Evidence map›Paper›PMID 35460301›Full record

ReviewThe International journal of health planning and management2022

Framework synthesis to inform the ideation and design of a paper-based health information system (PHISICC).

Meike-Kathrin Zuske, Christian Auer, Sandy Oliver, John Eyers, Xavier Bosch-Capblanch

Abstract readReview
In one paragraph

Review in The International journal of health planning and management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. 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

5 authors.

Meike-Kathrin ZuskeSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Christian AuerSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Sandy OliverUniversity College London, EPPI-Centre, Social Research Institute, London, UK.
John EyersIndependent Consultant & Senior Research Fellow, 3ie, c/o LIDC, London, UK.
Xavier Bosch-CapblanchSwiss Tropical and Public Health Institute, Allschwil, Switzerland.ORCID https://orcid.org/0000-0002-4469-0395

Funding

Bill and Melinda Gates Foundation INV-010193
6 · The paper itself

Abstract

backgroundHealth information systems (HIS) are meant to support decision-making at all levels of the system, including frontline health workers. In field studies in Côte d'Ivoire, Mozambique and Nigeria, we observed health workers' interactions with the HIS and identified twelve decision-making components of HIS. The objective of this framework synthesis is to portray these components in HIS research, in order to inform the ideation of a paper-based HIS intervention (PHISICC).

methodsWe searched studies in the Cochrane Central Register of Controlled Trials (CENTRAL), Embase, Epistemonikos, Medline, in-Process on the Ovid platform, OpenGrey, PDQ  Evidence ("pretty darnd quick" Evidence), the World Health Organization (WHO) Global Health Library and included studies focussing on HIS interventions, data quality, information support tools and data use for decision-making in the context of the governmental health care sector. We assessed the methodological quality of studies using the Critical Appraisal Skills Programme tool. We synthesised the findings based on the decision-making components of HIS and thematic areas.

resultsThe search identified 6784 studies; 50 were included. Most of the 50 studies had quality concerns. All studies included at least one of the decision-making components: the most prominent were the technical aspects of 'recording' and 'reporting'. Data use for decision-making was much less represented.

conclusionHIS research focuses on the more technical aspects of HIS. Further research on HIS, given the strong push towards HIS digitalisation, should consider putting at the centre the human experience of decision-making and data use, in order to make HIS relevant for quality of care.

Indexed as

Health Information SystemsHealth PersonnelHumansNigeriadecision-makingframeworkhealth information systemprimary health caresystematic review

Identifiers

PMID35460301
PMCPMC9544999

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.