Is use of hospital services a proxy for morbidity? A small area comparison of the prevalence of arthritis, depression, dyspepsia, obesity, and respiratory disease with inpatient admission rates for these disorders in England

OBJECTIVES--To examine the relationship between specific types of morbidity, measured by validated survey questions, and hospital service use and mortality to see if the latter two could act as a proxy in health needs assessment, health service planning, and resource allocation in a typical health d...

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Published inJournal of epidemiology and community health (1979) Vol. 48; no. 1; pp. 74 - 78
Main Authors Payne, J N, Coy, J, Patterson, S, Milner, P C
Format Journal Article
LanguageEnglish
Published London BMJ Publishing Group Ltd 01.02.1994
British Medical Association
BMJ
BMJ Publishing Group LTD
Subjects
Online AccessGet full text
ISSN0143-005X
1470-2738
DOI10.1136/jech.48.1.74

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Abstract OBJECTIVES--To examine the relationship between specific types of morbidity, measured by validated survey questions, and hospital service use and mortality to see if the latter two could act as a proxy in health needs assessment, health service planning, and resource allocation in a typical health district. DESIGN--A postal questionnaire was used to provide information about depression, digestive disorders, musculo-skeletal disorders, obesity, respiratory disease, and hip and knee pain. The questions were from survey instruments that have been widely used to derive information about these conditions. The relationships between the prevalence of these specific types of morbidity and appropriate admission and mortality rates were explored using linear regression and Pearson correlation analysis. SETTING--The population of Rotherham health district, England. SUBJECTS--A simple random sample of the residents of each of the 22 electoral wards in Rotherham health district. RESULTS--Responses were obtained from 78% of the 5000 sampled (82% after excluding people who had moved house or died). Significant, positive correlations were found between the prevalence of respiratory disease and the hospital admission and mortality rates for respiratory problems (r = 0.68, p < 0.01 and r = 0.54, p < 0.01) and the prevalence of depression and the admission rate for depression (r = 0.52, p < 0.05). No such relations were found for digestive disease, musculo-skeletal disease, and obesity. For the conditions examined here, hospital service use was a more useful measure than mortality. CONCLUSIONS--Only two diseases (respiratory disease and depression) out of the seven diseases or procedures investigated showed a positive correlation between hospital admission and disease prevalence. But even for these two, the correlations explained less than 50% of the variance. Caution must be exercised when hospital service use is being considered as a proxy for morbidity.
AbstractList OBJECTIVES--To examine the relationship between specific types of morbidity, measured by validated survey questions, and hospital service use and mortality to see if the latter two could act as a proxy in health needs assessment, health service planning, and resource allocation in a typical health district. DESIGN--A postal questionnaire was used to provide information about depression, digestive disorders, musculo-skeletal disorders, obesity, respiratory disease, and hip and knee pain. The questions were from survey instruments that have been widely used to derive information about these conditions. The relationships between the prevalence of these specific types of morbidity and appropriate admission and mortality rates were explored using linear regression and Pearson correlation analysis. SETTING--The population of Rotherham health district, England. SUBJECTS--A simple random sample of the residents of each of the 22 electoral wards in Rotherham health district. RESULTS--Responses were obtained from 78% of the 5000 sampled (82% after excluding people who had moved house or died). Significant, positive correlations were found between the prevalence of respiratory disease and the hospital admission and mortality rates for respiratory problems (r = 0.68, p < 0.01 and r = 0.54, p < 0.01) and the prevalence of depression and the admission rate for depression (r = 0.52, p < 0.05). No such relations were found for digestive disease, musculo-skeletal disease, and obesity. For the conditions examined here, hospital service use was a more useful measure than mortality. CONCLUSIONS--Only two diseases (respiratory disease and depression) out of the seven diseases or procedures investigated showed a positive correlation between hospital admission and disease prevalence. But even for these two, the correlations explained less than 50% of the variance. Caution must be exercised when hospital service use is being considered as a proxy for morbidity.
