Evidence map›Paper›PMID 37434146›Full record

ArticleHealth and quality of life outcomes2023

Response rates in clinical quality registries and databases that collect patient reported outcome measures: a scoping review.

Rasa Ruseckaite, Chethana Mudunna, Marisa Caruso, Susannah Ahern

Abstract readScoping Review
In one paragraph

Article in Health and quality of life outcomes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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.

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

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

  1. Eligibility definitions and response rate accuracy in studies using routinely collected PROMs: a systematic review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Pooled it
  2. Factors associated with response to patient-reported outcome measures: a systematic review of systematic and scoping reviews, and meta-analyses.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Pooled it
  3. Pooled it
  4. Trial
  5. Childbirth experiences in women with polycystic ovary syndrome: A cohort study.Acta obstetricia et gynecologica Scandinavica · 2024
    Trial
  6. Cumulative surgeon volume is associated with improved outcomes following hip arthroscopy: A national registry study.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors.

Rasa RuseckaiteSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, 3004, Australia. rasa.ruseckaite@monash.edu.
Chethana MudunnaSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, 3004, Australia.
Marisa CarusoSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, 3004, Australia.
Susannah AhernSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, 3004, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient Reported Outcome Measures (PROMs) are being increasingly introduced in clinical registries, providing a personal perspective on the expectations and impact of treatment. The aim of this study was to describe response rates (RR) to PROMs in clinical registries and databases and to examine the trends over time, and how they change with the registry type, region and disease or condition captured.

methodsWe conducted a scoping literature review of MEDLINE and EMBASE databases, in addition to Google Scholar and grey literature. All English studies on clinical registries capturing PROMs at one or more time points were included. Follow up time points were defined as follows: baseline (if available), < 1 year, 1 to < 2 years, 2 to < 5 years, 5 to < 10 years and 10 + years. Registries were grouped according to regions of the world and health conditions. Subgroup analyses were conducted to identify trends in RRs over time. These included calculating average RRs, standard deviation and change in RRs according to total follow up time.

resultsThe search strategy yielded 1,767 publications. Combined with 20 reports and four websites, a total of 141 sources were used in the data extraction and analysis process. Following the data extraction, 121 registries capturing PROMs were identified. The overall average RR at baseline started at 71% and decreased to 56% at 10 + year at follow up. The highest average baseline RR of 99% was observed in Asian registries and in registries capturing data on chronic conditions (85%). Overall, the average RR declined as follow up time increased.

conclusionA large variation and downward trend in PROMs RRs was observed in most of the registries identified in our review. Formal recommendations are required for consistent collection, follow up and reporting of PROMs data in a registry setting to improve patient care and clinical practice. Further research studies are needed to determine acceptable RRs for PROMs captured in clinical registries.

Indexed as

PatientsQuality of LifeDatabases, FactualHumansPatient Reported Outcome MeasuresRegistriesClinical registriesPatient reported outcome measuresQuality of lifeResponse ratesSurveys and questionnaires

Identifiers

PMID37434146
PMCPMC10337187

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.