Population-Based Trends in Complexity of Hospital Inpatients

Author:

Naik Hiten1,Murray Tyler M.1,Khan Mayesha1,Daly-Grafstein Daniel12,Liu Guiping3,Kassen Barry O.1,Onrot Jake1,Sutherland Jason M.34,Staples John A.15

Affiliation:

1. Department of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada

2. Department of Statistics, The University of British Columbia, Vancouver, British Columbia, Canada

3. Center for Health Services and Policy Research (CHSPR), School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada

4. Centre for Advancing Health Outcomes, Vancouver, British Columbia, Canada

5. Centre for Clinical Epidemiology & Evaluation (C2E2), Vancouver, British Columbia, Canada

Abstract

ImportanceClinical experience suggests that hospital inpatients have become more complex over time, but few studies have evaluated this impression.ObjectiveTo assess whether there has been an increase in measures of hospital inpatient complexity over a 15-year period.Design, Setting and ParticipantsThis 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.ExposureThe passage of time (15-year study interval).Main Outcomes and MeasuresMeasures 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.ResultsThe 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 RelevanceBy most measures, hospital inpatients have become more complex over time. Health system planning should account for these trends.

Publisher

American Medical Association (AMA)

Subject

Internal Medicine

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