# ESTIMATES, PREDICTORS AND OUTCOMES OF BEHAVIOR PROBLEMS

> **NIH NIH R01** · SYSTEMETRICS/MC GRAW HILL · 1991 · $145,100

## Abstract

This study is designed to identity some of the underlying mechanisms that
contribute to the etiology of behavior problems.  The purpose of this study
is threefold:  1) To estimate the incidence and prevalence of behavior
problems in the institutionalized long-term care population; 2) To identify
the resident and facility correlates and predictors of behavior problems in
this population; and 3) To explore the extent to which behavior problems
result in hospitalizations and "dumping" (transfer) to other long-term care
facilities.

Because the prevalence of behavior problems is greater among those in
institutions than among those living in the community, this study will
focus on residents in nursing homes and personal care homes.  Data from the
Institutional Component of the 1987 National Medical Expenditures Survey, a
nationally representative longitudinal survey of current residents and new
admissions to nursing and personal care homes, will be used.

These data will permit the generation of estimates of behavior problems for
the US nursing home population by subjects, thus providing preliminary
information on the characteristics of persons who may be at greater risk of
behavioral problems.  Data from current residents will be the basis of
prevalence estimates and information on new admissions will provide the
basis for incidence (new cases) estimates (i.e., persons without behavior
problems at admission who later develop behavior problems).

Subsequent analyses will include multivariate regression analyses to
identify the risk factors of behavior problems.  Potential risk factors to
be included in these models include resident characteristics of age, sex,
race, functional status, incontinence, medical diagnoses/conditions,
psychotropic medications, and socialization patterns.  Risk factors related
to the facility (environmental risk factors) will include facility size,
ownership, capacity, type and scope of services provided, resident
turnover, percent of private pay residents, presence/type of Alzheimer's
units, per diem rate, and staff-patient ratios.  Variables derived from
these data items at baseline will be used in models predicting behavior
problems at follow-up (i.e., 3-9 months later).

To assess the impact of behavior problems on risk of hospitalization and
"dumping", regression equations will also be estimated where behavior
problems become the independent variable and the dependent variable will be
utilization or transfer to another facility.  Using multiple regression
techniques, the independent effect of each risk factor can be ascertained,
controlling for other risk factors.

The NMES data has only recently been made available and provides a unique
opportunity to explore the risk factors associated with behavior problems
in a nationally representative sample with longitudinal data using
multivariate techniques.

## Key facts

- **NIH application ID:** 3122561
- **Project number:** 1R01AG010641-01
- **Recipient organization:** SYSTEMETRICS/MC GRAW HILL
- **Principal Investigator:** MARY E JACKSON
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 1991
- **Award amount:** $145,100
- **Award type:** 1
- **Project period:** 1991-09-30 → 1994-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/3122561

## Citation

> US National Institutes of Health, RePORTER application 3122561, ESTIMATES, PREDICTORS AND OUTCOMES OF BEHAVIOR PROBLEMS (1R01AG010641-01). Retrieved via MORVS 2026-10-25 from https://api.morvs.ai/grant/nih/3122561. Licensed CC0.

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