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 in | Journal of epidemiology and community health (1979) Vol. 48; no. 1; pp. 74 - 78 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
London
BMJ Publishing Group Ltd
01.02.1994
British Medical Association BMJ BMJ Publishing Group LTD |
Subjects | |
Online Access | Get full text |
ISSN | 0143-005X 1470-2738 |
DOI | 10.1136/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. |
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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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CitedBy_id | crossref_primary_10_1089_pop_2010_0081 crossref_primary_10_1016_j_socscimed_2007_02_046 crossref_primary_10_1016_j_vaccine_2016_07_022 crossref_primary_10_1016_S0033_3506_95_80010_7 crossref_primary_10_1038_sj_ijo_0803530 crossref_primary_10_1192_bjp_169_3_308 crossref_primary_10_1016_S0954_6111_98_90011_7 crossref_primary_10_1590_S1415_790X2002000200003 crossref_primary_10_1136_jech_51_1_74 crossref_primary_10_1136_pgmj_70_828_718 crossref_primary_10_1177_146642409911900309 crossref_primary_10_1016_j_psychres_2015_07_011 crossref_primary_10_1177_14034948010290011101 crossref_primary_10_1016_j_socscimed_2006_12_001 crossref_primary_10_1016_S0277_9536_01_00300_8 crossref_primary_10_1016_S0277_9536_00_00456_1 crossref_primary_10_1136_ard_2003_013938 |
Cites_doi | 10.1136/jech.44.1.62 10.1016/0038-0121(92)90008-S 10.1016/0277-9536(86)90122-X 10.1097/00005650-198209000-00007 10.1136/bmj.298.6665.30 10.1136/bmj.303.6805.750 10.1136/bmj.290.6483.1714 10.1016/0140-6736(91)93068-K 10.1136/jech.41.4.269 10.1111/j.1600-0447.1983.tb09716.x 10.1097/00005650-198410000-00006 10.1136/bmj.286.6379.1705 10.1126/science.182.4117.1102 |
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References | McPherson, K.; Wennberg, J.E.; Hovind, O.B.; Clifford, P. (ref_20) 1982; 310 (ref_4) 1976 Bucquet, D.; Curtis, S. (ref_25) 1986; 7 Wennberg, J.; Gittelsohn, A. (ref_18) 1973; 182 World Health Organization (ref_16) 1977 Johnson, I.S.; Coyne, A.-M.; Milner, P.C. (ref_11) 1986 Mays, N.; Chinn, S. (ref_32) 1989; 43 Nicholl, J.P.; Coleman, P.; Williams, B.T. (ref_14) 1992 Carstairs, V.; Morris, R. (ref_31) 1989; 11 Marmot, M.G.; Davey Smith, G.; Stansfield, S. (ref_35) 1991; 337 Wennberg, J.E. (ref_22) 1987; 25 Campbell, D.A.; Radford, J.M.C.; Burton, P. (ref_27) 1991; 303 Medical Research Council's Committee on (ref_15) 1986 Hunt, S.; McEwen, J.; McKenna, S. (ref_10) 1981; 15 Office of (ref_17) 1990 Jarman, B. (ref_26) 1983; 286 Roos, N.P.; Roos, L.L. (ref_21) 1982; 20 Secretaries of State for Health, Wales, Northern Ireland, and Scotland (ref_1) 1989 Johnson, I.S.; Milner, P.C. (ref_29) 1988; 5 Department of Health (ref_3) 1990 Payne, J.N.; Coy, J.; Patterson, S.; Milner, P.C. (ref_34) 1993; 15 Curtis, S. (ref_33) 1990; 44 Royston, G.H.D.; Hurst, J.W.; Lister, E.G.; Stewart, P.A. (ref_7) 1992; 26 Committee of Inquiry (ref_2) 1988 Wennberg, J.E.; Freeman, J.L.; Shelton, R.M.; Bubolz, T.A. (ref_19) 1987; 1 Morgan, M.; Mays, N.; Holland, W.H. (ref_24) 1987; 41 NHS (ref_6) 1988 Zigmond, A.S.; Snaith, P. (ref_12) 1983; 67 Charlton, J.R.H.; Lakhani, A. (ref_30) 1985; 290 Jones, R.; Lydyeard, S. (ref_13) 1989; 298 Connell, F.A.; Blide, L.A.; Hanken, M.A. (ref_23) 1984; 22 Townsend, P.; Davidson, N.; Whitehead, M. (ref_5) 1988 Hunt, S.; McEwen, J.; McKenna, S. (ref_9) 1980; 2 Franks, P.J.; Adamson, C.; Bulpitt, P.F.; Bulpitt, C.J. (ref_28) 1991; 45 Cartwright, A. (ref_8) 1983 |
References_xml | – volume: 44 start-page: 62 year: 1990 ident: ref_33 article-title: Use of survey data and small areas statistics to assess the link between individual morbidity and neighbourhood deprivation publication-title: I Epidemiol Conmmunity Health doi: 10.1136/jech.44.1.62 – year: 1988 ident: ref_2 article-title: Public health in England – volume: 26 start-page: 169 year: 1992 ident: ref_7 article-title: Modelling the use of health services by populations of small areas to inform the allocation of central resources to larger regions publication-title: Socio-economic Planning Sciences doi: 10.1016/0038-0121(92)90008-S – year: 1989 ident: ref_1 article-title: Working for patients – volume: 7 start-page: 737 year: 1986 ident: ref_25 article-title: Socio-demographic variation in perceived illness and the use of primary care: the value of community service data for primary health care planning publication-title: Soc Sci Med doi: 10.1016/0277-9536(86)90122-X – volume: 2 start-page: 231 year: 1980 ident: ref_9 article-title: The development of a subjective health indicator publication-title: Socio-economic Planning Sciences – volume: 20 start-page: 945 year: 1982 ident: ref_21 article-title: Surgical rate variations: do they reflect the health or socio-economic characteristics of the population? publication-title: Med Care doi: 10.1097/00005650-198209000-00007 – year: 1988 ident: ref_6 