Evidence map›Paper›PMID 35387314›Full record

ArticleHealth science reports2022

Evaluation of m-Health-rehabilitation for respiratory disorders: A systematic review.

Shamim Kiani, Sanaz Abasi, Azita Yazdani

Open access · goldAbstract read
In one paragraph

Article in Health science reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the 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
2.1field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Digital remote maintenance inhaler adherence interventions in COPD: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2024
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Mobile heath applications for self-management in chronic lung disease: a systematic review.Network modeling and analysis in health informatics and bioinformatics · 2023
    Review
  8. 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 at 1 institution in 1 country.

Shamim KianiStudent Research Committee, Department of Health Information Management, School of Health Management and Information Sciences Shiraz University of Medical Sciences Shiraz Iran.ORCID 0000-0002-6258-4828
Sanaz AbasiStudent Research Committee, Department of Health Information Management, School of Health Management and Information Sciences Shiraz University of Medical Sciences Shiraz Iran.ORCID 0000-0001-6176-8505
Azita YazdaniDepartment of Health Information Management, Clinical Education Research Center, Health Human Resources Research Center, School of Health Management and Information Sciences Shiraz University of Medical Sciences Shiraz Iran.ORCID 0000-0002-5190-286X
Shiraz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Chronic respiratory diseases are prominent causes of morbidity worldwide that impose significant social and economic burdens on individuals and communities. Pulmonary rehabilitation is one of the main aspects of medical rehabilitation. Nowadays, mobile health apps deliver pulmonary rehabilitation support via smartphones. This article presents a systematic review of the literature on m-Health apps used in respiration disorders rehabilitation. Methods: A systematic search was performed on MEDLINE (through PubMed), Web of Science, and Scopus in May 2021 without any date limitation. This study was using a combination of keywords and MeSH terms associated with pulmonary rehabilitation. Relevant studies were selected by two independents and were categorized studies results. The inclusion criterion was m-Health apps for pulmonary rehabilitation and exclusion criteria mobile-based interventions, by voice call or short message service and cardiopulmonary articles. Results: Searching scientific databases yielded 161 relevant articles. Then, 27 articles were included in the study with a complete evaluation of the articles. Sixty percent of them were related to patients with chronic obstructive pulmonary disease (COPD). Rehabilitation aiming to improve the quality of life, promote self-management, encourage physical activity, and reduce the symptoms as the most common goals of pulmonary rehabilitation using m-Health apps; 89% of these studies showed that m-Health apps can be effective in improving pulmonary rehabilitation. In addition, 37% of studies reported high usability and acceptance. However, the results of some studies show that adherence to apps decreases in the long run. Conclusion: Our study shows that m-Health pulmonary rehabilitation apps are effective in improving the quality of life, self-management, and physical activity. According to the results, it seems that using the m-Health apps for pulmonary rehabilitation can be useful in the COVID-19 pandemic and help reduce respiratory disorders in patients with COVID-19 disease.

Indexed as

COVID‐19mobile healthpulmonaryrehabilitationrespiration disorders

Identifiers

PMID35387314
PMCPMC8973261
OpenAlexW4221026320

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.