Erratum to “Predictors of health facility readiness for diabetes service delivery in low- and middle-income countries: The case of Bangladesh” [Diabet. Res. Clin. Pract. 169 (2020) 108417]

Abstract BackgroundA simple indicator of technical efficiency, such as productivity of health workers, measured using routine health facility data, can be a practical approach that can inform initiatives to improve efficiency in low and middle-income countries. This paper presents a proof of concept of using routine information from primary healthcare (PHC) facilities to measure health workers’ productivity and its application in three regions of Ethiopia.MethodsIn four steps, we constructed a productivity measure of the health workforce of Health Centers (HCs) and demonstrated its practical application: (1) developing an analytical dataset using secondary data from health management information systems (HMIS) and human resource information system (HRIS); (2) principal component analysis and factor analysis to estimate a summary measure of output from five indicators (annual service volume of outpatient visits, family planning, first antenatal care visits, facility-based deliveries by skilled birth attendance, and children [<1 year] with three pentavalent vaccines); (3) calculating a productivity score by combining the summary measure and the total number of health workers (input); and (4) implementing regression models to identify the determinant of productivity and ranking HCs based on their adjusted productivity score. ResultsWe developed an analytical dataset of 1,128 HCs; however, significant missing values and outliers were reported in the data. The principal component and factor scores developed from the five output measures were highly consistent (correlation coefficient = 0.98). We considered the factor score as the summary measure of outputs for estimating productivity. A very weak association was observed between the summary measure of output and the total number of staff. The result also highlighted a large variability in productivity across similar health facilities in Ethiopia, represented by the significant dispersion in summary measure of output occurring at similar levels of the health workers. ConclusionsWe successfully demonstrated the analytical steps to estimate health worker productivity and its practical application using HMIS and HRIS. The methodology presented in this study can be readily applied in low and middle-income countries using widely available data – such as DHIS2 – that will allow further explorations to understand the causes of technical inefficiencies in the health system.

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Systematic review of early abortion services in low- and middle-income country primary care: potential for reverse innovation and application in the UK context

Globalization and Health ◽

10.1186/s12992-020-00613-z ◽

2020 ◽

Vol 16 (1) ◽

Author(s):

Jacy Zhou ◽

Rebecca Blaylock ◽

Matthew Harris

Keyword(s):

Primary Care ◽

Service Delivery ◽

Middle Income ◽

Middle Income Countries ◽

Service Delivery Models ◽

Primary Care Settings ◽

The Uk ◽

Delivery Models ◽

Low And Middle Income

Abstract Background In the UK, according to the 1967 Abortion Act, all abortions must be approved by two doctors, reported to the Department of Health and Social Care (DHSC), and be performed by doctors within licensed premises. Removing abortion from the criminal framework could permit new service delivery models. We explore service delivery models in primary care settings that can improve accessibility without negatively impacting the safety and efficiency of abortion services. Novel service delivery models are common in low-and-middle income countries (LMICs) due to resource constraints, and services are sometimes provided by trained, mid-level providers via “task-shifting”. The aim of this study is to explore the quality of early abortion services provided in primary care of LMICs and explore the potential benefits of extending their application to the UK context. Methods We searched MEDLINE, EMBASE, Global Health, Maternity and Infant Care, CINAHL, and HMIC for studies published from September 1994 to February 2020, with search terms “nurses”, “midwives”, “general physicians”, “early medical/surgical abortion”. We included studies that examined the quality of abortion care in primary care settings of low-and-middle-income countries (LMICs), and excluded studies in countries where abortion is illegal, and those of services provided by independent NGOs. We conducted a thematic analysis and narrative synthesis to identify indicators of quality care at structural, process and outcome levels of the Donabedian model. Results A total of 21 indicators under 8 subthemes were identified to examine the quality of service provision: law and policy, infrastructure, technical competency, information provision, client-provider interactions, ancillary services, complete abortions, client satisfaction. Our analysis suggests that structural, process and outcome indicators follow a mediation pathway of the Donabedian model. This review showed that providing early medical abortion in primary care services is safe and feasible and “task-shifting” to mid-level providers can effectively replace doctors in providing abortion. Conclusion The way services are organised in LMICs, using a task-shifted and decentralised model, results in high quality services that should be considered for adoption in the UK. Collaboration with professional medical bodies and governmental departments is necessary to expand services from secondary to primary care.

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