Evidence map›Paper›PMID 25974093›Full record

ArticlePloS one2015

Cost-effectiveness of clinical decision support system in improving maternal health care in Ghana.

Maxwell Ayindenaba Dalaba, Patricia Akweongo, Raymond Akawire Aborigo, Happiness Pius Saronga, John Williams, Antje Blank, Jens Kaltschmidt, Rainer Sauerborn, Svetla Loukanova

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
4.0field-weighted citation impact, top 7% of its field
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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.

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  14. Clinical Decision Support Systems.Visceral medicine · 2021
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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

9 authors at 5 institutions in 3 countries.

Maxwell Ayindenaba DalabaUniversity of Heidelberg, Institute of Public Health, Heidelberg, Germany; Navrongo Health Research Centre, Navrongo, Ghana.
Patricia AkweongoUniversity of Ghana, School of Public Health, Accra, Ghana.
Raymond Akawire AborigoNavrongo Health Research Centre, Navrongo, Ghana.
Happiness Pius SarongaUniversity of Heidelberg, Institute of Public Health, Heidelberg, Germany; Muhimbili University of Health and Allied Sciences, Behavioural Sciences Department, School of Public Health and Social Sciences, Dar es Salaam, Tanzania.
John WilliamsNavrongo Health Research Centre, Navrongo, Ghana.
Antje BlankDepartment of Clinical Pharmacology and Pharmacoepidemiology, University Hospital of Heidelberg, Heidelberg, Germany.
Jens KaltschmidtDepartment of Clinical Pharmacology and Pharmacoepidemiology, University Hospital of Heidelberg, Heidelberg, Germany.
Rainer SauerbornUniversity of Heidelberg, Institute of Public Health, Heidelberg, Germany.
Svetla LoukanovaUniversity of Heidelberg, Institute of Public Health, Heidelberg, Germany.
Heidelberg University · DENavrongo Health Research Centre · GHMuhimbili University of Health and Allied Sciences · TZUniversity Hospital Heidelberg · DEUniversity of Ghana · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis paper investigated the cost-effectiveness of a computer-assisted Clinical Decision Support System (CDSS) in the identification of maternal complications in Ghana.

methodsA cost-effectiveness analysis was performed in a before- and after-intervention study. Analysis was conducted from the provider's perspective. The intervention area was the Kassena- Nankana district where computer-assisted CDSS was used by midwives in maternal care in six selected health centres. Six selected health centers in the Builsa district served as the non-intervention group, where the normal Ghana Health Service activities were being carried out.

resultsComputer-assisted CDSS increased the detection of pregnancy complications during antenatal care (ANC) in the intervention health centres (before-intervention = 9 /1,000 ANC attendance; after-intervention = 12/1,000 ANC attendance; P-value = 0.010). In the intervention health centres, there was a decrease in the number of complications during labour by 1.1%, though the difference was not statistically significant (before-intervention =107/1,000 labour clients; after-intervention = 96/1,000 labour clients; P-value = 0.305). Also, at the intervention health centres, the average cost per pregnancy complication detected during ANC (cost -effectiveness ratio) decreased from US$17,017.58 (before-intervention) to US$15,207.5 (after-intervention). Incremental cost -effectiveness ratio (ICER) was estimated at US$1,142. Considering only additional costs (cost of computer-assisted CDSS), cost per pregnancy complication detected was US$285.

conclusionsComputer -assisted CDSS has the potential to identify complications during pregnancy and marginal reduction in labour complications. Implementing computer-assisted CDSS is more costly but more effective in the detection of pregnancy complications compared to routine maternal care, hence making the decision to implement CDSS very complex. Policy makers should however be guided by whether the additional benefit is worth the additional cost.

Indexed as

Cost-Benefit AnalysisDecision Support Systems, ClinicalFemaleGhanaHumansLabor, ObstetricMaternal HealthMaternal Health ServicesPregnancyPregnancy Complications

Identifiers

PMID25974093
PMCPMC4431831
OpenAlexW296878296

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.