article-title: Management Board/Department of Health and Social Security. Review of resource allocation working party formula:final report of the NHS management board – volume: 298 start-page: 30 year: 1989 ident: ref_13 article-title: Prevalence of symptoms of dyspepsia in the community publication-title: BMJ doi: 10.1136/bmj.298.6665.30 – year: 1977 ident: ref_16 article-title: Manual of the international statistical classification of disease, inquiries and causes of death – volume: 303 start-page: 750 year: 1991 ident: ref_27 article-title: Unemployment rates: an equivalent to the Jarman index? publication-title: BMJ doi: 10.1136/bmj.303.6805.750 – volume: 290 start-page: 1714 year: 1985 ident: ref_30 article-title: Is the Jarman underprivileged area score valid? publication-title: BMJ doi: 10.1136/bmj.290.6483.1714 – volume: 337 start-page: 1387 year: 1991 ident: ref_35 article-title: Health inequalities among British civil servants: the Whitehall II study publication-title: Lancet doi: 10.1016/0140-6736(91)93068-K – year: 1988 ident: ref_5 article-title: Inequalities in Health (the Black report). The Health Divide – year: 1986 ident: ref_11 article-title: A profile of health care and disease in Sheffield – volume: 43 start-page: 191 year: 1989 ident: ref_32 article-title: Relation between all cause standardised mortality ratios and two indices of deprivation at regional and district level in England. _7 Epidemiol publication-title: Community Health – volume: 15 start-page: 161 year: 1993 ident: ref_34 article-title: Are deprivation indicators a proxy for morbidity? publication-title: _7 Public Health Med – volume: 41 start-page: 269 year: 1987 ident: ref_24 article-title: Can hospital use be a measure of need for health care? publication-title: J Epidemiol Community Health doi: 10.1136/jech.41.4.269 – volume: 67 start-page: 361 year: 1983 ident: ref_12 article-title: The hospital anxiety and depression scale publication-title: Acta Psychiat Scand doi: 10.1111/j.1600-0447.1983.tb09716.x – volume: 22 start-page: 939 year: 1984 ident: ref_23 article-title: Clinical correlates of small area variations in population-based admission rates for diabetes publication-title: Med Care doi: 10.1097/00005650-198410000-00006 – volume: 15 start-page: 221 year: 1981 ident: ref_10 article-title: The Nottingham Health Profile: subjective health status and medical consultations publication-title: Soc Sci Med – year: 1983 ident: ref_8 article-title: Health surveys – year: 1976 ident: ref_4 article-title: Resource Allocation Working Party. Sharing resources for health in England – year: 1986 ident: ref_15 article-title: Environmental and Occupational Health. Questionnaire on respiratory symptoms – volume: 25 start-page: 354 year: 1987 ident: ref_22 article-title: Population illness rates do not explain population hospitalisation rates: a comment on Mark Blumberg's thesis that morbidity adjusters are needed to interpret small area variations publication-title: Med Care – volume: 286 start-page: 1705 year: 1983 ident: ref_26 article-title: Identification of underprivileged areas publication-title: BMJ doi: 10.1136/bmj.286.6379.1705 – year: 1990 ident: ref_17 article-title: Population Censuses and Surveys. Tabular list of the classification of surgical operations and procedures – volume: 310 start-page: 1310 year: 1982 ident: ref_20 article-title: Small area variations in the use of common surgical procedures: an international comparison of New England, England, and Norway publication-title: N Engl J Med – volume: 11 start-page: 364 year: 1989 ident: ref_31 article-title: Deprivation, mortality and resource use publication-title: Community Med – volume: 5 start-page: 105 year: 1988 ident: ref_29 article-title: Is the Jarman score better than social class at assessing the need for prevention and primary care? Fam Pract – year: 1992 ident: ref_14 article-title: A national study of the epidemiology of exercise related illness and injury. A report to the Sports Council of England – volume: 182 start-page: 1102 year: 1973 ident: ref_18 article-title: Small area variations in health care delivery publication-title: Science doi: 10.1126/science.182.4117.1102 – year: 1990 ident: ref_3 article-title: Working for patients. Framework for information systems: the next steps – volume: 45 start-page: 16 year: 1991 ident: ref_28 article-title: Stroke death and unemployment in London..7 Epidemiol Co,,, munity publication-title: Health – volume: 1 start-page: 185 year: 1987 ident: ref_19 article-title: Are hospital services rationed in New Haven or over-utilised in Boston? publication-title: Lancet |
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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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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 |
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