Creating performance intelligence for primary health care strengthening in Europe

A Multi-dimensional Framework of Valued Output for Primary Care in England

Improving efficiency and productivity are key aspects to ensure that general practices in England can meet the needs of a growing population with increasingly demanding and costly healthcare needs. However, current evidence on the efficiency and productivity of general practices is weak, partly due to suboptimal approaches to measure their 'valued' output. To overcome this limitation, this paper presents a multi-dimensional framework and indicators of valued output from the healthcare decision-maker's perspective. We identified existing primary care performance frameworks through a targeted literature review. We reviewed the frameworks and selected the dimensions relating to the impact on patients' health outcomes, corresponding with the definition of 'valued' output from the healthcare decision-maker perspective. For each dimension, we reviewed the National Institute for Health and Care Excellence (NICE) evidence base and guidance on best practice to develop indicators of valued output. Clinical experts and representatives of the main primary care stakeholders reviewed and validated the framework's comprehensiveness and development process. Based on a review of three existing frameworks, we synthesised a multi-dimensional output framework comprising 13 dimensions for significant primary care-related conditions and services and 51 indicators of valued output. Each indicator of valued output measures a healthcare episode and the resulting impact on patient's health. The multi-dimensional framework and indicators provide a theoretical tool to improve the measurement of primary care output in economic efficiency and productivity studies. Future research should explore the measurability of the indicators through available datasets and the implementation of the framework through analytical approaches for efficiency measurement.

Exploring the accessibility of primary health care data in Europe's COVID-19 response: developing key indicators for managing future pandemics (Eurodata study)

BACKGROUND

Primary Health Care (PHC) plays a crucial role in managing the COVID-19 pandemic, with only 8% of cases requiring hospitalization. However, PHC COVID-19 data often goes unnoticed on European government dashboards and in media discussions. This project aims to examine official information on PHC patient care during the COVID-19 pandemic in Europe, with specific objectives: (1) Describe PHC's clinical pathways for acute COVID-19 cases, including long-term care facilities, (2) Describe PHC COVID-19 pandemic indicators, (3) Develop COVID-19 PHC activity indicators, (4) Explain PHC's role in vaccination strategies, and (5) Create a PHC contingency plan for future pandemics.

METHODS

A mixed-method study will employ two online questionnaires to gather retrospective PHC data on COVID-19 management and PHC involvement in vaccination strategies. Validation will occur through focus group discussions with medical and public health (PH) experts. A two-wave Delphi survey will establish a European PHC indicators dashboard for future pandemics. Additionally, a coordinated health system action plan involving PHC, secondary care, and PH will be devised to address future pandemic scenarios.

ANALYSIS

Quantitative data will be analysed using STATA v16.0 for descriptive and multivariate analyses. Qualitative data will be collected through peer-reviewed questionnaires and content analysis of focus group discussions. A Delphi survey and multiple focus groups will be employed to achieve consensus on PHC indicators and a common European health system response plan for future pandemics. The Eurodata research group involving researchers from 28 European countries support the development.

DISCUSSION

While PHC manages most COVID-19 acute cases, data remains limited in many European countries. This study collects data from numerous countries, offering a comprehensive perspective on PHC's role during the pandemic in Europe. It pioneers the development of a PHC dashboard and health system plan for pandemics in Europe. These results may prove invaluable in future pandemics. However, data may have biases due to key informants' involvement and may not fully represent all European GP practices. PHC has a significant role in the management of the COVID-19 pandemic, as most of the cases are mild or moderate and only 8% needed hospitalization. However, PHC COVID-19 activity data is invisible on governments' daily dashboards in Europe, often overlooked in media and public debates.

Evaluating China's primary healthcare services' efficiency and spatial correlation: a three-stage DEA-Malmquist model

Introduction

Enhancing the efficiency of primary healthcare services is essential for a populous and developing nation like China. This study offers a systematic analysis of the efficiency and spatial distribution of primary healthcare services in China. It elucidates the fundamental landscape and regional variances in efficiency, thereby furnishing a scientific foundation for enhancing service efficiency and fostering coordinated regional development.

