Evidence map›Paper›PMID 36645248›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2023

Analysis of user interactions with a digital health wallet for enabling care continuity in the context of an ongoing pandemic.

Charles Wachira, William Ogallo, Sharon Okwako, Sekou Lionel Remy, Zipporah Bukania, Mercy Karimi Njeru, Moses Mwangi, Sharon Mokua, Wycliffe Omwanda, Daniele Ressler and 1 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Global Health Informatics: the state of research and lessons learned.Journal of the American Medical Informatics Association : JAMIA · 2023
    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

11 authors.

Charles WachiraIBM Research Africa, Nairobi, Kenya.ORCID 0000-0003-0891-7596
William OgalloIBM Research Africa, Nairobi, Kenya.
Sharon OkwakoIBM Research Africa, Nairobi, Kenya.
Sekou Lionel RemyIBM Research Africa, Nairobi, Kenya.ORCID 0000-0003-2332-6890
Zipporah BukaniaCentre for Public Health-Kenya Medical Research Institute (KEMRI), Nairobi, Kenya.
Mercy Karimi NjeruCentre for Public Health-Kenya Medical Research Institute (KEMRI), Nairobi, Kenya.
Moses MwangiCentre for Public Health-Kenya Medical Research Institute (KEMRI), Nairobi, Kenya.
Sharon MokuaCentre for Public Health-Kenya Medical Research Institute (KEMRI), Nairobi, Kenya.
Wycliffe OmwandaLwala Community Alliance, Migori, Kenya.
Daniele ResslerLwala Community Alliance, Migori, Kenya.
Aisha Walcott-BryantIBM Research Africa, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe onset of COVID-19 and related policy responses made it difficult to study interactive health informatics solutions in clinical study settings. Instrumented log and event data from interactive systems capture temporal details that can be used to generate insights about care continuity during ongoing pandemics.

objectiveTo investigate user interactions with a digital health wallet (DHW) system for addressing care continuity challenges in chronic disease management in the context of an ongoing pandemic. MATERIALS AND

methodsWe analyzed user interaction log data generated by clinicians, nurses, and patients from the deployment of a DHW in a feasibility study conducted during the COVID-19 pandemic in Kenya. We used the Hamming distance from Information Theory to quantify deviations of usage patterns extracted from the events data from predetermined workflow sequences supported by the platform.

resultsNurses interacted with all the user interface elements relevant to triage. Clinicians interacted with only 43% of elements relevant to consultation, while patients interacted with 67% of the relevant user interface elements. Nurses and clinicians deviated from the predetermined workflow sequences by 42% and 36%, respectively. Most deviations pertained to users going back to previous steps in their usage workflow.

conclusionsUser interaction log analysis is a valuable alternative method for generating and quantifying user experiences in the context of ongoing pandemics. However, researchers should mitigate the potential disruptions of the actual use of the studied technologies as well as use multiple approaches to investigate user experiences of health technology during pandemics.

Indexed as

COVID-19Continuity of Patient CareFeasibility StudiesHumansPandemicsTriagecare continuitydigital health walletlog analysispandemicsuser interactions

Identifiers

PMID36645248
PMCPMC10018250

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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.