title: Systems perspective: understanding care giving of the elderly in India.
abstract: In this article I propose a systems model of elder care giver burden among Indian care givers. The systems model specifies the effects of elder characteristics, family structure, and personal characteristics of the care giver on care giver burden. Sampling was conducted using a multistage probability method to generate a sample of 259 care givers. The care giver burden questionnaire was translated from English to Hindi and then back into English and pilot tested before implementation. The care givers were interviewed via face-to-face interviews. Regression analysis was used to estimate the effects of the hypothesized determinants on care giver burden. The r square explained 46% of the variance in care giver burden. The following variables were significant from three dimensions: personal characteristics, elder characteristics, and family level. Personal characteristics of the care giver included whether they adhered to Asian cultural norms, the age of the care giver, and gender. Elder characteristics included behavioral problems of the elder. Family functional variables included number of care giving tasks provided by the care giver, and level of family income. Social work practice issues are discussed in the context of this study.
authors.affiliation: School of Social Work, San Francisco State University, San Francisco, California 94132, USA. rgupta@sfsu.edu
authors.forename: Rashmi
authors.initials: R
authors.lastname: Gupta
mesh_terms: D000203:Activities of Daily Living; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D017028:Caregivers / Q000523:psychology / Q000706:statistics & numerical data*; D003466:Cultural Characteristics; D005191:Family Characteristics; D005260:Female; D006701:Home Nursing / Q000523:psychology / Q000706:statistics & numerical data*; D006801:Humans; D007194:India / Q000453:epidemiology; D007398:Interpersonal Relations; D008297:Male; D008875:Middle Aged; D008960:Models, Psychological; D011788:Quality of Life; D012044:Regression Analysis; D012938:Social Perception; D012944:Social Support; D013315:Stress, Psychological / Q000453:epidemiology; D014505:Urban Population / Q000706:statistics & numerical data; D055815:Young Adult