Methods

Employs a three-stage DEA-Malmquist model to assess the efficiency of primary healthcare services across 31 provincial units in mainland China from 2012 to 2020. Additionally, it examines the spatial correlation of efficiency distribution using the Moran Index.

Results

The efficiency of primary healthcare services in China is generally suboptimal with a noticeable declining trend, highlighting significant potential for improvement in both pure technical efficiency and scale efficiency. There is a pronounced efficiency gap among provinces, yet a positive spatial correlation is evident. Regionally, efficiency ranks in the order of East > Central > West. Factors such as GDP per capita and population density positively influence efficiency enhancements, while urbanization levels and government health expenditures appear to have a detrimental impact.

Discussion

The application of the three-stage DEA-Malmquist model and the Moran Index not only expands the methodological framework for researching primary healthcare service efficiency but also provides scientifically valuable insights for enhancing the efficiency of primary healthcare services in China and other developing nations.

A scoping review of continuous quality improvement in healthcare system: conceptualization, models and tools, barriers and facilitators, and impact

BACKGROUND

The growing adoption of continuous quality improvement (CQI) initiatives in healthcare has generated a surge in research interest to gain a deeper understanding of CQI. However, comprehensive evidence regarding the diverse facets of CQI in healthcare has been limited. Our review sought to comprehensively grasp the conceptualization and principles of CQI, explore existing models and tools, analyze barriers and facilitators, and investigate its overall impacts.

METHODS

This qualitative scoping review was conducted using Arksey and O'Malley's methodological framework. We searched articles in PubMed, Web of Science, Scopus, and EMBASE databases. In addition, we accessed articles from Google Scholar. We used mixed-method analysis, including qualitative content analysis and quantitative descriptive for quantitative findings to summarize findings and PRISMA extension for scoping reviews (PRISMA-ScR) framework to report the overall works.

RESULTS

A total of 87 articles, which covered 14 CQI models, were included in the review. While 19 tools were used for CQI models and initiatives, Plan-Do-Study/Check-Act cycle was the commonly employed model to understand the CQI implementation process. The main reported purposes of using CQI, as its positive impact, are to improve the structure of the health system (e.g., leadership, health workforce, health technology use, supplies, and costs), enhance healthcare delivery processes and outputs (e.g., care coordination and linkages, satisfaction, accessibility, continuity of care, safety, and efficiency), and improve treatment outcome (reduce morbidity and mortality). The implementation of CQI is not without challenges. There are cultural (i.e., resistance/reluctance to quality-focused culture and fear of blame or punishment), technical, structural (related to organizational structure, processes, and systems), and strategic (inadequate planning and inappropriate goals) related barriers that were commonly reported during the implementation of CQI.

CONCLUSIONS

Implementing CQI initiatives necessitates thoroughly comprehending key principles such as teamwork and timeline. To effectively address challenges, it's crucial to identify obstacles and implement optimal interventions proactively. Healthcare professionals and leaders need to be mentally equipped and cognizant of the significant role CQI initiatives play in achieving purposes for quality of care.

Performance indicators of Primary Care of the Previne Brasil Program

OBJECTIVE

to analyze the scope of the performance indicators of the Previne Brasil Program of Primary Health Care.

METHOD

an observational, descriptive study with a quantitative approach was carried out using secondary data, referring to the years 2020 and 2021, in the five Brazilian regions (North, Northeast, South, Southeast and Midwest), available in the Primary Health Care Information System. Descriptive statistics, relative frequencies and measures of central tendency and semiparametric modeling were used considering a 5% confidence interval.

RESULTS

there was evidence of evolution in the rates of performance indicators in most Brazilian regions in 2021, compared to 2020, however, the North and Midwest regions had incipient or negative rates, compared to the Southeast region. Despite the evolution in the rates of the indicators, few States managed to reach the goals established by the Ministry of Health for the strategic actions of prenatal care and women's health; and no state achieved the goal in strategic action on chronic diseases.

