Evidence map›Paper›PMID 39502491›Full record

ArticleDigital health

A mixed-methods examination of the acceptability of, CareMOBI, a dementia-focused mhealth app, among primary care providers.

Zuha Ali, Jie Zhong, Tina R Sadarangani

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

3 authors.

Zuha AliSchool of Medicine, Indiana University, Indianapolis, IN, USA.
Jie ZhongSchool of Nursing, University of Hong Kong, Hong Kong, China.ORCID https://orcid.org/0000-0003-1025-7785
Tina R SadaranganiCollege of Nursing, New York University Rory Meyers, New York, NY, USA.

Funding

Training Core (I)U54AG063546 · NIA · BROWN UNIVERSITY · PI Heather Gwynn Allore · 2019 to 2026
$125.9M
Leveraging mobile health technology to reduce avoidable healthcare utilization in persons with Alzheimer's Disease and Related Dementias in adult day centersK23AG071948 · NIA · NEW YORK UNIVERSITY · PI SADARANGANI, TINA · 2021 to 2025
$1.1M
Bridging Communication Gaps between Primary Care Providers and Adult Day Service Centers to Reduce Emergency Department Use and Hospitalizations among Persons with DementiaR21AG069801 · NIA · NEW YORK UNIVERSITY · PI SADARANGANI, TINA · 2020 to 2021
$793k
NIA NIH HHS K23 AG071948NIA NIH HHS R21 AG069801NIA NIH HHS U54 AG063546
6 · The paper itself

Abstract

Background: CareMOBI (mhealth for Organization to Bolster Interconnectedness) is a user-centered mobile application that supports secure communication between adult day health centers, primary care providers, and family caregivers. The aim of this study was to examine the acceptability of CareMOBI in the primary care setting and identify factors contributing to the likelihood of adoption among primary care providers. Methods: We used a mixed-methods concurrent triangulation design. We, first, collected quantitative data using the Technology Acceptance Model questionnaire. Follow-up interview questions allowed participants to elaborate on their experience interacting with CareMOBI. We developed an informational matrix based on major themes within the Technology Acceptance Model (ease of use, value in clinical care, fit within existing workflows, and likelihood of adoption) in which qualitative data were embedded and compared. Results: Our sample included 10 primary care providers. Participants rated CareMOBI high in ease of use ( Conclusion: Providers found CareMOBI valuable and easy to use, and there was a high likelihood of eventual adoption. However, apprehensions regarding workflow and electronic health records integration arose, which the team will have to consider as they move forward to the next phase of the application's development.

Indexed as

application-based personalized medicineDementia diseaseeHealthelderly medicinehealth communications

Identifiers

PMID39502491
PMCPMC11536561

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.