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

Dehnavieh, Reza; Haghdoost, Ali-Akbar; Khosravi, Ardeshir; Hoseinabadi, F; Rahimi, Hamed; Poursheikhali, Atousa; Khajehpour, N; Khajeh, Zahra; Mirshekari, Nadia; Hasani, Marziyeh; Radmerikhi, Samera; Haghighi, Hajar; Mehrolhassani, Mohammad Hossein; Kazemi, Elahe; Aghamohamadi, Saeide

doi:10.1177/1833358318777713

Cited by 170 publications

(227 citation statements)

References 11 publications

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“…DHIS2 allows facilities and administrative areas to report health indicators allowing for collection and aggregation of health data, including cases of PE/E. Although there are certain valid concerns regarding the quality of DHIS2 data, overall, it presents an opportunity for analysis of routinely collected health surveillance data (Dehnavieh et al 2019). Routinely collected data from health facilities is relatively inexpensive but relies on people and institutions to enter data and ensure its completeness, consistency, and timeliness.…”

Section: Opportunities For Surveillance Datamentioning

confidence: 99%

“…Health surveillance data can be utilized in many ways, including to document or track progress towards public health goals, monitor the epidemiology and magnitude of a certain disease, serve as an early warning system to detect impending public health emergencies, and potentially to inform the targeting of interventions (Dehnavieh et al 2019). Health surveillance data and remotely sensed data could be effective tools to explore health and environment associations, such as between salinity and PE/E, especially if they can be routinely linked to allow for real-time detection of hotspots to inform program targeting.…”

Section: Opportunities For Surveillance Datamentioning

confidence: 99%

See 1 more Smart Citation

Spatio-temporal patterns of pre-eclampsia and eclampsia in relation to drinking water salinity at the district level in Bangladesh from 2016 to 2018

Pinchoff

Shamsudduha

Hossain³

et al. 2019

Popul Environ

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This analysis examines whether salinity in drinking water is associated with preeclampsia and eclampsia (PE/E), a leading cause of maternal morbidity and mortality. Bangladesh's national health information system data were extracted at the district level (n = 64) to assess PE/E rates, and these were overlaid with three environmental measures approximating drinking water salinity, remotely sensed low-elevation coastal zone (LECZ), monthly rainfall data, and electrical conductivity of groundwater (i.e., water salinity). Results from a negative binomial fixed effects model suggest PE/E rates are higher with less rainfall (dry season), lower population density, and that district level rates of PE/E increase with higher groundwater salinity and in the high risk LECZ category closest to the coast. Results suggest that drinking water salinity may be associated with PE/E and that using national health surveillance data can improve understanding of this association. This approach can potentially be leveraged in the future to inform targeted interventions to high risk regions and times.

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Section: Opportunities For Surveillance Datamentioning

confidence: 99%

Section: Opportunities For Surveillance Datamentioning

confidence: 99%

Spatio-temporal patterns of pre-eclampsia and eclampsia in relation to drinking water salinity at the district level in Bangladesh from 2016 to 2018

Pinchoff

Shamsudduha

Hossain³

et al. 2019

Popul Environ

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“…Hence, it cannot handle the challenges of a Department like Surgery The rationale for DHMIS has been that the availability of operational, effective and efficient health management information systems is an essential component of the required district management capacity. The logic is that effective and efficient HMIS will provide district health managers with the information required to make effective strategic decisions that support district performance and sustainability in these decentralized health systems [23]. This system is mainly focused on the management information part.…”

Section: ) Implementation Of Records Systems In Hospitalsmentioning

confidence: 99%

Challenges of Medical Records Interoperability in Developing Countries: A Case Study of the University Teaching Hospital in Zambia