CONCLUSION

it is considered important to monitor the evolution of current indicators, envisioning their qualification so that they can evaluate primary health care and assistance, as well as guarantee the achievement of goals by ensuring funding for primary care actions.

General Practitioners activity patterns: the medium-term impacts of Primary Care Teams in France

Faced with the fragmentation of the French primary care system, public policies aim to promote multiprofessional teamwork to improve both delivery efficiency and health professionals' working conditions. Thus, a practice-level add-on payment backed by cooperation commitments is implemented to foster and sustain the development of multiprofessional primary care groups (MPCGs). We study the impact of practising in MPCGs for general practitioners (GPs) in terms of the supply of care, practice patterns and income. Based on this quasiexperimental framework with a panel dataset covering the period 2005-2017, we account for the selection into MPCGs by combining a difference-in-differences design with propensity score matching to prebalance samples. We show that GPs in MPCGs increased their patient list more rapidly than control GPs (+10% increase of encountered patients) without increasing their provision of services (number of visits and drug prescriptions) more rapidly. Instead, compared to control GPs, MPCG GPs had a significantly faster reduction in the average number of visits (+5.5% reduction) and the euro-amounts of drug prescriptions per patient (+7.2% reduction) and other prescriptions. The growth of these effects between the short and medium term moreover suggests that the properties of multi-professional coordination and cooperation need time to develop.

Associations Among Organizational Capabilities, Organizational Performance and the Medical Alliance Implementation Effect in Community Health Centers in China: A Moderated Mediation Model

Purpose

Community health centers (CHCs) are an important part of the healthcare system worldwide. Based on the dual process model of organizational capabilities, this study explores the relationship between organizational capabilities and the organizational performance of CHCs, as well as the role played by the medical alliance implementation effect.

Methods

In this study, whole-group sampling was used to extract CHCs. All 135 CHCs in 8 of 16 districts of Beijing were selected as subjects. The organizational capabilities of the CHCs and the medical alliance implementation effect were evaluated using a questionnaire survey of 1957 managers and 3622 medical staff, respectively. A pathway analysis of the mediating role of the organizational capabilities of CHCs and the moderating role of the medical alliance implementation effect was conducted using Mplus 8.0.

Results

The development capabilities had a positive impact on basic capabilities (β = 0.878, P < 0.001), and core capabilities (β = 0.952, P < 0.001), but had no direct impact on organizational performance. Basic capabilities positively affected organizational performance (β = 1.163, P < 0.001), and core capabilities negatively affected organizational performance (β =- 0.886, P = 0.004). Both basic capabilities (β =1.022, P < 0.001) and core capabilities (β =- 0.843, P = 0.005) played a mediating role in the relationship between development capabilities and organizational performance. The moderating role of the medical alliance implementation effect was not significant.

Conclusion

This study found that strengthening the organizational capabilities of CHCs can effectively improve their performance, with the development of basic capabilities being a primary concern. The medical alliance implementation effect has not had a significant impact on organizational performance, and the cooperation between CHCs and high-level hospitals should be further promoted to give full play to the medical alliance's role and improve the organizational performance of CHCs.

Identifying key policy objectives for strong primary care: a cross-sectional study

AIM

The aim of this study was to identify key policy objectives by investigating the perception of important stakeholders and affected professionals concerning relevance and feasibility of a successful primary care (PC) reform.

BACKGROUND

Since 2013, the Austrian PC system has been undergoing a reform process to establish multiprofessional primary care units. The reforms have various defined objectives and lack clear priorities.

METHODS

After the definition and consensus-based selection of 12 policy objectives, a cross-sectional online survey on their relevance and feasibility was distributed via email and social media to PC and public health networks. The survey was conducted in the period from January to February 2020. Results were analyzed descriptively, and further, Pearson Chi-Square Test or Fisher's Exact Test was performed for group comparison regarding respondents' characteristics. Open-ended responses were analyzed using qualitative content analysis.

