Evidence map›Paper›PMID 37684691›Full record

ArticleSystematic reviews2023

Adherence enhancing interventions for pharmacological and oxygen therapy in patients with COPD: protocol for a systematic review and component network meta-analyses.

Omar Ammous, Stefan Andreas, Tim Friede, Regina Kampo, Sarah Schwarz, Maximilian Wollsching-Strobel, Susanna Salem, Wolfram Windisch, Tim Mathes

Open access · goldAbstract read
In one paragraph

Article in Systematic reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 32% 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

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

  1. Pooled it
  2. Pooled it
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

9 authors at 2 institutions in 1 country.

Omar AmmousDepartment of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany. Omar.ammous@med.uni-goettingen.de.ORCID http://orcid.org/0000-0003-1671-1432
Stefan AndreasClinic for Pneumology/Krs. Kassel, Immenhausen, Germany.
Tim FriedeDepartment of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany.
Regina KampoDepartment of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany.
Sarah SchwarzCologne Merheim Hospital, Department of Pneumology, Kliniken der Stadt Köln gGmbH, Cologne, Germany.
Maximilian Wollsching-StrobelCologne Merheim Hospital, Department of Pneumology, Kliniken der Stadt Köln gGmbH, Cologne, Germany.
Susanna SalemDepartment of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany.
Wolfram WindischCologne Merheim Hospital, Department of Pneumology, Kliniken der Stadt Köln gGmbH, Cologne, Germany.
Tim MathesDepartment of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany.
Universitätsmedizin Göttingen · DEWitten/Herdecke University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) is characterised by hyperinflation and expiratory airflow limitation due to long-term exposure to irritants. The variety and complexity of COPD treatment and the possible added comorbidities may make the patients find it difficult to cope with the required medications. That is why supporting patients' adherence is critical because not taking medications correctly increases the risk of complications and creates an additional financial burden. A range of interventions aiming to improve patient adherence were used, and most of them are complex since they involve a mix of elements. Furthermore, despite the variety of available tools, assessing adherence is challenging because clinicians usually do not get a concrete judgement if their patients followed their treatment plan reliably. We aim to evaluate the effectiveness of adherence-enhancing interventions for COPD patients, explore which intervention (component) works for which patients and check the factors influencing the implementation and participant responses.

methodsWe will perform a comprehensive literature search (Medline, Embase, Cochrane Library, trial registries) without restrictions on language and publication status, and we will include all controlled studies investigating the effect of adherence-enhancing intervention on patients with COPD. We plan to involve COPD patients in the systematic review development through two patient interviews (one before and one after the systematic review). Two reviewers will perform the screening, data extraction and risk of bias (ROB) assessment. For ROB, we will use ROB 2.0 to assess randomised controlled trials, and ROBINS-I to assess non-randomised studies. We will perform pair-wise random-effects meta-analyses and component network meta-analyses to identify the most effective components and combinations of components. We will use the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach to assess the quality of evidence. To determine the degree of complexity, we will use the iCAT_SR checklist, and then, following a logical model, we will group the interventions according to prespecified criteria. DISCUSSION: This systematic review aims to point out the most effective and implementable adherence-enhancing interventions by using methods for synthesising evidence on complex interventions and involving COPD patients all along with the review process. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42022353977.

Indexed as

Oxygen Inhalation TherapyPulmonary Disease, Chronic ObstructiveChecklistHumansNetwork Meta-Analysis as TopicOxygenSystematic Reviews as TopicOxygenAdherenceComplex interventionCOPDGRADENetwork meta-analysisRisk of bias

Identifiers

PMID37684691
PMCPMC10486002
OpenAlexW4386544985

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.