Literature DB >> 29898604

The District Health Information System (DHIS2): A literature review and meta-synthesis of its strengths and operational challenges based on the experiences of 11 countries.

Reza Dehnavieh1, AliAkbar Haghdoost2, Ardeshir Khosravi3, Fahime Hoseinabadi4, Hamed Rahimi1, Atousa Poursheikhali2, Nahid Khajehpour1, Zahra Khajeh5, Nadia Mirshekari4, Marziyeh Hasani6, Samera Radmerikhi5, Hajar Haghighi6, Mohammad Hossain Mehrolhassani1, Elaheh Kazemi3, Saeide Aghamohamadi3.   

Abstract

BACKGROUND: Health information systems offer many potential benefits for healthcare, including financial benefits and for improving the quality of patient care. The purpose of District Health Information Systems (DHIS) is to document data that are routinely collected in all public health facilities in a country using the system.
OBJECTIVE: The aim of this study was to examine the strengths and operational challenges of DHIS2, with a goal to enable decision makers in different counties to more accurately evaluate the outcomes of introducing DHIS2 into their particular country.
METHOD: A review of the literature combined with the method of meta-synthesis was used to source information and interpret results relating to the strengths and operational challenges of DHIS2. Databases (Embase, PubMed, Scopus and Google Scholar) were searched for documents related to strengths and operational challenges of DHIS2, with no time limit up to 8 April 2017. The review and evaluation of selected studies was conducted in three stages: title, abstract and full text. Each of the selected studies was reviewed carefully and key concepts extracted. These key concepts were divided into two categories of strengths and operational challenges of DHIS2. Then, each category was grouped based on conceptual similarity to achieve the main themes and sub-themes. Content analysis was used to analyse extracted data.
RESULTS: Of 766 identified citations, 20 studies from 11 countries were included and analysed in this study. Identified strengths in the DHIS were represented in seven themes (with 21 categories): technical features of software, proper management of data, application flexibility, networking and increasing the satisfaction of stakeholders, development of data management, increasing access to information and economic benefits. Operational challenges were identified and captured in 11 themes (with 18 categories): funds; appropriate communication infrastructure; the need for the existence of appropriate data; political, cultural, social and structural infrastructure; manpower; senior managers; training; using academic potentials; definition and standardising the deployment processes; neglect to application of criteria and clinical guidelines in the use of system; data security; stakeholder communications challenges and the necessity to establish a pilot system.
CONCLUSION: This study highlighted specific strengths in the technical and functional aspects of DHIS2 and also drew attention to particular challenges and concerns. These results provide a sound evidence base for decision makers and policymakers to enable them to make more accurate decisions about whether or not to use the DHIS2 in the health system of their country.

Entities:  

Keywords:  District Health Information System; content analysis; health information system; health information technology; information technology; meta-synthesis; qualitative research

Mesh:

Year:  2018        PMID: 29898604     DOI: 10.1177/1833358318777713

Source DB:  PubMed          Journal:  Health Inf Manag        ISSN: 1833-3583            Impact factor:   3.185


  44 in total

1.  Challenges to the delivery of clinical diabetes services in Ghana created by the COVID-19 pandemic.

Authors:  Eunice Twumwaa Tagoe; Justice Nonvignon; Robert van Der Meer; Itamar Megiddo; Brian Godman
Journal:  J Health Serv Res Policy       Date:  2022-07-04

2.  Measuring retention in HIV care: the impact of data sources and definitions using routine data.

Authors:  Tamsin K Phillips; Catherine Orrell; Kirsty Brittain; Allison Zerbe; Elaine J Abrams; Landon Myer
Journal:  AIDS       Date:  2020-04-01       Impact factor: 4.632

3.  Digital ≠ paperless: novel interfaces needed to address global health challenges.

Authors:  Pratap Kumar; Stephen M Sammut; Jason J Madan; Sherri Bucher; Meghan Bruce Kumar
Journal:  BMJ Glob Health       Date:  2021-04

4.  An Eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in Khyber-Pakhtunkhwa, Pakistan.

Authors:  Sami Ullah; Hanita Daud; Sarat C Dass; Hadi Fanaee-T; Alamgir Khalil
Journal:  PLoS One       Date:  2018-06-19       Impact factor: 3.240

5.  Perceptions and experiences with district health information system software to collect and utilize health data in Bangladesh: a qualitative exploratory study.

Authors:  Tahmina Begum; Shaan Muberra Khan; Bridgit Adamou; Jannatul Ferdous; Muhammad Masud Parvez; Mohammad Saiful Islam; Feroza Akhter Kumkum; Aminur Rahman; Iqbal Anwar
Journal:  BMC Health Serv Res       Date:  2020-05-26       Impact factor: 2.655

6.  A realist systematic review of evidence from low- and middle-income countries of interventions to improve immunization data use.

Authors:  Allison L Osterman; Jessica C Shearer; Nicole A Salisbury
Journal:  BMC Health Serv Res       Date:  2021-07-08       Impact factor: 2.655

Review 7.  Implementing the routine immunisation data module and dashboard of DHIS2 in Nigeria, 2014-2019.

Authors:  Faisal Shuaib; Abdullahi Bulama Garba; Emmanuel Meribole; Samuel Obasi; Adamu Sule; Chimeremma Nnadi; Ndadilnasiya Endie Waziri; Omotayo Bolu; Patrick M Nguku; Margherita Ghiselli; Oluwasegun Joel Adegoke; Sara Jacenko; Ester Mungure; Saheed Gidado; Idongesit Wilson; Eric Wiesen; Hashim Elmousaad; Peter Bloland; Louie Rosencrans; Frank Mahoney; Adam MacNeil; Richard Franka; John Vertefeuille
Journal:  BMJ Glob Health       Date:  2020-07

Review 8.  Lessons learned from the development and implementation of an electronic paediatric emergency and acute care database in Lilongwe, Malawi.

Authors:  Emily J Ciccone; Alyssa E Tilly; Msandeni Chiume; Yamikani Mgusha; Michelle Eckerle; Howard Namuku; Heather L Crouse; Treasure B Mkaliainga; Jeff A Robison; Charles J Schubert; Tisungane Mvalo; Elizabeth Fitzgerald
Journal:  BMJ Glob Health       Date:  2020-07

9.  Data Centre Profile: The Provincial Health Data Centre of the Western Cape Province, South Africa.

Authors:  A Boulle; A Heekes; N Tiffin; M Smith; T Mutemaringa; N Zinyakatira; F Phelanyane; C Pienaar; K Buddiga; E Coetzee; R van Rooyen; R Dyers; N Fredericks; A Loff; L Shand; M Moodley; I de Vega; K Vallabhjee
Journal:  Int J Popul Data Sci       Date:  2019-11-20

10.  The PRECISE (PREgnancy Care Integrating translational Science, Everywhere) database: open-access data collection in maternal and newborn health.

Authors:  Laura A Magee; Amber Strang; Larry Li; Domena Tu; Warancha Tumtaweetikul; Rachel Craik; Marina Daniele; Angela Koech Etyang; Umberto D'Alessandro; Ofordile Ogochukwu; Anna Roca; Esperança Sevene; Paulo Chin; Corssino Tchavana; Marleen Temmerman; Peter von Dadelszen
Journal:  Reprod Health       Date:  2020-04-30       Impact factor: 3.223

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