FINDINGS

In total, 169 questionnaires were completed. A total of 46.3% of the responders had more than 20 years of professional experience (female: 60.5%). A mandatory internship in general practice, vocational training for general practice, and a modern remuneration system were the three top-rated policy objectives regarding relevance. A mandatory internship in general practice, specialization in general practice, and coding of services and diagnosis were assessed as the most feasible objectives. The group comparisons regarding working field, years of professional experience, age, and sex did not show any meaningful results in the evaluation of relevance and feasibility.

DISCUSSION

In the view of the study participants, easily obtainable objectives include adapting the duration and setting of internships for medical students, as well as mandatory vocational training for GP trainees. Further efforts are necessary to achieve complex objectives such as the adoption of a modern remuneration scheme and a comprehensive quality assurance program. Building capacity and creating team-oriented environments are also important aspects of a successful PC reform.

Patient experience in community health services and first choice for medical attention: A cross-sectional study in Wuhan, China

OBJECTIVES

In China, it is up to the patients to choose between hospitals and primary care facilities to initiate their medical care. This study aimed to determine the association between patient experience with community health centres (CHCs, a predominant provider of community-based primary care) and patient preference of taking community-based primary care facilities as a first choice for medical attention.

METHODS

A questionnaire survey was conducted on 1919 patients who sought medical care in 55 CHCs in Wuhan, China. Respondents were asked to identify their preferred first choice for medical attention and rate their satisfaction with eight aspects of CHCs (basic facility, medical equipment, medical services, nursing services, treatment process, courtesy and responsiveness, time spent with medical doctor, pharmacy services). Multivariate logistic regression models were established to determine the association between the CHC experience and the first choice of providers after adjustment for variations in sociodemographic characteristics.

RESULTS

Over 90% of respondents were satisfied or very satisfied with the eight aspects of CHCs; but only 75% preferred to take community-based primary care facilities as their first choice for medical attention. Those who were older and had a lower income were more likely to choose community-based primary care facilities. Geographic proximity and higher levels of satisfaction with the basic facility, courtesy and responsiveness, and pharmacy services in the CHCs were associated with a higher likelihood of taking community-based primary care facilities as a first choice for medical attention.

CONCLUSION

The consumers of CHCs are generally satisfied with the services they received. However, one quarter of the CHC patients are yet to be convinced to accept community-based primary care facilities as a preferred first provider for medical care. Geographic proximity and patient experience with CHCs are associated with the patient choice.

Common Features of Selection Processes of Health System Performance Indicators in Primary Healthcare: A Systematic Review

BACKGROUND

Health system performance indicators are widely used to assess primary healthcare (PHC) performance. Despite the numerous tools and some convergence on indicator criteria, there is not a clear understanding of the common features of indicator selection processes. We aimed to review the literature to identify papers that document indicator selection processes for health system performance indicators in PHC.

METHODS

We searched the online databases Scopus, Medline, and CINAHL, as well as the grey literature, without time restrictions, initially on July 31, 2019 followed by an update November 13, 2020. Empirical studies or reports were included if they described the selection of health system performance indicators or frameworks, that included PHC indicators. A combination of the process focussed research question and qualitative analysis meant a quality appraisal tool or assessment of bias could not meaningfully be applied to assess individual studies. We undertook an inductive analysis based on potential indicator selection processes criteria, drawn from health system performance indicator appraisal tools reported in the literature.

RESULTS

We identified 16 503 records of which 28 were included in the review. Most studies used a descriptive case study design. We found no consistent variations between indicator selection processes of health systems of high income and low- or lower-middle income countries. Identified common features of selection processes for indicators in PHC include literature review or adaption of an existing framework as an initial step; a consensus building process with stakeholders; structuring indicators into categories; and indicator criteria focusing on validity and feasibility. The evidence around field testing with utility and consideration of reporting burden was less clear.

CONCLUSION

Our findings highlight several characteristics of health system indicator selection processes. These features provide the groundwork to better understand how to value indicator selection processes in PHC.

Status of the health information system in Ireland and its fitness to support health system performance assessment: a multimethod assessment based on stakeholder involvement

Background

Between 2019 and 2021, the first Irish health system performance assessment (HSPA) framework was developed. As routinely collected health data are necessary to continuously populate indicators of an HSPA framework, a purpose-driven assessment of the health information system (HIS) in Ireland and its fitness to support the implementation of an HSPA framework was conducted. This study reports on the status of the Irish HIS through a multimethod assessment based on continuous broad stakeholder involvement.

