Evidence map›Paper›PMID 38988733›Full record

SynthesisFrontiers in digital health2024

Effect of electronic records on mortality among patients in hospital and primary healthcare settings: a systematic review and meta-analyses.

Tariku Nigatu Bogale, Lemma Derseh, Loko Abraham, Herman Willems, Jonathan Metzger, Biruhtesfa Abere, Mesfin Tilaye, Tewodros Hailegeberel, Tadesse Alemu Bekele

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

9 authors.

Tariku Nigatu BogaleJohn Snow Research and Training Institute, Inc. (JSI), Addis Ababa, Ethiopia.
Lemma DersehUniversity of Gondar, Gondar, Ethiopia.
Loko AbrahamJohn Snow Research and Training Institute, Inc. (JSI), Addis Ababa, Ethiopia.
Herman WillemsJohn Snow Research and Training Institute, Inc. (JSI), Boston, MA, United States.
Jonathan MetzgerJohn Snow Research and Training Institute, Inc. (JSI), Washington, DC, United States.
Biruhtesfa AbereJohn Snow Research and Training Institute, Inc. (JSI), Addis Ababa, Ethiopia.
Mesfin TilayeUnited State Agency for International Development, Addis Ababa, Ethiopia.
Tewodros HailegeberelUnited State Agency for International Development, Addis Ababa, Ethiopia.
Tadesse Alemu BekeleJohn Snow Research and Training Institute, Inc. (JSI), Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Electronic medical records or electronic health records, collectively called electronic records, have significantly transformed the healthcare system and service provision in our world. Despite a number of primary studies on the subject, reports are inconsistent and contradictory about the effects of electronic records on mortality. Therefore, this review examined the effect of electronic records on mortality. Methods: The review followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses 2020 guideline. Six databases: PubMed, EMBASE, Scopus, CINAHL, Cochrane Library, and Google Scholar, were searched from February 20 to October 25, 2023. Studies that assessed the effect of electronic records on mortality and were published between 1998 and 2022 were included. Joanna Briggs Institute quality appraisal tool was used to assess the methodological quality of the studies. Narrative synthesis was performed to identify patterns across studies. Meta-analysis was conducted using fixed effect and random-effects models to estimate the pooled effect of electronic records on mortality. Funnel plot and Egger's regression test were used to assess for publication bias. Results: Fifty-four papers were found eligible for the systematic review, of which 42 were included in the meta-analyses. Of the 32 studies that assessed the effect of electronic health record on mortality, eight (25.00%) reported a statistically significant reduction in mortality, 22 (68.75%) did not show a statistically significant difference, and two (6.25%) studies reported an increased risk of mortality. Similarly, among the 22 studies that determined the effect of electronic medical record on mortality, 12 (54.55%) reported a statistically significant reduction in mortality, and ten (45.45%) studies didn't show a statistically significant difference. The fixed effect and random effects on mortality were OR = 0.95 (95% CI: 0.93-0.97) and OR = 0.94 (95% CI: 0.89-0.99), respectively. The associated I-squared was 61.5%. Statistical tests indicated that there was no significant publication bias among the studies included in the meta-analysis. Conclusion: Despite some heterogeneity among the studies, the review indicated that the implementation of electronic records in inpatient, specialized and intensive care units, and primary healthcare facilities seems to result in a statistically significant reduction in mortality. Maturity level and specific features may have played important roles. Systematic Review Registration: PROSPERO (CRD42023437257).

Indexed as

effectelectronic health recordselectronic medical recordselectronic recordsmeta-analysesmortalitysystematic review

Identifiers

PMID38988733
PMCPMC11233798

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.