Evidence map›Paper›PMID 34084319›Full record

ArticleInternational journal of preventive medicine2021

Designing an Elderly Hospital Admission Risk Prediction Model in Iran's Hospitals.

Mohammad R Maleki, Farzaneh Doosty, Mohammad H Yarmohammadian, Vahid Rasi, Elizabeth Ibby Tanner

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Article in International journal of preventive medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Mohammad R MalekiSchool of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Farzaneh DoostyHealth Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran.
Mohammad H YarmohammadianHealth Management and Economic Research Center, Health Services Administration, Isfahan University of Medical Sciences, Isfahan, Iran.
Vahid RasiHealth Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran.
Elizabeth Ibby TannerInterprofessional Education and Practice, Center for Innovative Care in Aging Johns Hopkins School of Nursing, Baltimore, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe identification of elderly at risk of new functional disabilities in activities of daily living at admission to the hospital may facilitate referral for purposive interventions to prevent decline and institutionalization. This study was aimed at designing a risk prediction model for identifying the elderly at risk of admission in Iran's hospitals. MATERIALS AND

methodsThis is a cross-sectional descriptive study conducted in 2017. In order to formulate and validate a prediction model, the study was done in two development and validation cohort study. Functional decline was defined as a decline of at least one point on the Katz ADL index at follow-up compared with preadmission status.

resultsIn development cohort, the mean age was 71 years including 54% of men and 46% women, 22% of men and 17% of women experienced functional decline after 3 months. In the validation cohort, the mean age was 70 years, including 49% of men and 51% women, 19% of men and 15% of women, functional decline after 3 months was observed.

conclusionOn the basis of the findings, aging at risk of hospital admission can be identified by easy designed model with four questions: (1) Is the patient's age more than 85 years? (2) Does the patient's mini mental status <22? (3) Does the patient need help for using general transporting? (4) Has the patient lost weight <5% over the past 6 months and body mass index <18.5? And also geriatrics experts can use the designed model as a predictive tool in order to improve the quality level of healthcare services to elderly as a vulnerable and high risk group. The important point of model is easy to use even for nonspecialists.

Indexed as

AdmissionagedhospitalsIranrisk

Identifiers

PMID34084319
PMCPMC8106286

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