Understanding the challenges associated with the use of data from routine health information systems in low- and middle-income countries : A systematic review

BACKGROUND: Routine health information systems (RHISs) are crucial to informing decision-making at all levels of the health system. However, the use of RHIS data in low- and middle-income countries (LMICs) is limited due to concerns regarding quality, accuracy, timeliness, completeness and representativeness.

OBJECTIVE: This study systematically reviewed technical, behavioural and organisational/environmental challenges that hinder the use of RHIS data in LMICs and strategies implemented to overcome these challenges.

METHOD: Four electronic databases were searched for studies describing challenges associated with the use of RHIS data and/or strategies implemented to circumvent these challenges in LMICs. Identified articles were screened against inclusion and exclusion criteria by two independent reviewers.

RESULTS: Sixty studies met the inclusion criteria and were included in this review, 55 of which described challenges in using RHIS data and 20 of which focused on strategies to address these challenges. Identified challenges and strategies were organised by their technical, behavioural and organisational/environmental determinants and by the core steps of the data process. Organisational/environmental challenges were the most commonly reported barriers to data use, while technical challenges were the most commonly addressed with strategies.

CONCLUSION: Despite the known benefits of RHIS data for health system strengthening, numerous challenges continue to impede their use in practice.

IMPLICATIONS: Additional research is needed to identify effective strategies for addressing the determinants of RHIS use, particularly given the disconnect identified between the type of challenge most commonly described in the literature and the type of challenge most commonly targeted for interventions.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:51

Enthalten in:

Health information management : journal of the Health Information Management Association of Australia - 51(2022), 3 vom: 03. Sept., Seite 135-148

Sprache:

Englisch

Beteiligte Personen:

Hoxha, Klesta [VerfasserIn]
Hung, Yuen W [VerfasserIn]
Irwin, Bridget R [VerfasserIn]
Grépin, Karen A [VerfasserIn]

Links:

Volltext

Themen:

Data science
Developing countries
Health information systems
Journal Article
Patient generated health data
Public health informatics
Public reporting of healthcare data
Systematic Review
Systematic review

Anmerkungen:

Date Completed 07.09.2022

Date Revised 07.09.2022

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1177/1833358320928729

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM311804195