Evidence map›Paper›PMID 30054888›Full record

ArticleJournal of general internal medicine2018

Prevalence and Costs of Discharge Diagnoses in Inpatient General Internal Medicine: a Multi-center Cross-sectional Study.

Amol A Verma, Yishan Guo, Janice L Kwan, Lauren Lapointe-Shaw, Shail Rawal, Terence Tang, Adina Weinerman, Fahad Razak

Abstract readMulticenter Study
In one paragraph

Article in Journal of general internal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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.

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

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

  1. Pooled it
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  7. Physician antimicrobial prescribing and patient outcomes on general medical wards: a multicentre retrospective cohort study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2023
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  17. CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2021
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  19. Characteristics and outcomes of hospital admissions for COVID-19 and influenza in the Toronto area.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Amol A VermaLi Ka Shing Knowledge Institute, St. Michael's Hospital, Room 714-3, 2 Queen St. East, Toronto, Ontario, M5C 3G7, Canada. amol.verma@mail.utoronto.ca.
Yishan GuoLi Ka Shing Knowledge Institute, St. Michael's Hospital, Room 714-3, 2 Queen St. East, Toronto, Ontario, M5C 3G7, Canada.
Janice L KwanDepartment of Medicine, University of Toronto, Toronto, Canada.
Lauren Lapointe-ShawDepartment of Medicine, University of Toronto, Toronto, Canada.
Shail RawalDepartment of Medicine, University of Toronto, Toronto, Canada.
Terence TangDepartment of Medicine, University of Toronto, Toronto, Canada.
Adina WeinermanDepartment of Medicine, University of Toronto, Toronto, Canada.
Fahad RazakLi Ka Shing Knowledge Institute, St. Michael's Hospital, Room 714-3, 2 Queen St. East, Toronto, Ontario, M5C 3G7, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding the most common and costly conditions treated by inpatient general medical services is important for implementing quality improvement, developing health policy, conducting research, and designing medical education.

objectiveTo determine the prevalence and cost of conditions treated on general internal medicine (GIM) inpatient services.

designRetrospective cross-sectional study involving 7 hospital sites in Toronto, Canada.

participantsAll patients discharged between April 1, 2010 and March 31, 2015 who were admitted to or discharged from an inpatient GIM service. MAIN MEASURES: Hospital administrative data were used to identify diagnoses and costs associated with admissions. The primary discharge diagnosis was identified for each admission and categorized into clinically relevant and mutually exclusive categories using the Clinical Classifications Software (CCS) tool. KEY

resultsAmong 148,442 admissions, the most common primary discharge diagnoses were heart failure (5.1%), pneumonia (5.0%), urinary tract infection (4.6%), chronic obstructive pulmonary disease (4.5%), and stroke (4.4%). The prevalence of the 20 most common conditions was significantly correlated across hospitals (correlation coefficients ranging from 0.55 to 0.95, p ≤ 0.01 for all comparisons). No single condition represented more than 5.1% of all admissions or more than 7.9% of admissions at any hospital site. The costliest conditions were stroke (median cost $7122, interquartile range 5587-12,354, total cost $94,199,422, representing 6.0% of all costs) and the group of delirium, dementia, and cognitive disorders (median cost $12,831, IQR 9539-17,509, total cost $77,372,541, representing 4.9% of all costs). The 10 most common conditions accounted for only 36.2% of hospitalizations and 36.8% of total costs. The remaining hospitalizations included 223 different CCS conditions.

conclusionsGIM services care for a markedly heterogeneous population but the most common conditions were similar across 7 hospitals. The diversity of conditions cared for in GIM may be challenging for healthcare delivery and quality improvement. Initiatives that cut across individual diseases to address processes of care, patient experience, and functional outcomes may be more relevant to a greater proportion of the GIM population than disease-specific efforts.

Indexed as

Health Care CostsAgedAged, 80 and overCross-Sectional StudiesFemaleGeneral PracticeHospitalizationHumansInternal MedicineMaleMiddle AgedPatient DischargePrevalenceRetrospective Studiescostdiagnoseshealth services researchhospitalistinternal medicine

Identifiers

PMID30054888
PMCPMC6206337

What OpenQuestion holds

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Registered trials

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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.