Evidence map›Paper›PMID 31952535›Full record

ArticleBMC health services research2020

Development of a percutaneous coronary intervention patient level composite measure for a clinical quality registry.

Darshini Ayton, Sze-Ee Soh, Renata Morello, Susannah Ahern, Arul Earnest, Angela Brennan, Jeffrey Lefkovits, Susan Evans, Christopher Reid, Rasa Ruseckaite and 1 more

Abstract read
In one paragraph

Article in BMC health services research, 2020. 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

11 authors.

Darshini AytonDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia. Darshini.Ayton@monash.edu.ORCID http://orcid.org/0000-0002-2754-2024
Sze-Ee SohDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia.
Renata MorelloDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia.
Susannah AhernDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia.
Arul EarnestDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia.
Angela BrennanDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia.
Jeffrey LefkovitsDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia.
Susan EvansDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia.
Christopher ReidDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia.
Rasa RuseckaiteDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia.
John McNeilDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia.

Funding

Medibank Better Health Foundation 2014-044
6 · The paper itself

Abstract

backgroundComposite measures combine data to provide a comprehensive view of patient outcomes. Despite composite measures being a valuable tool to assess post-intervention outcomes, the patient perspective is often missing. The purpose of this study was to develop a composite measure for an established cardiac outcome registry, by combining clinical outcomes following percutaneous coronary interventions (PCI) with a patient-reported outcome measure (PROM) developed specifically for this population (MC-PROM).

methodsTwo studies were undertaken. Study 1: Patients who had undergone a PCI at one of the three participating registry hospital sites completed the 5-item MC-PROM. Clinical outcome data for the patients (e.g. death, myocardial infarction, repeat vascularisation, new bleeding event) were collected 30 days post-intervention as part of routine data collection for the cardiac registry. Exploratory factor analysis of clinical outcomes and MC-PROM data was conducted to determine the minimum number of constructs to be included in a composite measure. Study 2: Clinical experts participated in a Delphi technique, consisting of three rounds of online surveys, to determine the clinical outcomes to be included and the weighting of the clinical outcomes and MC-PROM score for the composite measure.

resultsStudy 1: Routine clinical outcomes and the MC-PROM data were collected from 266 patients 30 days post PCI. The MC-PROM score was not significantly correlated with any clinical outcomes. Study 2: There was a relatively consistent approach to the weighting of the clinical outcomes and MC-PROM items by the expert panel (n = 18) across the three surveys with the exception of the clinical outcome of 'deceased at 30 days'. The final composite measure included five clinical outcomes within 30 days weighted at 90% (new heart failure, new myocardial infarction, new stent thrombosis, major bleeding event, new stroke, unplanned cardiac rehospitalisation) and the MC-PROM score (comprising 10% of the total weighting).

conclusionsA single patient level composite score, which incorporates weighted clinical outcomes and a PROM was developed. This composite score provides a more comprehensive reported measure of individual patient wellbeing at 30 days post their PCI-procedure, and may assist clinicians to further assess and address patient level factors that potentially impact on clinical recovery.

Indexed as

Patient Reported Outcome MeasuresPercutaneous Coronary InterventionAgedFemaleHumansMaleMiddle AgedQuality of Health CareRegistriesTreatment OutcomeClinical outcomeComposite measurePatient reported outcomePercutaneous coronary intervention

Identifiers

PMID31952535
PMCPMC6969470

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Registered trials

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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.