Objectives - To examine the relationship between specific types of morbidity, measured by validated survey questions, and hospital service use and mortality to see if the latter two could act as a proxy in health needs assessment, health service planning, and resource allocation in a typical health district. Design - A postal questionnaire was used to provide information about depression, digestive disorders, musculo-skeletal disorders, obesity, respiratory disease, and hip and knee pain. The questions were from survey instruments that have been widely used to derive information about these conditions. The relationships between the prevalence of these specific types of morbidity and appropriate admission and mortality rates were explored using linear regression and Pearson correlation analysis. Setting - The population of Rotherham health district, England. Subjects - A simple random sample of the residents of each of the 22 electoral wards in Rotherham health district. Results - Responses were obtained from 78% of the 5000 sampled (82% after excluding people who had moved house or died). Significant, positive correlations were found between the prevalence of respiratory disease and the hospital admission and mortality rates for respiratory problems (r=0·68, p<0·01 and r=0·54, p<0·01) and the prevalence of depression and the admission rate for depression (r=0·52, p<0·05). No such relations were found for digestive disease, musculo-skeletal disease, and obesity. For the conditions examined here, hospital service use was a more useful measure than mortality. Conclusions - Only two diseases (respiratory disease and depression) out of the seven diseases or procedures investigated showed a positive correlation between hospital admission and disease prevalence. But even for these two, the correlations explained less than 50% of the variance. Caution must be exercised when hospital service use is being considered as a proxy for morbidity.
To examine the relationship between specific types of morbidity, measured by validated survey questions, and hospital service use and mortality to see if the latter two could act as a proxy in health needs assessment, health service planning, and resource allocation in a typical health district.OBJECTIVESTo examine the relationship between specific types of morbidity, measured by validated survey questions, and hospital service use and mortality to see if the latter two could act as a proxy in health needs assessment, health service planning, and resource allocation in a typical health district.A postal questionnaire was used to provide information about depression, digestive disorders, musculo-skeletal disorders, obesity, respiratory disease, and hip and knee pain. The questions were from survey instruments that have been widely used to derive information about these conditions. The relationships between the prevalence of these specific types of morbidity and appropriate admission and mortality rates were explored using linear regression and Pearson correlation analysis.DESIGNA postal questionnaire was used to provide information about depression, digestive disorders, musculo-skeletal disorders, obesity, respiratory disease, and hip and knee pain. The questions were from survey instruments that have been widely used to derive information about these conditions. The relationships between the prevalence of these specific types of morbidity and appropriate admission and mortality rates were explored using linear regression and Pearson correlation analysis.The population of Rotherham health district, England.SETTINGThe population of Rotherham health district, England.A simple random sample of the residents of each of the 22 electoral wards in Rotherham health district.SUBJECTSA simple random sample of the residents of each of the 22 electoral wards in Rotherham health district.Responses were obtained from 78% of the 5000 sampled (82% after excluding people who had moved house or died). Significant, positive correlations were found between the prevalence of respiratory disease and the hospital admission and mortality rates for respiratory problems (r = 0.68, p < 0.01 and r = 0.54, p < 0.01) and the prevalence of depression and the admission rate for depression (r = 0.52, p < 0.05). No such relations were found for digestive disease, musculo-skeletal disease, and obesity. For the conditions examined here, hospital service use was a more useful measure than mortality.RESULTSResponses were obtained from 78% of the 5000 sampled (82% after excluding people who had moved house or died). Significant, positive correlations were found between the prevalence of respiratory disease and the hospital admission and mortality rates for respiratory problems (r = 0.68, p < 0.01 and r = 0.54, p < 0.01) and the prevalence of depression and the admission rate for depression (r = 0.52, p < 0.05). No such relations were found for digestive disease, musculo-skeletal disease, and obesity. For the conditions examined here, hospital service use was a more useful measure than mortality.Only two diseases (respiratory disease and depression) out of the seven diseases or procedures investigated showed a positive correlation between hospital admission and disease prevalence. But even for these two, the correlations explained less than 50% of the variance. Caution must be exercised when hospital service use is being considered as a proxy for morbidity.CONCLUSIONSOnly two diseases (respiratory disease and depression) out of the seven diseases or procedures investigated showed a positive correlation between hospital admission and disease prevalence. But even for these two, the correlations explained less than 50% of the variance. Caution must be exercised when hospital service use is being considered as a proxy for morbidity.
