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  • 标题:A Comparative Field Based Study of Katz and Barthel Indices in North Indian City of Dehradun
  • 作者:Megha Luthra ; Kamal Singh Negi ; Sudhir Kumar Gupta
  • 期刊名称:Indian Journal of Community Health
  • 印刷版ISSN:2248-9509
  • 出版年度:2016
  • 卷号:28
  • 期号:1
  • 页码:108-112
  • 语种:English
  • 出版社:Indian Association of Preventive and Social Medicine Uttar Pradesh and Uttarakhand Chapter
  • 摘要:Background: Elderly persons are one of the most vulnerable groups of society and have more chances of disease and disabilities (restriction or lack of ability to perform an activity in the manner or within the range considered normal for a human being). It reflects how well an individual is able to function in general areas of life. Magnitude of disability has become an important indicator in measuring disease burden along with morbidity and mortality rates. Katz and Barthel Indices have been largely used to assess disability in activities of daily living among elderly people. Aim & objectives: This community-based cross-sectional study was conducted among persons aged 60 years and above in urban field practice area of SGRRIM&HS, Dehradun, Uttarakhand with the aim of comparing these two indices in community setting. The specific objectives were to find ADL dependence by both the indices, find the factors which significantly affect ADL dependence and to find the degree of agreement which is not by chance between Katz and Barthel Indices. Material methods: An interview schedule was developed and administered to participants in Hindi, by trained investigators. Information on age, marital status, living status education, occupation and economic dependence was recorded. House-to-house visits were conducted in the selected area to collect the data. All elderly persons residing in the selected area were included in the study. Results: Prevalence of ADL dependence was 8.23% as per Katz Index and 28.45% as per Barthel Index, taking a score of less than 20 for BI and less than 6 for KI as criterion for ADL dependence. That there is a moderate degree of agreement between Katz and Barthel Scores which is not by chance was estimated by Kappa Statistic. Conclusion: Katz Index is better suited for ADL estimation in a community setting.
  • 其他摘要:Background: Elderly persons are one of the most vulnerable groups of society and have more chances of disease and disabilities (restriction or lack of ability to perform an activity in the manner or within the range considered normal for a human being). It reflects how well an individual is able to function in general areas of life. Magnitude of disability has become an important indicator in measuring disease burden along with morbidity and mortality rates. Katz and Barthel Indices have been largely used to assess disability in activities of daily living among elderly people. Aim & objectives: This community-based cross-sectional study was conducted among persons aged 60 years and above in urban field practice area of SGRRIM&HS, Dehradun, Uttarakhand with the aim of comparing these two indices in community setting. The specific objectives were to find ADL dependence by both the indices, find the factors which significantly affect ADL dependence and to find the degree of agreement which is not by chance between Katz and Barthel Indices. Material methods: An interview schedule was developed and administered to participants in Hindi, by trained investigators. Information on age, marital status, living status education, occupation and economic dependence was recorded. House-to-house visits were conducted in the selected area to collect the data. All elderly persons residing in the selected area were included in the study. Results: Prevalence of ADL dependence was 8.23% as per Katz Index and 28.45% as per Barthel Index, taking a score of less than 20 for BI and less than 6 for KI as criterion for ADL dependence. That there is a moderate degree of agreement between Katz and Barthel Scores which is not by chance was estimated by Kappa Statistic. Conclusion: Katz Index is better suited for ADL estimation in a community setting.
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