ArticleBMC health services research2011
A comparison of comorbidities obtained from hospital administrative data and medical charts in older patients with pneumonia.
Article in BMC health services research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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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.
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.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.
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- Antiplatelet Agents and Oral Anticoagulant Use in Patients with Atrial Fibrillation and Carotid Artery Disease After First-Time Ischaemic Stroke.Cardiovascular drugs and therapy · 2024Article
- A global multicenter propensity-matched analysis of mortality risk and palliative care referral due to cirrhosis in hospitalized patients with COVID-19.Journal of clinical and translational research · 2022Review
- Outcomes of left atrial appendage occlusion vs. non-vitamin K antagonist oral anticoagulants in atrial fibrillation.Clinical research in cardiology : official journal of the German Cardiac Society · 2022Article
- Exercise rehabilitation associates with lower mortality and hospitalisation in cardiovascular disease patients with COVID-19.European journal of preventive cardiology · 2022Article
- Comparative 1-Year Outcomes of Invasive Staphylococcus aureus Infections Among Persons With and Without Drug Use: An Observational Cohort Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022Observational
- Atrial Fibrillation in Patients With Cardiomyopathy: Prevalence and Clinical Outcomes From Real-World Data.Journal of the American Heart Association · 2021Article
- Prevalence and clinical outcomes of myocarditis and pericarditis in 718,365 COVID-19 patients.European journal of clinical investigation · 2021Article
- Underlying Medical Conditions and Severe Illness Among 540,667 Adults Hospitalized With COVID-19, March 2020-March 2021.Preventing chronic disease · 2021Article
- Exercise-Based Cardiac Rehabilitation and All-Cause Mortality Among Patients With Atrial Fibrillation.Journal of the American Heart Association · 2021Observational
- Atrial fibrillation and the risk of 30-day incident thromboembolic events, and mortality in adults ≥ 50 years with COVID-19.Journal of arrhythmia · 2021Article
- End-Stage renal disease and 30-day mortality for adults with and without COVID-19.European journal of internal medicine · 2021Article
- Comorbidities associated with mortality in 31,461 adults with COVID-19 in the United States: A federated electronic medical record analysis.PLoS medicine · 2020Article
- Validation and Comparison of a Modified Elixhauser Index for Predicting In-Hospital Mortality in Italian Internal Medicine Wards.Risk management and healthcare policy · 2020Article
- Reliability of comorbidity scores derived from administrative data in the tertiary hospital intensive care setting: a cross-sectional study.BMJ health & care informatics · 2019Article
- Predicting need for advanced illness or palliative care in a primary care population using electronic health record data.Journal of biomedical informatics · 2019Article
- The Relative Ability of Comorbidity Ascertainment Methodologies to Predict In-Hospital Mortality Among Hospitalized Community-acquired Pneumonia Patients.Medical care · 2018Observational
- Multimorbidity in Australia: Comparing estimates derived using administrative data sources and survey data.PloS one · 2017Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe use of comorbidities in risk adjustment for health outcomes research is frequently necessary to explain some of the observed variations. Medical charts reviews to obtain information on comorbidities is laborious. Increasingly, electronic health care databases have provided an alternative for health services researchers to obtain comorbidity information. However, the rates obtained from databases may be either over- or under-reported. This study aims to (a) quantify the agreement between administrative data and medical charts review across a set of comorbidities; and (b) examine the factors associated with under- or over-reporting of comorbidities by administrative data.
methodsThis is a retrospective cross-sectional study of patients aged 55 years and above, hospitalized for pneumonia at 3 acute care hospitals. Information on comorbidities were obtained from an electronic administrative database and compared with information from medical charts review. Logistic regression was performed to identify factors that were associated with under- or over-reporting of comorbidities by administrative data.
resultsThe prevalence of almost all comorbidities obtained from administrative data was lower than that obtained from medical charts review. Agreement between comorbidities obtained from medical charts and administrative data ranged from poor to very strong (kappa 0.01 to 0.78). Factors associated with over-reporting of comorbidities were increased length of hospital stay, disease severity, and death in hospital. In contrast, those associated with under-reporting were number of comorbidities, age, and hospital admission in the previous 90 days.
conclusionsThe validity of using secondary diagnoses from administrative data as an alternative to medical charts for identification of comorbidities varies with the specific condition in question, and is influenced by factors such as age, number of comorbidities, hospital admission in the previous 90 days, severity of illness, length of hospitalization, and whether inhospital death occurred. These factors need to be taken into account when relying on administrative data for comorbidity information.
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