To examine the relationship between specific types of morbidity, measured by validated survey questions, and hospital service use and mortality to see if the latter two could act as a proxy in health needs assessment, health service planning, and resource allocation in a typical health district. A postal questionnaire was used to provide information about depression, digestive disorders, musculo-skeletal disorders, obesity, respiratory disease, and hip and knee pain. The questions were from survey instruments that have been widely used to derive information about these conditions. The relationships between the prevalence of these specific types of morbidity and appropriate admission and mortality rates were explored using linear regression and Pearson correlation analysis. The population of Rotherham health district, England. A simple random sample of the residents of each of the 22 electoral wards in Rotherham health district. Responses were obtained from 78% of the 5000 sampled (82% after excluding people who had moved house or died). Significant, positive correlations were found between the prevalence of respiratory disease and the hospital admission and mortality rates for respiratory problems (r = 0.68, p < 0.01 and r = 0.54, p < 0.01) and the prevalence of depression and the admission rate for depression (r = 0.52, p < 0.05). No such relations were found for digestive disease, musculo-skeletal disease, and obesity. For the conditions examined here, hospital service use was a more useful measure than mortality. Only two diseases (respiratory disease and depression) out of the seven diseases or procedures investigated showed a positive correlation between hospital admission and disease prevalence. But even for these two, the correlations explained less than 50% of the variance. Caution must be exercised when hospital service use is being considered as a proxy for morbidity.
Author Coy, J
Patterson, S
Milner, P C
Payne, J N
AuthorAffiliation Department of Public Health, Rotherham District Health Authority
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Snippet OBJECTIVES--To examine the relationship between specific types of morbidity, measured by validated survey questions, and hospital service use and mortality to...
Objectives - To examine the relationship between specific types of morbidity, measured by validated survey questions, and hospital service use and mortality to...
To examine the relationship between specific types of morbidity, measured by validated survey questions, and hospital service use and mortality to see if the...
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StartPage 74
SubjectTerms Adolescent
Adult
Age Factors
Aged
Arthritis - epidemiology
Biological and medical sciences
Correlation analysis
Depression - epidemiology
Depressive disorders
Dyspepsia - epidemiology
England - epidemiology
Female
General aspects
Health Services Research
Hospital admissions
Hospitals - statistics & numerical data
Humans
Male
Medical sciences
Middle Aged
Morbidity
Mortality
Obesity
Obesity - epidemiology
Patient Admission - statistics & numerical data
Planification. Prevention (methods). Intervention. Evaluation
Prevalence
Proxy reporting
Proxy statements
Public health. Hygiene
Public health. Hygiene-occupational medicine
Questionnaires
Resource allocation
Respiration Disorders - epidemiology
Respiratory diseases
Respiratory function
Respiratory insufficiency
Sex Factors
Small-Area Analysis
Title Is use of hospital services a proxy for morbidity? A small area comparison of the prevalence of arthritis, depression, dyspepsia, obesity, and respiratory disease with inpatient admission rates for these disorders in England
URI https://jech.bmj.com/content/48/1/74.full
https://api.istex.fr/ark:/67375/NVC-4SDB2L9M-7/fulltext.pdf
https://www.jstor.org/stable/25567849
https://www.ncbi.nlm.nih.gov/pubmed/8138774
https://www.proquest.com/docview/1774629306
https://www.proquest.com/docview/76401567
https://pubmed.ncbi.nlm.nih.gov/PMC1059898
Volume 48
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