Methods

Between May and November 2020, over 50 informants were engaged in individual and group interviews and stakeholder consultation workshops as part of the HIS assessment process. Descriptive themes and high-level data availability heatmaps were derived from interview and workshop data using thematic analysis. Indicator “passports” for the HSPA framework were populated during stakeholder consultation workshops and analysed using univariate descriptive statistics.

Results

The HIS in Ireland was able to provide administrative, survey and registry-based data for public sector acute care services, focusing on structure, process and output metrics. Significant data availability gaps, most notably from primary care, private hospitals and community care, were reported, with little availability of electronic health record and people-reported data. Data on outcome metrics were mostly missing, as were linkage possibilities across datasets for care pathway monitoring. The COVID-19 pandemic highlighted the national HIS’s shortcomings but also the capacity for rapid development and improvement.

Conclusions

A tailor-made assessment of the HIS in Ireland, involving a broad set of relevant stakeholders, revealed strengths, weaknesses and areas for improvement in the Irish health data landscape. It also contributed to the development of a national HSPA framework and momentum to further strengthen data infrastructure and governance, while working towards a more data-driven and person-centred healthcare system. This work demonstrates the utility of an inclusive HIS assessment process and is applicable beyond Ireland, where this case study was conducted.

Coordination between Primary Care Teams and Family Health Support Units and influence on Primary Care delivery

This article aims to compare the implementation of coordinated actions by family health/primary care (FH/PC) teams and extended family health and primary care units (NASF-ABs) in the Northeast and rest of Brazil, and the influence of implementation on collaborative working. The independent variables were 19 coordinated actions assessed by Module II of the 3rd Cycle of the National Program for Improving Primary Care Access and Quality (PMAQ-AB). The three collaborative working outcomes were "FH/PC team readiness to work jointly with the NASF-AB", "support received by the FH/PC team from the NASF-AB", and "The NASF-AB's contribution to resolving patients" needs. The implementation of coordinated actions by the Northeast and at national level was compared using the two-proportions z-test and the influence of these actions on the outcomes was assessed using hierarchical linear regression models: The Northeast implemented more actions that at national level (p<0.05). The implemented actions that had the most positive influence on the three outcomes were "Case conferences", "Joint development of singular therapy plans for complex cases", "Shared appointments" and "Results monitoring". The Northeast implemented more actions and the implemented actions had a positive influence on collaborative working.

How can the healthcare system deliver sustainable performance? A scoping review

BACKGROUND

Increasing health costs, demand and patient multimorbidity challenge the sustainability of healthcare systems. These challenges persist and have been amplified by the global pandemic.

OBJECTIVES

We aimed to develop an understanding of how the sustainable performance of healthcare systems (SPHS) has been conceptualised, defined and measured.

DESIGN

Scoping review of peer-reviewed articles and editorials published from database inception to February 2021.

DATA SOURCES

PubMed and Ovid Medline, and snowballing techniques.

ELIGIBILITY CRITERIA

We included articles that discussed key focus concepts of SPHS: (1) definitions, (2) measurement, (3) identified challenges, (4) identified solutions for improvement and (5) scaling successful solutions to maintain SPHS.

DATA EXTRACTION AND SYNTHESIS

After title/abstract screening, full-text articles were reviewed, and relevant information extracted and synthesised under the five focus concepts.

RESULTS

Of 142 included articles, 38 (27%) provided a definition of SPHS. Definitions were based mainly on financial sustainability, however, SPHS was also more broadly conceptualised and included acceptability to patients and workforce, resilience through adaptation, and rapid absorption of evidence and innovations. Measures of SPHS were also predominantly financial, but recent articles proposed composite measures that accounted for financial, social and health outcomes. Challenges to achieving SPHS included the increasingly complex patient populations, limited integration because of entrenched fragmented systems and siloed professional groups, and the ongoing translational gaps in evidence-to-practice and policy-to-practice. Improvement strategies for SPHS included developing appropriate workplace cultures, direct community and consumer involvement, and adoption of evidence-based practice and technologies. There was also a strong identified need for long-term monitoring and evaluations to support adaptation of healthcare systems and to anticipate changing needs where possible.

