Evidence map›Paper›PMID 37770887›Full record

ArticleBMC public health2023

Integration measurement and its applications in low- and middle-income country health systems: a scoping review.

Rachel Neill, Nukhba Zia, Lamisa Ashraf, Zainab Khan, Wesley Pryor, Abdulgafoor M Bachani

Abstract readScoping Review
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rachel NeillDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins International Injury Research Unit, Health Systems Program, 615 N. Wolfe Street Suite E8527, Baltimore, MD, 21205, USA. Rneill3@jhu.edu.ORCID 0000-0002-1110-5479
Nukhba ZiaDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins International Injury Research Unit, Health Systems Program, 615 N. Wolfe Street Suite E8527, Baltimore, MD, 21205, USA.ORCID 0000-0002-2521-6049
Lamisa AshrafDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins International Injury Research Unit, Health Systems Program, 615 N. Wolfe Street Suite E8527, Baltimore, MD, 21205, USA.ORCID 0000-0002-3042-2728
Zainab KhanDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins International Injury Research Unit, Health Systems Program, 615 N. Wolfe Street Suite E8527, Baltimore, MD, 21205, USA.ORCID 0000-0001-7734-6497
Wesley PryorNossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, 3010, Australia.ORCID 0000-0003-2022-1727
Abdulgafoor M BachaniDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins International Injury Research Unit, Health Systems Program, 615 N. Wolfe Street Suite E8527, Baltimore, MD, 21205, USA.ORCID 0000-0003-4455-9044

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite growing interest in and commitment to integration, or integrated care, the concept is ill-defined and the resulting evidence base fragmented, particularly in low- and middle-income countries (LMICs). Underlying this challenge is a lack of coherent approaches to measure the extent of integration and how this influences desired outcomes. The aim of this scoping review is to identify measurement approaches for integration in LMICs and map them for future use.

methodsArksey and O'Malley's framework for scoping reviews was followed. We conducted a systematic search of peer-reviewed literature measuring integration in LMICs across three databases and screened identified papers by predetermined inclusion and exclusion criteria. A modified version of the Rainbow Model for Integrated Care guided charting and analysis of the data.

resultsWe included 99 studies. Studies were concentrated in the Africa region and most frequently focused on the integration of HIV care with other services. A range of definitions and methods were identified, with no single approach for the measurement of integration dominating the literature. Measurement of clinical integration was the most common, with indicators focused on measuring receipt of two or more services provided at a single point of time. Organizational and professional integration indicators were focused on inter- and intra-organizational communication, collaboration, coordination, and continuity of care, while functional integration measured common information systems or patient records. Gaps were identified in measuring systems and normative integration. Few tools were validated or publicly available for future use.

conclusionWe identified a wide range of recent approaches used to measure integration in LMICs. Our findings underscore continued challenges with lack of conceptual cohesion and fragmentation which limits how integration is understood in practice.

Indexed as

Government ProgramsMedical AssistanceAfricaCommunicationDeveloping CountriesHumansHealth systemsIntegrated careLow- and middle-income countryMeasurementScoping review

Identifiers

PMID37770887
PMCPMC10537146

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.