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Comment
. 2023 Aug 1;183(8):784-792.
doi: 10.1001/jamainternmed.2023.2149.

Association of Functional Status, Cognition, Social Support, and Geriatric Syndrome With Admission From the Emergency Department

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Comment

Association of Functional Status, Cognition, Social Support, and Geriatric Syndrome With Admission From the Emergency Department

Peter B Smulowitz et al. JAMA Intern Med. .

Abstract

Importance: The role of patient-level factors that are unrelated to the specific clinical condition leading to an emergency department (ED) visit, such as functional status, cognitive status, social supports, and geriatric syndromes, in admission decisions is not well understood, partly because these data are not available in administrative databases.

Objective: To determine the extent to which patient-level factors are associated with rates of hospital admission from the ED.

Design, setting, and participants: This cohort study analyzed survey data collected from participants (or their proxies, such as family members) enrolled in the Health and Retirement Study (HRS) from January 1, 2000, to December 31, 2018. These HRS data were linked to Medicare fee-for-service claims data from January 1, 1999, to December 31, 2018. Information on functional status, cognitive status, social supports, and geriatric syndromes was obtained from the HRS data, whereas ED visits, subsequent hospital admission or ED discharge, and other claims-derived comorbidities and sociodemographic characteristics were obtained from Medicare data. Data were analyzed from September 2021 to April 2023.

Main outcomes and measures: The primary outcome measure was hospital admission after an ED visit. A baseline logistic regression model was estimated, with a binary indicator of admission as the dependent variable of interest. For each primary variable of interest derived from the HRS data, the model was reestimated, including the HRS variable of interest as an independent variable. For each of these models, the odds ratio (OR) and average marginal effect (AME) of changing the value of the variable of interest were calculated.

Results: A total of 42 392 ED visits by 11 783 unique patients were included. At the time of the ED visit, patients had a mean (SD) age of 77.4 (9.6) years, and visits were predominantly for female (25 719 visits [60.7%]) and White (32 148 visits [75.8%]) individuals. The overall percentage of patients admitted was 42.5%. After controlling for ED diagnosis and demographic characteristics, functional status, cognition status, and social supports all were associated with the likelihood of admission. For instance, difficulty performing 5 activities of daily living was associated with an 8.5-percentage point (OR, 1.47; 95% CI, 1.29-1.66) AME increase in the likelihood of admission. Having dementia was associated with an AME increase in the likelihood of admission of 4.6 percentage points (OR, 1.23; 95% CI, 1.14-1.33). Living with a spouse was associated with an AME decrease in the likelihood of admission of 3.9 percentage points (OR, 0.84; 95% CI, 0.79-0.89), and having children living within 10 miles was associated with an AME decrease in the likelihood of admission of 5.0 percentage points (OR, 0.80; 95% CI, 0.71-0.89). Other common geriatric syndromes, including trouble falling asleep, waking early, trouble with vision, glaucoma or cataract, use of hearing aids or trouble with hearing, falls in past 2 years, incontinence, depression, and polypharmacy, were not meaningfully associated with the likelihood of admission.

Conclusion and relevance: Results of this cohort study suggest that the key patient-level characteristics, including social supports, cognitive status, and functional status, were associated with the decision to admit older patients to the hospital from the ED. These factors are critical to consider when devising strategies to reduce low-value admissions among older adult patients from the ED.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr. Smulowitz reported receiving grants from the Agency for Healthcare Research and Quality (AHRQ) outside the submitted work. Dr McWilliams reported receiving personal fees from RTI International, Oak Ridge Associated Universities, and The ACI Group Inc; being Associate Editor of JAMA Internal Medicine; and serving as an unpaid member of the board of directors for the Institute for Accountable Care outside the submitted work. Dr O'Malley reported receiving grants from the National Institutes of Health outside the submitted work. Dr. Landon reported receiving personal fees from RTI International, Freedman Healthcare Consulting, and UpToDate and grants from the National Institutes of Aging and the AHRQ outside the submitted work. No other disclosures were reported.

Figures

Figure.
Figure.. Estimated Likelihood of Emergency Department Admission for Clinical Vignettes
ADLs indicates activities of daily living; IADLs, instrumental activities of daily living.

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References

    1. Morganti KG, Bauhoff S, Blanchard JC, et al. . The evolving role of emergency departments in the United States. Rand Health Q. 2013;3(2):3. - PMC - PubMed
    1. Agency for Healthcare Quality and Research . Health Care Cost and Utilization Project. Accessed March 12, 2021. http://hcupnet.ahrq.gov
    1. Barnett ML, Hsu J, McWilliams JM. Patient characteristics and differences in hospital readmission rates. JAMA Intern Med. 2015;175(11):1803-1812. doi:10.1001/jamainternmed.2015.4660 - DOI - PMC - PubMed
    1. Johnston KJ, Wen H, Schootman M, Joynt Maddox KE. Association of patient social, cognitive, and functional risk factors with preventable hospitalizations: implications for physician value-based payment. J Gen Intern Med. 2019;34(8):1645-1652. doi:10.1007/s11606-019-05009-3 - DOI - PMC - PubMed
    1. Johnston KJ, Wen H, Hockenberry JM, Joynt Maddox KE. Association between patient cognitive and functional status and Medicare total annual cost of care: implications for value-based payment. JAMA Intern Med. 2018;178(11):1489-1497. doi:10.1001/jamainternmed.2018.4143 - DOI - PMC - PubMed

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