Evidence map›Paper›PMID 18416841›Full record

ArticleBMC health services research2008

"Concordance between comorbidity data from patient self-report interviews and medical record documentation".

William Corser, Alla Sikorskii, Ade Olomu, Manfred Stommel, Camille Proden, Margaret Holmes-Rovner

2 registry-linked trialsAbstract readComparative Study
In one paragraph

Article in BMC health services research, 2008. 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 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing 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.

NCT00416026 nacompletednot on this map

Translating Research: Patient Decision Support/Coaching

TypeinterventionalSponsorMichigan State UniversityRan2002 to 2004Enrolled304ConditionsAcute Coronary SyndromeArmsEducational/Counseling/Training
NCT03434561 completednot on this mapstarted 2013, after this paper: background citation

Comparing Different Methods for Collection of Comorbidity Data Per the Hematopoietic Cell Transplantation Comorbidity Index (HCT-CI)

TypeobservationalSponsorFred Hutchinson Cancer CenterRan2013 to 2016Enrolled360ConditionsHematopoietic Malignancy
3 · Its place in the literature

Who cites it

53 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Predictors of persistence of post-chemotherapy symptoms among survivors of solid tumor cancers.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Observational
  15. Article
  16. Epidemiology of Rheumatoid Arthritis in Korea.Journal of rheumatic diseases · 2021
    Review
  17. Article
  18. Impact of comorbid conditions on disease-specific quality of life in older men and women with atrial fibrillation.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020
    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

6 authors.

William CorserCollege of Nursing, Michigan State University, B500A West Fee Hall,, East Lansing, Michigan 48824, USA. bill.corser@ht.msu.edu
Alla Sikorskii
Ade Olomu
Manfred Stommel
Camille Proden
Margaret Holmes-Rovner

Funding

TRANSLATING RESEARCH: PATIENT DECISION SUPPORT/COACHINGR01HS010531 · AHRQ · MICHIGAN STATE UNIVERSITY · PI HOLMES-ROVNER, MARGARET M · 2000 to 2003
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AHRQ HHS R01 HS010531AHRQ HHS R01 HS10531
6 · The paper itself

Abstract

backgroundComorbidity is an important adjustment measure in research focusing on outcomes such as health status and mortality. One recurrent methodological issue concerns the concordance of comorbidity data obtained from different reporting sources. The purpose of these prospectively planned analyses was to examine the concordance of comorbidity data obtained from patient self-report survey interviews and hospital medical record documentation.

methodsComorbidity data were obtained using survey interviews and medical record entries from 525 hospitalized Acute Coronary Syndrome patients. Frequencies and descriptive statistics of individual and composite comorbidity data from both sources were completed. Individual item agreement was evaluated with simple and weighted kappas, Spearman Rho coefficients for composite scores.

resultsOn average, patients reported more comorbidities during their patient survey interviews (mean = 1.78, SD = 1.99) than providers had documented in medical records (mean = 1.27, SD = 1.43). Higher proportions of positive responses were obtained from self-reports compared to medical records for all conditions except congestive heart failure and renal disease. Older age and higher depressive symptom levels were significantly associated with poorer levels of data concordance.

conclusionThese results demonstrate that survey comorbidity data from ACS patients may not be entirely concordat with medical record documentation. In the absence of a gold standard, it is possible that hospital records did not include all pre-admission comorbidities and these patient survey interview methods may need to be refined. Self-report methods to facilitate some patients' complete recall of comorbid conditions may need to be refined by health services researchers.

trial registrationClinicalTrials.gov NCT00416026.

Indexed as

ComorbidityInterviews as TopicMedical RecordsAgedData CollectionFemaleHumansLogistic ModelsMaleMiddle AgedOdds RatioSocioeconomic Factors

Identifiers

PMID18416841
PMCPMC2346463

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.