Leza¹,

Phiri²

2019

ijacsa

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The University Teaching Hospital (UTH) is an integral national referral Hospital made up of eight departments. Standardized systems and semantic interoperability is key for successful flow of patient information from one department to another and from section to section within a department. Lack of a SNOMED CT E.H.R System in surgery departments causes inefficient scheduling of surgical procedures, insufficient and inaccurate pertinent patient historical information, misconceptions and error arising from ambiguities in terminology usage. The result is unhealthy clinician working environment leading to high death rates among patients. Baseline Survey was conducted using questionnaire to establish the major drawbacks of the current manual system in use at the department. Record inspection was done followed by roundtable discussion with stakeholder. Convenient sampling was used, out of 40 respondents 72.5% had computers in their section, 27.5% did not have, 60% were using partial electronic records and paper based, 37.5% were using manual system, 2.5% reported that they were using electronic record system. The result reviewed more than 50% of the medical practitioner ranging from nurses to surgeon reported to be dissatisfied with the current system. In addition, record inspection was conducted by going to each section of the department to understand the business process and the form and format of data storage; this exercise reviewed redundancy in the capture, storage and management of patient records due to the fact that in every section where a patient pass, while undergoing diagnosis procedure, basic details are collected afresh for the same patient. This situation has brought about unnecessary duplication of work. The other drawback is the storage of patient records arising from lack of storage space. Record which are ten years old are destroyed to create space for new ones. This destruction of records robs researchers of the much-needed data for trends analysis and patient disease history. Because of these draw backs, it is very apparent that a standardized E.H.R is implemented.

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“…While early RHISs were established using paper-based health facility reports, newer web-based systems have been adopted in many LMICs over the last decade 13,14 . The most common of these is the District Health Information System 2 (DHIS 2) platform, which is used as the foundation for the national health management information systems (HMIS) in 46 countries and piloted in another 21 countries 15 . Studies have shown that the implementation of newer information and communication technology systems, along with supportive feedback mechanisms to encourage their use in routine practice, can lead to substantial improvements in RHIS reporting and data quality 5,13,16,17 .…”

Section: Introductionmentioning

confidence: 99%

Using Routine Health Information Data for Research in Low- and Middle-Income Countries: A Systematic Review

Hung

Hoxha

Irwin

et al. 2020

Preprint

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Background : Routine health information systems (RHISs) support resource allocation and management decisions at all levels of the health system, as well as strategy development and policy-making in many low- and middle-income countries (LMICs). Although RHIS data represent a rich source of information, such data are currently underused for research purposes, largely due to concerns over data quality. Given that substantial investments have been made in strengthening RHISs in LMICs in recent years and that there is a growing demand for more real-time data from researchers, this systematic review builds upon the existing literature to summarize the extent to which RHIS data have been used in peer-reviewed research publications. Methods : Using terms ‘routine health information system’, ‘health information system’, or ‘health management information system’ and a list of LMICs, four electronic peer-review literature databases were searched from inception to February 20 2019: PubMed, Scopus, EMBASE, and EconLit. Articles were assessed for inclusion based on pre-determined eligibility criteria and study characteristics were extracted from included articles using a piloted data extraction form. Results : We identified 132 studies that met our inclusion criteria, originating in 37 different countries. Overall, the majority of the studies identified were from Sub-Saharan Africa and were published within the last five years. Malaria and maternal health were the most commonly studied health conditions, although a number of other health conditions and health services were also explored. Conclusions : Our study identified an increasing use of RHIS data for research purposes, with many studies applying rigorous study designs and analytic methods to advance program evaluation, monitoring and assessing services, and epidemiological studies in LMICs. RHIS data represent an underused source of data and should be made more available and further embraced by the research community in LMIC health systems.

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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

Cited by 170 publications

References 11 publications

Spatio-temporal patterns of pre-eclampsia and eclampsia in relation to drinking water salinity at the district level in Bangladesh from 2016 to 2018

Spatio-temporal patterns of pre-eclampsia and eclampsia in relation to drinking water salinity at the district level in Bangladesh from 2016 to 2018

Challenges of Medical Records Interoperability in Developing Countries: A Case Study of the University Teaching Hospital in Zambia

Using Routine Health Information Data for Research in Low- and Middle-Income Countries: A Systematic Review

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