ICD-10 codes are a valid tool for identification of pneumonia in hospitalized patients aged ⩾65 years

Skull, Sue; Andrews, Ross M.; Byrnes, Graham; Campbell, Donald; Nolan, Terry; Brown, Graham V.; Kelly, Heath

doi:10.1017/s0950268807008564

Cited by 128 publications

(128 citation statements)

References 25 publications

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“…Second, administrative data were used to identify recurrent CAP events. Although some misclassification may have occurred, the ICD codes used have very high sensitivity and specificity for CAP-related hospital admissions [23,24]. Third, our results may not necessarily be generalised to broader population-based studies that tend to include healthier and lower-risk patients with pneumonia who never become ill enough to require hospital admission and may not be followed as closely post discharge.…”

Section: Discussionmentioning

confidence: 87%

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Dysglycaemia and 90 day and 1 year risks of death or readmission in patients hospitalised for community-acquired pneumonia

et al. 2009

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Section: Discussionmentioning

confidence: 87%

“…Specifically, we evaluated rehospitalisations for CAP within 1 year, defined as a hospital readmission with a most responsible discharge diagnosis of [17,21,22]. These ICD diagnostic codes are highly accurate (98% sensitivity and 97% specificity) for the identification of pneumonia compared with medical charts [3,23,24].…”

Section: Methodsmentioning

confidence: 99%

Dysglycaemia and 90 day and 1 year risks of death or readmission in patients hospitalised for community-acquired pneumonia

et al. 2009

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“…When examining community-acquired infections, exclusion of a hospitalisation within at least three months prior to episode of interest should be retained to ensure the episode truly is community-acquired. 38,39 Limitations of this Review: A limitation of this review was the lack of findings on potential causes for CAP. Seasonal variations in admissions for CAP may be directly related to seasonal variations in pathogen exposure.…”

Section: Limitations Of Included Studiesmentioning

confidence: 99%

“…The efficacy associated with using ICD-10-CM codes to accurately identify a diagnosis of pneumonia has been validated. 24,38 Any future study examining pneumonia in isolation would warrant using the revised version (ICD-10-CM) and limiting inclusion to codes which are specific to pneumonia.…”

Section: Limitations Of Included Studiesmentioning

confidence: 99%

What is the seasonal distribution of community acquired pneumonia over time? A systematic review

Murdoch

Mitra

Lambert

et al. 2014

Australasian Emergency Nursing Journal

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SummaryBackground: Community-acquired pneumonia (CAP) is a growing public health concern in many developed countries including Australia. CAP account for an estimated two percent of all overnight hospital admissions in Australia. Despite the significant burden on the Australian healthcare system and the high level of morbidity and mortality associated with CAP, there has been a paucity of research on the incidence of disease in this country, particularly in relation to seasonal variation of emergency department presentations and subsequent admission. Methods: The following search terms were used: community-acquired AND pneumonia AND/OR seasonal AND season AND/OR variation OR differences. The limits used for the search terms included: ''All Adult''; the years 1948 to current or 1948 to week 1 May 2012, (depending on the database); English language; and with full text. The databases searched included MEDLINE, Embase and CINAHL. Results: Distinct seasonal patterns in the occurrence of CAP were observed: 34% of CAP admissions occurred in spring; 18% in autumn; 26% in winter; and 22% in summer (p = 0.036). Hospital admissions for CAP were significantly higher in the winter and spring (p = <0.001) and highest in December (20.5%) and January (25.1%). Peak hospitalisations from January through to April were observed. The included studies were conducted in the northern hemisphere where the months December to February relate to winter. * Corresponding author at: School of Public Health, La Trobe University, Bundoora, Victoria 3086, Australia.

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“…Though we relied on claims data to assign diagnoses to admissions, administrative codes have been validated for cardiovascular and pulmonary diagnoses. [51][52][53] We did not exclude all potential planned readmissions such as those for treatment with chemotherapy or radiotherapy. However, we did not expect these elective admissions to be common soon after incident heart failure, myocardial infarction, or major infection such as pneumonia.…”

Section: Study Limitationsmentioning

confidence: 99%

Hospital readmission performance and patterns of readmission: retrospective cohort study of Medicare admissions

Dharmarajan

Hsieh

Lin

et al. 2013

BMJ

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Objectives To determine whether high performing hospitals with low 30 day risk standardized readmission rates have a lower proportion of readmissions from specific diagnoses and time periods after admission or instead have a similar distribution of readmission diagnoses and timing to lower performing institutions.Design Retrospective cohort study.Setting Medicare beneficiaries in the United States.Participants Patients aged 65 and older who were readmitted within 30 days after hospital admission for heart failure, acute myocardial infarction, or pneumonia in 2007-09. Main outcome measuresReadmission diagnoses were classified with a modified version of the Centers for Medicare and Medicaid Services' condition categories, and readmission timing was classified by day (0-30) after hospital discharge. Hospital 30 day risk standardized readmission rates over the three years of study were calculated with public reporting methods of the US federal government, and hospitals were categorized with bootstrap analysis as having high, average, or low readmission performance for each index condition. High and low performing hospitals had ≥95% probability of having an interval estimate respectively less than or greater than the national 30 day readmission rate over the three year period of study. All remaining hospitals were considered average performers.Results For readmissions in the 30 days after the index admission, there were 320 003 after 1 291 211 admissions for heart failure (4041 hospitals), 102 536 after 517 827 admissions for acute myocardial infarction (2378 hospitals), and 208 438 after 1 135 932 admissions for pneumonia (4283 hospitals). The distribution of readmissions by diagnosis was similar across categories of hospital performance for all three conditions. High performing hospitals had fewer readmissions for all common diagnoses. Median time to readmission was similar by hospital performance for heart failure and acute myocardial infarction, though was 1.4 days longer among high versus low performing hospitals for pneumonia (P<0.001). Findings were unchanged after adjustment for other hospital characteristics potentially associated with readmission patterns.Conclusions High performing hospitals have proportionately fewer 30 day readmissions without differences in readmission diagnoses and timing, suggesting the possible benefit of strategies that lower risk of readmission globally rather than for specific diagnoses or time periods after hospital stay.

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ICD-10 codes are a valid tool for identification of pneumonia in hospitalized patients aged ⩾65 years

Cited by 128 publications

References 25 publications

Dysglycaemia and 90 day and 1 year risks of death or readmission in patients hospitalised for community-acquired pneumonia

Dysglycaemia and 90 day and 1 year risks of death or readmission in patients hospitalised for community-acquired pneumonia

What is the seasonal distribution of community acquired pneumonia over time? A systematic review

Hospital readmission performance and patterns of readmission: retrospective cohort study of Medicare admissions

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