Evidence map›Paper›PMID 38190179›Full record

ArticleJAMA internal medicine2024

Population-Based Trends in Complexity of Hospital Inpatients.

Hiten Naik, Tyler M Murray, Mayesha Khan, Daniel Daly-Grafstein, Guiping Liu, Barry O Kassen, Jake Onrot, Jason M Sutherland, John A Staples

Open access · greenAbstract read
In one paragraph

Article in JAMA internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
41.4field-weighted citation impact, top 1% of its field
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

62 citing papers in PubMed, 107 citations in OpenAlex.

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  11. Hospital-Based Robotic Applications in Nursing Practice: A Scoping Review.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2026
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2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Hiten NaikDepartment of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada.
Tyler M MurrayDepartment of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada.
Mayesha KhanDepartment of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada.
Daniel Daly-GrafsteinDepartment of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada.
Guiping LiuCenter for Health Services and Policy Research (CHSPR), School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada.
Barry O KassenDepartment of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada.
Jake OnrotDepartment of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada.
Jason M SutherlandCenter for Health Services and Policy Research (CHSPR), School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada.
John A StaplesDepartment of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada.
University of British Columbia · CACentre for Advancing Health Outcomes · CA

Funding

CIHR
6 · The paper itself

Abstract

Importance: Clinical experience suggests that hospital inpatients have become more complex over time, but few studies have evaluated this impression. Objective: To assess whether there has been an increase in measures of hospital inpatient complexity over a 15-year period. Design, Setting and Participants: This cohort study used population-based administrative health data from nonelective hospitalizations from April 1, 2002, to January 31, 2017, to describe trends in the complexity of inpatients in British Columbia, Canada. Hospitalizations were included for individuals 18 years and older and for which the most responsible diagnosis did not correspond to pregnancy, childbirth, the puerperal period, or the perinatal period. Data analysis was performed from July to November 2023. Exposure: The passage of time (15-year study interval). Main Outcomes and Measures: Measures of complexity included patient characteristics at the time of admission (eg, advanced age, multimorbidity, polypharmacy, recent hospitalization), features of the index hospitalization (eg, admission via the emergency department, multiple acute medical problems, use of intensive care, prolonged length of stay, in-hospital adverse events, in-hospital death), and 30-day outcomes after hospital discharge (eg, unplanned readmission, all-cause mortality). Logistic regression was used to estimate the relative change in each measure of complexity over the entire 15-year study interval. Results: The final study cohort included 3 367 463 nonelective acute care hospital admissions occurring among 1 272 444 unique individuals (median [IQR] age, 66 [48-79] years; 49.1% female and 50.8% male individuals). Relative to the beginning of the study interval, inpatients at the end of the study interval were more likely to have been admitted via the emergency department (odds ratio [OR], 2.74; 95% CI, 2.71-2.77), to have multimorbidity (OR, 1.50; 95% CI, 1.47-1.53) and polypharmacy (OR, 1.82; 95% CI, 1.78-1.85) at presentation, to receive treatment for 5 or more acute medical issues (OR, 2.06; 95% CI, 2.02-2.09), and to experience an in-hospital adverse event (OR, 1.20; 95% CI, 1.19-1.22). The likelihood of an intensive care unit stay and of in-hospital death declined over the study interval (OR, 0.96; 95% CI, 0.95-0.97, and OR, 0.81; 95% CI, 0.80-0.83, respectively), but the risks of unplanned readmission and death in the 30 days after discharge increased (OR, 1.14; 95% CI, 1.12-1.16, and OR, 1.28; 95% CI, 1.25-1.31, respectively). Conclusions and Relevance: By most measures, hospital inpatients have become more complex over time. Health system planning should account for these trends.

Indexed as

InpatientsPatient ReadmissionAgedCohort StudiesDelivery of Health CareFemaleHospital MortalityHospitalsHumansMaleWorkforce

Identifiers

PMID38190179
PMCPMC10775081
OpenAlexW4390662004

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.