Evidence map›Paper›PMID 30826759›Full record

ArticleBMJ open2019

ITM support for patients with chronic respiratory and cardiovascular diseases: a protocol for a randomised controlled trial.

Julie Redfern, Karice Hyun, Anna Singleton, Nashid Hafiz, Rebecca Raeside, Lissa Spencer, Bridie Carr, Ian Caterson, John Cullen, Cate Ferry and 11 more

2 registry-linked trialsAbstract readClinical Trial Protocol
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 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.

NCT05151198 unknown statusnot on this mapstarted 2021, after this paper: background citation

A Smartphone-based Self-management Support Program for Patients With Chronic Obstructive Pulmonary Disease - A Needs Assessment Survey

TypeobservationalSponsorThe University of Hong KongRan2021 to 2022Enrolled50ConditionsChronic Obstructive Pulmonary Disease
NCT05192083 naunknown statusnot on this mapstarted 2022, after this paper: background citation

A Pilot Trial of a Smartphone-based Self-management Support Program for Patients With Chronic Obstructive Pulmonary Disease

TypeinterventionalSponsorThe University of Hong KongRan2022 to 2022Enrolled14ConditionsChronic Obstructive Pulmonary DiseaseArmsSelf-management and Support
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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

21 authors.

Julie RedfernWestmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.ORCID 0000-0001-8707-5563
Karice HyunWestmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.
Anna SingletonWestmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.
Nashid HafizWestmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.
Rebecca RaesideWestmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.
Lissa SpencerDepartment of Physiotherapy, Sydney Local Health District, Camperdown, New South Wales, Australia.
Bridie CarrNSW Agency for Clinical Innovation, Sydney, New South Wales, Australia.
Ian CatersonBoden Institute, University of Sydney, University of Sydney, New South Wales, Australia.
John CullenDepartment of Geriatric Medicine, Concord Repatriation General Hospital, Sydney LHD, Sydney, New South Wales, Australia.
Cate FerryNSW Division, Heart Foundation, Sydney, New South Wales, Australia.
Karla SantoCardiovascular Division, The George Institute for Global Health, Sydney, New South Wales, Australia.ORCID 0000-0001-9047-8865
Alison HayesSchool of Public Health, University of Sydney, Sydney, Australia.
Regina W M LeungFaculty of Health Sciences, University of Sydney, Sydney, New South Wales, Australia.
Simon RaadsmaBehavioural Insights Unit, NSW Department of Premier and Cabinet, Sydney, New South Wales, Australia.
Jessica SwinbourneBoden Institute of Obesity, Nutrition, Exercise and Eating Disorders, University of Sydney, Sydney, New South Wales, Australia.
Jin G ChoWestmead Clinical School, University of Sydney, Sydney, New South Wales, Australia.
Meredith KingChronic Disease Community Rehabilitation Service, Northern Sydney Local Health District, Sydney, New South Wales, Australia.
Mary RobertsWestern Sydney Local Health District, Westmead, New South Wales, Australia.
Cindy KokWestmead Clinical School, University of Sydney, Sydney, New South Wales, Australia.
Christine JenkinsInstitute of Respiratory Medicine, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.
Clara ChowWestmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSimple and scalable strategies are needed to improve 'out-of-hospital' support and management for people living with cardiovascular disease (CVD) and respiratory disease. Text messaging via mobile phones has been shown to be effective in helping promote lifestyle change and is supported by quantitative and qualitative evidence. The aim of this study is to test the effectiveness and implementation of a 6-month text messaging support programme for people with CVD and respiratory disease as an addition to cardiac and pulmonary outpatient rehabilitation. METHODS AND ANALYSIS: Pragmatic randomised controlled trial (n=310) to test the effectiveness of a 6-month text message support programme on clinical outcomes in people with CVD and chronic respiratory disease who are attending outpatient cardiac and pulmonary rehabilitation. The study includes a nested process evaluation to inform scalability and implementation across settings. The intervention group will receive a text message support programme comprising five messages per week for 26 weeks and the control group will continue with standard care. The primary outcome is exercise capacity (6 min walk distance). Secondary outcomes include clinical measures (proportion of people meeting the Australian guideline-recommended blood pressure and cholesterol targets), lifestyle outcomes (smoking rates, achievement of national guidelines for nutrition and physical activity), quality of life, mood (Hospital Anxiety and Depression Scale), medication adherence and attendance at and completion of rehabilitation. ETHICS AND DISSEMINATION: Primary ethics approval was received from the Sydney Local Health District Hospital Human Research Ethics Committee and associated Governance committees at sites. Results will be disseminated via the usual scientific forums including peer-reviewed publications and presentations at international conferences. At its conclusion, the study will determine the effectiveness and implementation of a simple programme that aims to improve health outcomes and attendance at rehabilitation for people with CVD and chronic respiratory disease. TRIAL REGISTRATION NUMBER: ACTRN12616001167459.

Indexed as

Medication AdherenceText MessagingAustraliaBlood PressureCardiovascular DiseasesCell PhoneChronic DiseaseDietExerciseHumansLife StyleMotivationPatient Education as TopicPragmatic Clinical Trials as TopicQuality of LifeReminder Systemscardiovascular diseasechronic obstructive pulmonary diseaseimplementationrehabilitation medicinerespiratory medicine (see thoracic medicine)text message

Identifiers

PMID30826759
PMCPMC6430023

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.