Evidence map›Paper›PMID 39164647›Full record

ArticleBMC health services research2024

Adherence to integrated management of childhood illness (IMCI) guidelines by community health workers in Kano State, Nigeria through use of a clinical decision support (CDS) platform.

Megan McLaughlin, Loveth Metiboba, Aisha Giwa, Olufunke Femi-Ojo, Nirmal Ravi, Nasir Mamoud Mahmoud, Ezra Mount-Finette, Ollin Langle-Chimal, Dina Abbas, Barry Finette

Abstract read
In one paragraph

Article in BMC health services research, 2024. 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. Article
  2. Observational
  3. Article
  4. Observational
  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

10 authors.

Megan McLaughlinTHINKMD, 50 Lakeside Ave, Burlington, VT, 05401, USA. mmclaughlin@thinkmd.org.
Loveth MetibobaeHealth Africa (eHA), 4-6 Independence Road, Kano, Nigeria.
Aisha GiwaeHealth Africa (eHA), 4-6 Independence Road, Kano, Nigeria.
Olufunke Femi-OjoeHealth Africa (eHA), 4-6 Independence Road, Kano, Nigeria.
Nirmal RavieHealth Africa (eHA), 4-6 Independence Road, Kano, Nigeria.
Nasir Mamoud MahmoudKano State Primary Healthcare Board Agency, Kano, Nigeria.
Ezra Mount-FinetteTHINKMD, 50 Lakeside Ave, Burlington, VT, 05401, USA.
Ollin Langle-ChimalTHINKMD, 50 Lakeside Ave, Burlington, VT, 05401, USA.
Dina AbbasTHINKMD, 50 Lakeside Ave, Burlington, VT, 05401, USA.
Barry FinetteTHINKMD, 50 Lakeside Ave, Burlington, VT, 05401, USA. bfinette@thinkmd.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe World Health Organization (WHO) Integrated Management of Childhood Illness (IMCI) guidelines established in 1992 to decrease preventable under-five child morbidity and mortality, was adopted by Nigeria in 1997. Over 20 years later, while under-five child mortality remains high, less than 25% of first level facilities have trained 60% of community health workers (CHW) who care for sick children with IMCI. This study investigated the impact in CHWs overall adherence to IMCI guidelines, particularly for critical danger signs, as well as usability and feasible following the implementation of THINKMD's IMCI-based digital clinical decision support (CDS) platform.

methodsAdherence to IMCI guidelines was assessed by observational and digital data acquisition of key IMCI clinical data points by 28 CHWs, prior, during, and post CDS platform implementation. Change in IMCI adherence was determined for individual CHW and for the cohort by analyzing the number of IMCI data points acquired by each CHW per clinical evaluation. Consistency of adherence was also calculated by averaging the percentage of total evaluations each data point was observed. Usability and acceptability surveys were administered following use of the CDS platform.

resultsTHINKMD CDS platform implementation notably enhanced the CHWs' ability to capture key IMCI clinical data elements. We observed a significant increase in the mean percentage of data points captured between the baseline period and during the CDS technology implementation (T-test, t = -31.399, p < 0.016, Holm-Bonferroni correction, two-sided), with the mean values going from 30.7% to 72.4%. Notably, even after the completion of the technology implementation phase, the mean percentage of IMCI elements captured by CHWs remained significantly elevated compared to the baseline, with a 26.72 percentage point increase (from 30.7% to 57.4%, T-test, t = -15.779, p < 0.05, Holm-Bonferroni correction, two-sided). Usability and feasibility of the platform was high. CHWs reported that the CDS platform was easy to learn and use (93%) and enabled them to identify sick children (100%).

conclusionThese results demonstrate that utilization of a digital clinical decision support tool such as THINKMD's IMCI based CDS platform can significantly increase CHW adherence to IMCI guidelines over paper-based utilization, increase clinical quality and capacity, and improve identification of key danger signs for under-five children while being highly accepted and adopted.

Indexed as

Community Health WorkersDecision Support Systems, ClinicalGuideline AdherenceAdultChildChild Health ServicesChild, PreschoolDelivery of Health Care, IntegratedFemaleHumansInfantMaleNigeriaPractice Guidelines as TopicChild healthClinical decision support (CDS)Community Health WorkerDigital healthIntegrated management of childhood illness

Identifiers

PMID39164647
PMCPMC11337650

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.