CONCLUSIONS

To implement lasting change and to respond to new challenges, we need context-relevant definitions and frameworks, and robust, flexible, and feasible measures to support the long-term sustainability and performance of healthcare systems.

Approaches to Measure Efficiency in Primary Care: A Systematic Literature Review

BACKGROUND

Primary care in England is facing increasing pressure due to the increasing number and complexity of consultations and the declining number of doctors per head of population. The improvement of primary care efficiency and productivity should be a priority, to ensure that future investments in the medical workforce can cope with the increasingly large and complex demand for care.

OBJECTIVES

This paper presents a systematic literature review of studies that define or measure efficiency in primary care in high-income settings. The review of the existing definitions of primary care efficiency and their limitations will inform future research on the measurement of efficiency in primary care in England and its determinants.

METHODS

Literature searches were performed on Embase, Medline, and EconLit in January 2020. The records that passed the screening were reviewed in full text, and data on the study settings, the efficiency definition, and the efficiency analysis were extracted.

RESULTS

Of the 2590 non-duplicate records retrieved from the searches, 38 papers were included in the analysis. The volume of the literature on primary care efficiency has evolved significantly from the 1980s, with the majority of the published studies focussing on European health systems. The setting most often analysed was primary care centres. Output was usually expressed using measures of primary care utilisation, with or without quality adjustments. Reference to the health outcomes achieved was, however, limited. Inputs were more commonly expressed in labour terms, while the exogenous variables related either to the characteristics of the patient population or the organisation of primary care. While all studies included an analysis of technical efficiency, consideration of allocative or cost efficiency or the determinants of productivity (e.g. technological change, skill mix) was rare.

CONCLUSIONS

The main limitations that future research on primary care efficiency should address relate to the definition of output. Current approaches to measure the impact on health and the multiple dimensions of output are not sufficient to represent the valued output of primary care. In light of the recent changes in the model of primary care delivery in England, future research should also investigate the impact of technological change on productivity and the scope for substitution across staff roles.

How do policy levers shape the quality of a national health system?

Poor quality of care may have a detrimental effect on access and take-up and can become a serious barrier to the universality of health services. This consideration is of particular interest in view of the fact that health systems in many countries must address a growing public-sector deficit and respond to increasing pressures due to COVID-19 and aging population, among other factors. In line with a rapidly emerging literature, we focus on patient satisfaction as a proxy for quality of health care. Drawing on rich longitudinal and cross-sectional data for Spain and multilevel estimation techniques, we show that in addition to individual level differences, policy levers (such as public health spending and the patient-doctor ratio, in particular) exert a considerable influence on the quality of a health care system. Our results suggest that policymakers seeking to enhance the quality of care should be cautious when compromising the level of health resources, and in particular, health personnel, as a response to economic downturns in a sector that traditionally had insufficient human resources in many countries, which have become even more evident in the light of the current health crisis. Additionally, we provide evidence that the increasing reliance on the private health sector may be indicative of inefficiencies in the public system and/or the existence of features of private insurance which are deemed important by patients.

COVID-19 in Brazilian cities: Impact of social determinants, coverage and quality of primary health care

Background

Brazil, as many other countries, have been heavily affected by COVID-19. This study aimed to analyze the impact of Primary health care and the family health strategy (FHS) coverage, the scores of the National Program for Improving Primary Care Access and Quality (PMAQ), and socioeconomic and social indicators in the number of COVID-19 cases in Brazilian largest cities.

Methods

This is an ecological study, carried out through the analysis of secondary data on the population of all Brazilian main cities, based on the analysis of a 26-week epidemiological epidemic week series by COVID-19. Statistical analysis was performed using Generalized Linear Models with an Autoregressive work correlation matrix.

