Small Area Estimation of Dependency: Final Report. ATTACHMENT: Software to Produce Small Area Regression-Adjusted Synthetic Estimates of Functional Dependency Among the Elderly

01/13/1989

Prepared by

Jane D. Darter1
Jennifer M. Elston2
William G. Weisssert3

of the
Program on Aging
School of Public Health
The University of North Carolina at Chapel Hill

Under ASPE Grant No. 87ASPE181A,
Assistant Secretary for Planning and Evaluation
United States Department of Health and Human Services
Floyd Brown, Project Office

SMALL AREA REGRESSION-ADJUSTED SYNTHETIC ESTIMATES
OF FUNCTIONAL DEPENDENCY

Produced by

Program on Aging
School of Public Health
The University of North Carolina

Under ASPE Grant No. 87ASPE181A

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INTRO 1 OF 6

OldEst is designed for use in planning long-term care services for the elderly in your community.

OldEst estimates the noninstitutionalized elderly population in your community who are functionally dependent. OldEst provides ranges of estimates based on the age, sex, race, and the percentage of the community’s elderly population that resides in poverty.

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INTRO 2 OF 6

The University of North Carolina School of Public Health, Program on Aging, and the United States Department of Health and Human Services, the Assistant Secretary for Planning and Evaluation (DHHS-ASPE) make no warranty or claim, either directly or implied, with respect to this software as to its performance or appropriateness of its use. Because this is a complicated program and may not be completely error free, you should carefully review and verify any results obtained. In no event are either the University of North Carolina or the DHHS-ASPE liable for direct, indirect, incidental or consequential damages from the use of this program or documentation. Neither party above is responsible for any costs incurred, losses sustained, loss of data or computer use, or other claims resulting from the use of this software program.

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INTRO 3 OF 6

OldEst estimates two levels of functional dependency:

Activities of Daily Living (ADL):

ADL dependent individuals report difficulty with and receive human assistance with eating, transferring, toileting, dressing, or bathing.

Mobility/Instrumental Activities of Daily Living (IADL):

IADL dependent individuals report difficulty with and receive human assistance with inside and outside mobility, meal preparation, grocery shopping, money management, light and heavy housework, or using the telephone.

Summing the ADL and IADL estimates yields estimates of the total dependent population. In addition to ADL, IADL and total dependent population point estimates, OldEst will also produce expected ranges for each of these estimates.

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INTRO 4 OF 6

OldEst computes estimates using a statistical formula developed from national data reported in 1984. (Detailed information about OldEst calculations is included in your OldEst manual.)

OldEst makes estimates based upon two assumptions. First, that age, sex, race, and poverty-specific disability rates have not changed between 1984 and the year of your community data. Second, that the relationship between dependency and age, sex, race, and the percent of the elderly residing in poverty is the same as national averages. Thus, the estimates will err to the extent that the relationship between dependency and age, sex, race, and poverty in your community have changed over time, and to the extent that the relationships vary from the national averages.

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INTRO 5 OF 6

To produce dependency estimates for the elderly in your community, you will be asked to enter the following information:

COMMUNITY NAME: ____________________ YEAR: __________
NONINSTITUTIONALIZED or TOTAL ELDERLY POP. BY RACE, SEX, AND AGE
RACE SEX 65-69 70-74 75-79 80-84 85 & Over
White Male          
Female          
Nonwhite Male          
Female          

Percent of the communitys elderly population residing in poverty _____

Press   I   for future information, or any other key to go to MAINMENU:

 

INTRO 6 OF 6

Ideally, your data should be for the noninstitutionalized elderly population. However, if you only have total elderly population data, OldEst will adjust your data to be representative of the noninstitutionalized elderly population. For details on how this adjustment is computed please consult the OldEst manual.

Information (age, sex, race, and poverty) on the community population is available from a variety of sources:

State Offices on Aging
State Health and Vital Statistics
State and Area Offices on Aging
Regional Planning Commission
United States Census Bureau Data

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MAIN MENU

1. INTRO (Introduction, and description); 2. ENTRY (Enter population by race, sex & age or use stored data); 3. DISPLAY/PRINT (View ADL and IADL estimates on screen, or print summaries); 4. EXIT (Exit program).

Please enter the number corresponding to your choice: _____

 

ENTRY MENU

1 .. Enter new community data

2 .. Retrieve existing data

3 .. Edit current data

4 .. Return to MAINMENU
 

Please enter the number corresponding to your choice: _____

 

Please enter the following information about your community:

COMMUNITY NAME: ____________________ YEAR: __________
Are these NONINSTITUTIONALIZED or TOTAL population numbers? (N/T): __________
RACE SEX 65-69 70-74 75-79 80-84 85 & Over
White Male          
Female          
Nonwhite Male          
Female          

Percent of elderly population residing in poverty _____

Use the keys to move cursor around screen.

Do you wish to save this data permanently? (Y/N) _____.

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Select already existing community data

   COMMUNITY NAME YEAR PERCENT POVERTY
       
       
       
       

Please enter the number corresponding to your choice: _____

 

DISPLAY/PRINT MENU

COMMUNITY: _________________________

1 .. DISPLAY Population Summary
2 .. DISPLAY ADL Estimates
3 .. DISPLAY IADL Estimates
4 .. DISPLAY TOTAL Estimates

A .. PRINT Population Summary
B .. PRINT ADL Estimates
C .. PRINT IADL Estimates
D .. PRINT TOTAL Estimates
E .. RETURN TO MAINMENU

Please enter the number or letter corresponding to your choice: _____

 

ADL DEPENDENT POINT ESTIMATES

For _________________________, _____
RACE SEX 65-69 70-74 75-79 80-84 85 & Over 65 & Over
White Male            
Female            
Both            
Nonwhite Male            
Female            
Both            
All Races Male            
Female            
Both            

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