Evidence map›Paper›PMID 31561192›Full record

Trial reportInternational journal of medical informatics2019

Use of the FITT framework to understand patients' experiences using a real-time medication monitoring pill bottle linked to a mobile-based HIV self-management app: A qualitative study.

Hwayoung Cho, Gabriella Flynn, Maureen Saylor, Melissa Gradilla, Rebecca Schnall

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in International journal of medical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% of its field
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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
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  7. Article
  8. Article
  9. Article
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  11. Article
  12. Article
  13. Leveraging mHealth for the Treatment and Management of PLHIV.Risk management and healthcare policy · 2023
    Article
  14. Review
  15. Article
  16. What Works Best to Engage Participants in Mobile App Interventions and e-Health: A Scoping Review.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2022
    Article
  17. Review
  18. Article
  19. Article
  20. 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

5 authors at 3 institutions in 1 country.

Hwayoung ChoCollege of Nursing, University of Florida, Gainesville, FL, United States. Electronic address: hcho@ufl.edu.
Gabriella FlynnSchool of Nursing, Columbia University, New York, NY, United States.
Maureen SaylorSchool of Nursing, Columbia University, New York, NY, United States.
Melissa GradillaEvery Mother Counts, New York, NY, United States.
Rebecca SchnallSchool of Nursing, Columbia University, New York, NY, United States.
Columbia University · USEvery Mother Counts · USUniversity of Florida · US

Funding

The Wise App Trial for Improving Health Outcomes in PLWHR01HS025071 · AHRQ · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SCHNALL, REBECCA · 2016 to 2020
$2.0M
AHRQ HHS R01 HS025071
6 · The paper itself

Abstract

objectiveThe purpose of this work was to conduct an in-depth analysis to understand patients' experiences using a real-time medication monitoring pill bottle linked to an HIV self-management app.

methodsA descriptive qualitative study design was used. In-depth interviews were conducted using a semi-structured interview guide at the 3-month follow-up visit during a trial of the app for improving medication adherence which began in January 2018. Eligibility criteria were HIV-positive, over the age of 18, ownership of a smartphone, able to speak and understand English and self-report less than 80% adherence to medications in the past 30 days or a viral load of over 20 copies/mL (detectable). All interviews were audio-recorded and transcribed. Using thematic analysis, we explored emerging themes with similar patterns across interviews and organized the themes according to the constructs of the Fit between Individuals, Task and Technology (FITT) framework.

resultsThirty-eight persons living with HIV (PLWH), who were randomized to the intervention arm of the study trial, participated in the interviews. 79.0% of participants reported their race as African American/Black, 63.2% had completed some high school or less, and 79.0% reported an annual median income of less than $20,000. Data was collected until saturation was reached. A total of nine major themes organized by the FITT framework were identified. Three themes related to the fit between individuals and task were: motivation for strict medication adherence, self-efficacy for overall health management, and engagement with medication reminders. Four themes related to the fit between individual and technology were: ease of use, HIV-related stigma and disclosure of HIV status, customized alert of medication time windows based on individual routine set-up, and preference for device design. Two themes related to the fit between task and technology were: system functionality of data transfer from the electronic pill bottle to the app and self-awareness of system syncing signals.

conclusionsThis study demonstrated that tracking medication adherence and receiving push-notification medication reminders through the electronic pill bottle connected to the app encourages and supports PLWH in adhering to their medication regimens. Findings from this work highlight the importance of adequate consideration of the needs of intended users in designing customizable mobile health technology, including HIV-related stigma, disclosure of HIV status and antiretroviral therapy regimens.

Indexed as

Drug MonitoringSelf-ManagementAdultAgedFemaleHIVHIV InfectionsHumansMaleMiddle AgedMobile ApplicationsPatient SatisfactionQualitative ResearchSelf EfficacyTelemedicineElectronic pill bottleHIV/AIDSMedication adherenceMedication complianceMobile applicationsMobile healthReal-time monitoring

Identifiers

PMID31561192
PMCPMC7144128
OpenAlexW2967276838

What OpenQuestion holds

Textmetadata
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.