Evidence map›Paper›PMID 29463494›Full record

ArticleJMIR human factors2018

How Health Care Professionals Evaluate a Digital Intervention to Improve Medication Adherence: Qualitative Exploratory Study.

Karen Thomson, Corline Brouwers, Olga C Damman, Martine C de Bruijne, Danielle Rm Timmermans, Marijke Melles

Abstract read
In one paragraph

Article in JMIR human factors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  5. Article
  6. The Challenge of Sustainable Access to Telemonitoring Tools for People with Diabetes in Europe: Lessons from COVID-19 and Beyond.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2021
    Review
  7. Innovating health care: key characteristics of human-centered design.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

6 authors.

Karen ThomsonFaculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands.ORCID http://orcid.org/0000-0001-6537-137X
Corline Brouwers *Department of Public and Occupational Health and Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, Netherlands.ORCID http://orcid.org/0000-0001-6369-2858
Olga C DammanDepartment of Public and Occupational Health and Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, Netherlands.ORCID http://orcid.org/0000-0002-4482-5042
Martine C de BruijneDepartment of Public and Occupational Health and Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, Netherlands.ORCID http://orcid.org/0000-0003-1838-1158
Danielle Rm TimmermansDepartment of Public and Occupational Health and Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, Netherlands.ORCID http://orcid.org/0000-0002-3602-3875
Marijke MellesFaculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands.ORCID http://orcid.org/0000-0002-6342-6493

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedication nonadherence poses a serious and a hard-to-tackle problem for many chronic diseases. Electronic health (eHealth) apps that foster patient engagement and shared decision making (SDM) may be a novel approach to improve medication adherence.

objectiveThe aim of this study was to investigate the perspective of health care professionals regarding a newly developed digital app aimed to improve medication adherence. Familial hypercholesterolemia (FH) was chosen as a case example.

methodsA Web-based prototype of the eHealth app-MIK-was codesigned with patients and health care professionals. After user tests with patients, we performed semistructured interviews and user tests with 12 physicians from 6 different hospitals to examine how the functionalities offered by MIK could assist physicians in their consultation and how they could be integrated into daily clinical practice. Qualitative thematic analysis was used to identify themes that covered the physicians' evaluations.

resultsOn the basis of the interview data, 3 themes were identified, which were (1) perceived impact on patient-physician collaboration; (2) perceived impact on the patient's understanding and self-management regarding medication adherence; and (3) perceived impact on clinical decisions and workflow.

conclusionsThe eHealth app MIK seems to have the potential to improve the consultation between the patient and the physician in terms of collaboration and patient engagement. The impact of eHealth apps based on the concept of SDM for improving medication-taking behavior and clinical outcomes is yet to be evaluated. Insights will be useful for further development of eHealth apps aimed at improving self-management by means of patient engagement and SDM.

Indexed as

eHealthmedication adherencepatient engagementself-managementshared decision making

Identifiers

PMID29463494
PMCPMC5840481

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Registered trials

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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.