Search

Background: Older adults with serious mental illness (OASMI) have to manage the twin challenges of old age and mental illness. Understanding their characteristics will help policymakers and researchers plan tailored interventions. The profile of OASMI is not described in any publication from India, and this paper addresses that gap. The information from this study will serve as a baseline for the planned periodic follow-up of the study participants. Methods: This study employed a cross- sectional design among a sample of OASMI identified through multistage cluster sampling from three districts in Kerala. We interviewed them in their households and collected sociodemographic data using a pretested tool. Results: Among the 917 OASMI participants, 66% were females, 18% were the ‘oldest-old’ (≥80 years), 94.1% were unemployed, 51.7% were socially backward, 68.5% were financially weak, 10.1% were living alone, 59.4% were living without partners, and 63.7% had caregivers. Conclusion: Compared to the general population of older adults in Kerala, the OASMI have poorer socioeconomic status and higher rates of social isolation, and males are dying earlier. The profile of the OASMI depicts their multiple vulnerabilities and the need to address those.

Background: India has the second-largest population of elderly in the world. Serious mental illness (SMI) is a subset of the mental disorders that result in significant functional impairment and is usually long term. Persons with SMI face several challenges in their old age that are different from the issues faced by younger people with SMI. Understanding the problems faced by elderly individuals suffering from SMI is fundamental for planning programs to address them. The SENIOR ( S upport Systems E valuation of N europsychiatric I llness in O ld age) project is a study aimed at evaluating the problems faced in obtaining mental health care by elderly persons having SMI in the Kerala state of India. Aim: To describe the scientific methodology of the SENIOR project. Methods: This study employs mixed-methods cross-sectional design among a minimum sample of 768 SMI patients identified through cluster sampling from three districts, and Focus Group Discussion among mental health program officials. Discussion: This paper presents a methodological model to assist researchers in future field epidemiological studies on mental illness. Assessing service needs and barriers to access for the most vulnerable among the mentally ill will help the policymakers make evidence-based decisions to improve their quality of life.

Background: Older adults with serious mental illness (OASMI) have to manage the twin challenges of old age and mental illness. Understanding their characteristics will help policymakers and researchers plan tailored interventions. The profile of OASMI is not described in any publication from India, and this paper addresses that gap. The information from this study will serve as a baseline for the planned periodic follow-up of the study participants. Methods: This study employed a cross- sectional design among a sample of OASMI identified through multistage cluster sampling from three districts in Kerala. We interviewed them in their households and collected sociodemographic data using a pretested tool. Results: Among the 917 OASMI participants, 66% were females, 18% were the 'oldest-old' (≥80 years), 94.1% were unemployed, 51.7% were socially backward, 68.5% were financially weak, 10.1% were living alone, 59.4% were living without partners, and 63.7% had caregivers. Conclusion: Compared to the general population of older adults in Kerala, the OASMI have poorer socioeconomic status and higher rates of social isolation, and males are dying earlier. The profile of the OASMI depicts their multiple vulnerabilities and the need to address those. [ABSTRACT FROM AUTHOR]

Background: India has the second-largest population of elderly in the world. Serious mental illness (SMI) is a subset of the mental disorders that result in significant functional impairment and is usually long term. Persons with SMI face several challenges in their old age that are different from the issues faced by younger people with SMI. Understanding the problems faced by elderly individuals suffering from SMI is fundamental for planning programs to address them. The SENIOR (Support Systems Evaluation of Neuropsychiatric Illness in Old age) project is a study aimed at evaluating the problems faced in obtaining mental health care by elderly persons having SMI in the Kerala state of India. Aim: To describe the scientific methodology of the SENIOR project. Methods: This study employs mixed-methods cross-sectional design among a minimum sample of 768 SMI patients identified through cluster sampling from three districts, and Focus Group Discussion among mental health program officials. Discussion: This paper presents a methodological model to assist researchers in future field epidemiological studies on mental illness. Assessing service needs and barriers to access for the most vulnerable among the mentally ill will help the policymakers make evidence-based decisions to improve their quality of life. [ABSTRACT FROM AUTHOR]

The southern state of Kerala, India was seriously affected by a chikungunya epidemic in 2007. As this outbreak was the first of its kind, the morbidity incurred by the epidemic was a challenge to the state's public health system. A cross sectional survey was conducted in five districts of Kerala that were seriously affected by the epidemic, using a two-stage cluster sampling technique to select households, and the patients were identified using a syndromic case definition. We calculated the direct health expenditure of families and checked whether it exceed the margins of catastrophic health expenditure (CHE). The median (IQR) total out-of-pocket (OOP) health expenditure in the study population was USD7.4 (16.7). The OOP health expenditure did not show any significant association with increasing per-capita monthly income.The major share (47.4%) of the costs was utilized for buying medicines, but costs for transportation (17.2%), consultations (16.6%), and diagnoses (9.9%) also contributed significantly to the total OOP health expenditure. The OOP health expenditure was high in private sector facilities, especially in tertiary care hospitals. For more than 15% of the respondents, the OOP was more than double their average monthly family income. The chikungunya outbreak of 2007 had significantly contributed to the OOP expenditure of the affected community in Kerala.The OOP health expenditure incurred was high, irrespective of the level of income. Governments should attempt to ensure comprehensive financial protection by covering the costs of care, along with loss of productivity.