Results

It was shown that greater PHC coverage and greater FHS coverage together with an above average PMAQ score are associated with slower dissemination and lower burden of COVID-19.

Conclusion

It is evident that cities with less social inequality and restrictions of social protection combined with social development have a milder pandemic scenario. It is necessary to act quickly on these conditions for COVID-19 dissemination by timely actions with high capillarity. Expanding access to PHC and social support strategies for the vulnerable are essential.

Primary health care and social isolation against COVID-19 in Northeastern Brazil: Ecological time-series study

Background

Brazil is witnessing a massive increase of corona virus disease (COVID-19). Its peculiar primary health care (PHC) system faces a burden due to the contagion occurring in the community environment. Then, the aim is to estimate the effect of the coverage of primary health care and social isolation on the evolution of confirmed cases and deaths by COVID-19, controlling sociodemographic, economic and health system aspects.

Methods

A time series design was designed with data on diagnosed cases of COVID-19 and their deaths as outcomes in the capital cities of the Northeast region of Brazil. Independent variables such as PHC coverage, hospital beds, social isolation, demographic density, Gini index and other indicators were analyzed. A Autoregressive Generalized Linear Model method was applied for model the relationship.

Results

We identified an exponential growth of cases (y = 0.0025^0.71x; p-value<0,001). However, there is a high variability in the occurrence of outcomes. PHC coverage≥75% (χ2 = 9.27; p-value = 0.01) and social isolation rate (χ2 = 365.99; p-value<0.001) proved to be mitigating factors for the spread of COVID-19 and its deaths. Capitals with hospital beds ≥ 3.2 per thousand inhabitants had fewer deaths (χ2 = 9.02; p-value = 0.003), but this was influenced by PHC coverage (χ2 = 30,87; p-value<0.001).

Conclusions

PHC mitigates the occurrence of Covid-19 and its deaths in a region of social vulnerability in Brazil together with social isolation. However, it is not known until when the system will withstand the overload in view of the low adhesion to social isolation, the lack of support and appropriate direction from the government to its population.

Measuring integrated care at the interface between primary care and secondary care: a scoping review

Purpose

In many healthcare systems, health policy has committed to delivering an integrated model of care to address the increasing burden of disease. The interface between primary and secondary care has been identified as a problem area. This paper aims to undertake a scoping review to gain a deeper understanding of the markers of integration across the primary–secondary interface.

Design/methodology/approach

A search was conducted of PubMed, SCOPUS, Cochrane Library and the grey literature for papers published in English using the framework described by Arksey and O'Malley. The search process was guided by the “Preferred Reporting Items for Systematic Reviews and Meta-Analyses” (PRISMA).

Findings

The initial database search identified 112 articles, which were screened by title and abstract. A total of 26 articles were selected for full-text review, after which nine articles were excluded as they were not relevant to the research question or the full text was not available. In total, 17 studies were included in the review. A range of study designs were identified including a systematic review (n = 3), mixed methods study (n = 5), qualitative (n = 6) and quantitative (n = 3). The included studies documented integration across the primary–secondary interface; integration measurement and factors affecting care coordination.

Originality/value

Many studies examine individual aspects of integration. However, this study is unique as it provides a comprehensive overview of the many perspectives and methodological approaches involved with evaluating integration within the primary–secondary care interface and primary care itself. Further research is required to establish valid reliable tools for measurement and implementation.

Forty years after Alma-Ata: primary health-care preparedness for chronic diseases in Mozambique, Nepal and Peru

Background

Four decades after the Alma-Ata Declaration, strengthening primary health care (PHC) remains a priority for health systems, especially in low- and middle-income countries (LMICs). Given the prominence of chronic diseases as a global health issue, PHC must include a wide range of components in order to provide adequate care.

Objective

To assess PHC preparedness to provide chronic care in Mozambique, Nepal and Peru, we used, as ‘tracer conditions’, diabetes, hypertension and a country-specific neglected tropical disease with chronic sequelae in each country.

Methods

By implementing a health system assessment, we collected quantitative and qualitative data from primary and secondary sources, including interviews of key informants at three health-system levels (macro, meso and micro). The World Health Organization’s health-system building blocks provided the basis for content analysis.

