework comprises four domains: 1) population needs; 2) organization and structure of PC practices; 3) delivery of PC services and 4) patient and population health outcomes. We added five connecting constructs to the framework in order to link the domains: accessibility, appropriateness, productivity, efficiency, effectiveness, equity and integration. None of the previously published frameworks encompassed all domains, dimensions and elements of the new consolidated framework. CONCLUSION: We propose a consolidated framework of PC organization based on the synthesis of seven published frameworks. This unitary framework may provide a foundation for comparative assessment across various contexts to support researchers and policy makers.
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Atención Primaria de Salud , HumanosRESUMEN
OBJECTIVE: In most African countries, primary care is delivered through a district health system. Many factors, including staffing levels, staff experience, availability of equipment and facility management, affect the quality of primary care between and within countries. The purpose of this study was to assess the quality of primary care in different types of public health facilities in Southern Malawi. STUDY DESIGN: This was a cross-sectional quantitative study. SETTING: The study was conducted in 12 public primary care facilities in Neno, Blantyre and Thyolo districts in July 2018. PARTICIPANTS: Patients aged ≥18 years, excluding the severely ill, were selected to participate in the study. PRIMARY OUTCOMES: We used the Malawian primary care assessment tool to conduct face-to-face interviews. Analysis of variance at 0.05 significance level was performed to compare primary care dimension means and total primary care scores. Linear regression models at 95% CI were used to assess associations between primary care dimension scores, patients' characteristics and healthcare setting. RESULTS: The final number of respondents was 962 representing 96.1% response rate. Patients in Neno hospitals scored 3.77 points higher than those in Thyolo health centres, and 2.87 higher than those in Blantyre health centres in total primary care performance. Primary care performance in health centres and in hospital clinics was similar in Neno (20.9 vs 19.0, p=0.608) while in Thyolo, it was higher at the hospital than at the health centres (19.9 vs 15.2, p<0.001). Urban and rural facilities showed a similar pattern of performance. CONCLUSION: These results showed considerable variation in experiences among primary care users in the public health facilities in Malawi. Factors such as funding, policy and clinic-level interventions influence patients' reports of primary care performance. These factors should be further examined in longitudinal and experimental settings.
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Instituciones de Salud/normas , Atención Primaria de Salud/normas , Adolescente , Adulto , Instituciones de Atención Ambulatoria/normas , Instituciones de Atención Ambulatoria/estadística & datos numéricos , Estudios Transversales , Femenino , Instituciones de Salud/estadística & datos numéricos , Humanos , Modelos Lineales , Malaui , Masculino , Persona de Mediana Edad , Análisis Multivariante , Pacientes Ambulatorios/psicología , Aceptación de la Atención de Salud/estadística & datos numéricos , Satisfacción del Paciente , Atención Primaria de Salud/estadística & datos numéricos , Calidad de la Atención de Salud/normas , Salud Rural/estadística & datos numéricos , Encuestas y Cuestionarios , Adulto JovenRESUMEN
Background. Improving performance of primary care systems in low- and middle-income countries (LMICs) may be a necessary condition for achievement of universal health coverage in the age of Sustainable Development Goals. The Salud Mesoamerica Initiative (SMI), a large-scale, multi-country program that uses supply-side financial incentives directed at the central-level of governments, and continuous, external evaluation of public, health sector performance to induce improvements in primary care performance in eight LMICs. This study protocol seeks to explain whether and how these interventions generate program effects in El Salvador and Honduras. Methods. This study presents the protocol for a study that uses a realist evaluation approach to develop a preliminary program theory that hypothesizes the interactions between context, interventions and the mechanisms that trigger outcomes. The program theory was completed through a scoping review of relevant empirical, peer-reviewed and grey literature; a sense-making workshop with program stakeholders; and content analysis of key SMI documents. The study will use a multiple case-study design with embedded units with contrasting cases. We define as a case the two primary care systems of Honduras and El Salvador, each with different context characteristics. Data will be collected through in-depth interviews with program actors and stakeholders, documentary review, and non-participatory observation. Data analysis will use inductive and deductive approaches to identify causal patterns organized as 'context, mechanism, outcome' configurations. The findings will be triangulated with existing secondary, qualitative and quantitative data sources, and contrasted against relevant theoretical literature. The study will end with a refined program theory. Findings will be published following the guidelines generated by the Realist and Meta-narrative Evidence Syntheses study (RAMESES II). This study will be performed contemporaneously with SMI's mid-term stage of implementation. Of the methods described, the preliminary program theory has been completed. Data collection, analysis and synthesis remain to be completed.