Literature DB >> 20019091

Measuring morbidity: self-report or health care records?

Julie Barber1, Sara Muller, Tracy Whitehurst, Elaine Hay.   

Abstract

BACKGROUND: Epidemiological surveys often rely on self-report as a measure of morbidity in a population. However, these data can also be extracted from primary care records.
OBJECTIVE: To compare morbidity estimates based on self-report with those obtained from primary care records.
METHODS: A cross-sectional survey and accompanying medical record review were carried out in all consenting adults aged > or =50 years in three general practices in North Staffordshire, UK. Self-reported morbidity was compared with computerized general practice consultation records for the 2 years prior to the survey.
RESULTS: Of the 7878 survey responders, 5889 consented to medical record review. Agreement between self-reported and consultation data was excellent for diabetes. Agreement between the two sources of data was lower for hypertension, heart problems, chest problems and eyesight problems. It was poor for deafness and falls.
CONCLUSIONS: Self-report and consultation data provide comparable estimates of the prevalence of specific diagnoses such as diabetes. For other conditions, self-report and consultation records provide different measures of prevalence, and the choice of measure will depend on the morbidity being studied.

Entities:  

Mesh:

Year:  2009        PMID: 20019091     DOI: 10.1093/fampra/cmp098

Source DB:  PubMed          Journal:  Fam Pract        ISSN: 0263-2136            Impact factor:   2.267


  23 in total

1.  Inconsistencies in self-reported health conditions: results of a nationwide panel study.

Authors:  Heidi Amalie Rosendahl Jensen; Michael Davidsen; Anne Illemann Christensen; Ola Ekholm
Journal:  Int J Public Health       Date:  2019-08-17       Impact factor: 3.380

2.  Validity of diabetes self-reports in the Women's Health Initiative.

Authors:  Jody M Jackson; Terese A DeFor; A Lauren Crain; Tessa J Kerby; Lori S Strayer; Cora E Lewis; Evelyn P Whitlock; Selvi B Williams; Mara Z Vitolins; Rebecca J Rodabough; Joseph C Larson; Elizabeth B Habermann; Karen L Margolis
Journal:  Menopause       Date:  2014-08       Impact factor: 2.953

3.  Prevalence of chronic medical conditions in Switzerland: exploring estimates validity by comparing complementary data sources.

Authors:  Ueli Zellweger; Matthias Bopp; Barbara M Holzer; Sima Djalali; Vladimir Kaplan
Journal:  BMC Public Health       Date:  2014-11-07       Impact factor: 3.295

Review 4.  "Let's get the best quality research we can": public awareness and acceptance of consent to use existing data in health research: a systematic review and qualitative study.

Authors:  Elizabeth M Hill; Emma L Turner; Richard M Martin; Jenny L Donovan
Journal:  BMC Med Res Methodol       Date:  2013-06-04       Impact factor: 4.615

5.  Comparison of the information provided by electronic health records data and a population health survey to estimate prevalence of selected health conditions and multimorbidity.

Authors:  Concepción Violán; Quintí Foguet-Boreu; Eduardo Hermosilla-Pérez; Jose M Valderas; Bonaventura Bolíbar; Mireia Fàbregas-Escurriola; Pilar Brugulat-Guiteras; Miguel Ángel Muñoz-Pérez
Journal:  BMC Public Health       Date:  2013-03-21       Impact factor: 3.295

6.  Monitoring the prevalence of chronic conditions: which data should we use?

Authors:  Juan F Orueta; Roberto Nuño-Solinis; Maider Mateos; Itziar Vergara; Gonzalo Grandes; Santiago Esnaola
Journal:  BMC Health Serv Res       Date:  2012-10-22       Impact factor: 2.655

7.  Prevalence and socioeconomic correlates of chronic morbidity among elderly people in Kosovo: a population-based survey.

Authors:  Naim Jerliu; Ervin Toçi; Genc Burazeri; Naser Ramadani; Helmut Brand
Journal:  BMC Geriatr       Date:  2013-03-01       Impact factor: 3.921

8.  Clustering of pain and its associations with health in people aged 50 years and older: cross-sectional results from the North Staffordshire Osteoarthritis Project.

Authors:  R J Lacey; V Y Strauss; T Rathod; J Belcher; P R Croft; B Natvig; R Wilkie; J McBeth
Journal:  BMJ Open       Date:  2015-11-09       Impact factor: 2.692

9.  Agreement between self-reported and general practitioner-reported chronic conditions among multimorbid patients in primary care - results of the MultiCare Cohort Study.

Authors:  Heike Hansen; Ingmar Schäfer; Gerhard Schön; Steffi Riedel-Heller; Jochen Gensichen; Siegfried Weyerer; Juliana J Petersen; Hans-Helmut König; Horst Bickel; Angela Fuchs; Susanne Höfels; Birgitt Wiese; Karl Wegscheider; Hendrik van den Bussche; Martin Scherer
Journal:  BMC Fam Pract       Date:  2014-03-01       Impact factor: 2.497

10.  Electronic medical records: the way forward for primary care research?

Authors:  Sara Muller
Journal:  Fam Pract       Date:  2014-03-13       Impact factor: 2.267

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