Evidence map›Paper›PMID 31615493›Full record

ArticleBMC medical informatics and decision making2019

Constructing an assessment framework for the quality of asthma smartphone applications.

Zhifang Guan, Liu Sun, Qian Xiao, Yanling Wang

Registry-linked trialAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06116292 (Impact of the Implementation of a Telemedicine Program on Patients Diagnosed with Asthma), which is not on this map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 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.

NCT06116292 narecruitingnot on this mapstarted 2024, after this paper: background citation

Impact of the Implementation of a Telemedicine Program on Patients Diagnosed with Asthma

TypeinterventionalSponsorHospital Universitari de BellvitgeRan2024 to 2026Enrolled108ConditionsAsthma, Telemedicine, Adherence, Treatment, Quality of LifeArmsThe mobile application ESTOI for Asthmatic patients
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Review
  8. 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

4 authors.

Zhifang GuanCapital Medical University, School of Nursing, Beijing, China.
Liu SunCapital Medical University, School of Nursing, Beijing, China.
Qian XiaoCapital Medical University, School of Nursing, Beijing, China.
Yanling WangCapital Medical University, School of Nursing, Beijing, China. wangyanling_eliza@126.com.ORCID 0000-0002-1295-4245

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnhancing the self-management capability of asthma patients can improve their level of asthma control. Although the use of mobile health technology among asthmatics to facilitate self-management has become a growing area of research, studies of mobile health applications (apps), especially for evaluating indicators of asthma apps, are deficient in scope. This study aimed to develop a reliable framework to assess asthma apps (i.e., content and behavior change strategies) using the Delphi survey technique.

methodsAn initial list of quality rating criteria for asthma apps was derived from reviewing the literature and experts in the fields of respiratory disease and nursing informatics rated the items on the list in three rounds. The weights of items were determined employing an analytic hierarchy process (AHP).

resultsSixty-two items were retained within 10 domains. Consensus was reached on 32 items concerning asthma self-management education, 25 items concerning behavioral change strategies, and five items concerning principles for app design. There was moderate agreement among participants across all items in round three. The weights of the dimensions, sub-dimensions, and items ranged from 0.049 to 0.203, 0.138 to 1.000, and 0.064 to 1.000, respectively. All random consistency ratio values were less than 0.1.

conclusionsAsthma self-management education and strategies are essential parts to support self-management for patients. This analysis provides evidence of evaluating criteria for apps targeting chronic and common diseases.

Indexed as

Mobile ApplicationsQuality Assurance, Health CareSelf-ManagementSmartphoneTelemedicineAdultAsthmaDelphi TechniqueFemaleHumansMaleMiddle AgedSurveys and QuestionnairesAppsAsthmaDelphi surveyEvaluation indexSelf-management

Identifiers

PMID31615493
PMCPMC6794797

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Registered trials

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.