Evidence map›Paper›PMID 38110946›Full record

Observational studyBMC medical informatics and decision making2023

Acceptability and use of the electronic community health information system and its determinants among health extension workers in Ethiopia: a retrospective cross-sectional observational study.

Tariku Nigatu Bogale, Herman Willems, Loko Abraham Bongassie, Yemariam Eyob, Chaluma Kumela Mengesha, Bantalem Yeshanew Yihun, Mesud Mohammed, Naod Wendrad, Gemechis Melkamu, Dawit Wolde Daka and 2 more

Abstract readObservational Study
In one paragraph

Observational study in BMC medical informatics and decision making, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
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

12 authors.

Tariku Nigatu BogaleJohn Snow, Inc. (JSI), Addis Ababa, Ethiopia.
Herman WillemsJohn Snow, Inc. (JSI), Boston, USA.
Loko Abraham BongassieJohn Snow, Inc. (JSI), Addis Ababa, Ethiopia.
Yemariam EyobEmory University, Atlanta, USA.
Chaluma Kumela MengeshaJohn Snow, Inc. (JSI), Addis Ababa, Ethiopia.
Bantalem Yeshanew YihunJohn Snow, Inc. (JSI), Addis Ababa, Ethiopia.
Mesud MohammedMinistry of Health, Addis Ababa, Ethiopia.
Naod WendradMinistry of Health, Addis Ababa, Ethiopia.
Gemechis MelkamuMinistry of Health, Addis Ababa, Ethiopia.
Dawit Wolde DakaJimma University, Jimma, Ethiopia.
Selamawit MeressaJohn Snow, Inc. (JSI), Addis Ababa, Ethiopia.
Tadesse Alemu BekeleJohn Snow, Inc. (JSI), Addis Ababa, Ethiopia. tadesse_alemu@et.jsi.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe electronic community health information system has been increasingly developed and deployed to quantify and support quality health service delivery by community health workers in Ethiopia. However, the success and failure of the electronic community health information system depend on the acceptability and use by its users. This study assessed the acceptability and use of the electronic community health information system and its determinants among health extension workers in Ethiopia.

methodsA retrospective cross-sectional observational study was conducted among 587 randomly selected health extension workers from six regions of Ethiopia. The Revised Technology Acceptance Model was used as a theoretical framework for the study. Descriptive statistics, structural equation modeling, and principal component analysis techniques were used to analyze the data. For all significance tests, multiple comparison adjustments were made using the Bonferroni Correction Method.

resultsThere was near universal acceptance of the electronic community health information system, ranging from 94.4 to 97.4% among health extension workers. However, actual use of the system was considerably lower, at 50%. Perceived usefulness of the electronic community health information system had a direct and positive effect on acceptability (β3 = 0.415, p < 0.001). Perceived ease of use had both direct and indirect positive effects on electronic community health information system acceptability (β2 = 0.340, p < 0.001 and β1*β3 = 0.289, p < 0.001, respectively), while acceptability had a direct and positive effect on the use of the electronic community health information system (β3 = 0.297, p < 0.001).

conclusionsDespite the very high acceptability of the electronic community health information system among health extension workers, actual use of the system is considerably lower. Hence, an integrated and coordinated approach is required to close the acceptance-use gap.

Indexed as

Health Information SystemsCommunity Health WorkersCross-Sectional StudiesDelivery of Health CareEthiopiaHumansRetrospective StudiesAcceptabilityDeterminantElectronic community health information systemHealth extension workerUse

Identifiers

PMID38110946
PMCPMC10729516

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.