Results

In total, we conducted 227 interviews. Our findings show that the ambitious policies targeting specific diseases lack the support of technical, administrative and financial resources. Data collection systems do not allow the monitoring of individual patients or provide the health system with the information it requires. Patients receive limited disease-specific information. Clinical guidelines and training are either non-existent or not adapted to local contexts. Availability of medicines and diagnostic tests at the PHC level is an issue. Although medicines available through the public health care system are affordable, some essential medicines suffer shortages or are not available to PHC providers. This need, along with a lack of clear referral procedures and available transportation, generates financial issues for individuals and affects access to health care.

Conclusion

PHC in these LMICs is not well prepared to provide adequate care for chronic diseases. Improving PHC to attain universal health coverage requires strengthening the identified weaknesses across health-system building blocks.

Assessing primary care organization and performance: Literature synthesis and proposition of a consolidated framework

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.

A problem-oriented systems approach to primary care system development: development and initial testing of the problem-oriented primary care system development record

BACKGROUND

There is significant global policy interest related to enabling a data-driven approach for evidence-based primary care system development. This paper describes the development and initial testing of a prototype tool (the Problem-Oriented Primary Care System Development Record, or PCSDR) that enables a data-driven and contextualized approach to primary care system development.

METHODS

The PCSDR is an electronic record that enables the systematic input, classification, structuring, storage, processing and analysis of different types of data related to the structure, function and performance of primary care systems over time. Data inputted into the PCSDR was coded using the WHO's PHC-IMPACT framework and classification system. The PCSDR's functionalities were tested by using a case study of primary care system development in Tajikistan.

RESULTS

Tajikistan's case study demonstrated that the PCSDR is a potentially effective and conceptually-sound tool for the input, classification, structuring and storage of different data types from myriad sources. The PCSDR is therefore a basic data entry and data management system that enables query and analytics functions for health services research and evidence-based primary care system development functions.

CONCLUSIONS

The PCSDR is a data system that enables a contextualized approach to evidence-based primary care system development. It represents a coherent and effective synthesis of the fields of primary care system development and performance assessment. The PCSDR enables analysts to leverage primary care performance assessment frameworks for a broad range of functions related to health systems analysis, improvement and the development of learning health systems.

Creating performance intelligence for primary health care strengthening in Europe

BACKGROUND

Primary health care and its strengthening through performance measurement is essential for sustainably working towards universal health coverage. Existing performance frameworks and indicators to measure primary health care capture system functions like governance, financing and resourcing but to a lesser extent the function of services delivery and its heterogeneous nature. Moreover, most frameworks have weak links with routine information systems and national health priorities, especially in the context of high- and middle-income countries. This paper presents the development of a tool that responds to this context with the aim to create primary health care performance intelligence for the 53 countries of the WHO European Region.

METHODS

The work builds-off of an existing systematic review on primary care and draws on priorities of current European health policies and available (inter)national information systems. Its development included: (i) reviewing and classifying features of primary care; (ii) constructing a set of tracer conditions; and (iii) mapping existing indicators in the framework resulting from (i). The analysis was validated through a series of reviews: in-person meetings with country-nominated focal points and primary care experts; at-distance expert reviews; and, preliminary testing with country informants.

RESULTS

The resulting framework applies a performance continuum in the classical approach of structures-processes-outcomes spanning 6 domains - primary care structures, model of primary care, care contact, primary care outputs, health system outcomes, and health outcomes - that are further classified by 26 subdomains and 63 features of primary care. A care continuum was developed using a set of 12 tracer conditions. A total of 139 indicators were mapped to the classification, each with an identified data source to safeguard measurability. Individual indicator passports and a glossary of terms were developed to support the standardization of the findings.

CONCLUSION

The resulting framework and suite of indicators, coined the Primary Health Care Impact, Performance and Capacity Tool (PHC-IMPACT), has the potential to be applied in Europe, closing the gap on existing data collection, analysis and use of performance intelligence for decision-making towards primary health care strengthening.