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Mental Health Outcome Evaluation bridges the gap between traditional research and evaluation methods by presenting an alternative to the highly technical and statistical methods developed in the laboratory for mental health care professionals. It focuses on outcome evaluation of mental health services for adults, concentrating on the general principles that can be used to assess the service effectiveness of community health centers, clinics, and private practices. The book presents a formidable argument for descriptive outcome studies through its evaluation of the results and consequences of care and treatment as well as clinician ratings. It is written in a non-technical style, making it accessible to anyone in the mental health industry. Key Features * Addresses industry efforts to monitor and assess information about results and consequences of mental health care and treatment * Evaluates use of clinician ratings as outcome information * Offers accessible general principles for managers and mental health services researchers * Presents the best argument for descriptive outcome studies

Evidence-based medicine demands that clinical outcomes are measurable and practicable. Yet mental health outcomes have always been notoriously difficult to quantify. This book guides the reader through the minefield of outcome measurement, providing the building blocks for evidence-based mental health service provision and evaluation. This new edition charts the increased range of outcome domains that are now measurable, while reflecting a new emphasis on positive outcomes and recovery, and the central role of the service user's experience. Fully revised and updated. New service-user focus and emphasis on recovery. Guide to a key aspect of evidence-based practice. With authors drawn from centres of excellence around the world, this volume will be essential for all those involved in research, commissioning and provision of mental health services

Health inputs are critical in attaining a healthy nation and improving health outcomes. Kenya, like other developing countries, grapples with limited health expenditures and poor population health indicators. Specifically, Kenya is yet to achieve the allocation of least 15% of the government's annual budget to improve the health sector as enshrined in the Abuja Declaration. Though there is an improvement with regards to infant mortality rate decreasing from 96.6 per 1, 000 live birth in 1970 to 30.6 per 1, 000 live birth in 2018. This indicator of population health outcome is currently far below the Sustainable Development Goals (SDGs) target of reducing the under five mortality rate to as low as 12 deaths per 1,000 live births by 2030. The literature suggests that increase in government's budgetary allocation to the health sector can improve country's health outcomes. Evidence on the impact of health expenditures on health outcomes is mixed and limited in developing countries. This study aims to analyze the impact of public health expenditures on health outcomes, among other control variables in Kenya. The study uses time series data from 1970 to 2018. The variables are found to be integrated of different orders suggesting the choice of Autoregressive Distributed Lag (ARDL) model. ARDL provides a useful link between long run equilibrium relationships and short run disequilibrium dynamics is estimated. The ARDL bounds test suggests presence of cointegration thus leading to the estimation of Error Correction Model (ECM). The findings suggest that improvements in public health expenditures enhance health outcomes in Kenya. The control variablesthat are found to be important determinants of infant mortality rate in Kenya include the national income and number of hospital beds per 100, 000. The study recommends that Kenyan government should increase annual budgetary allocation to health sector. Such increase is likely to lead to investments in physical and human capital in the health sector thus translating to improved health outcomes in Kenya.

This volume is the fourth in a series designed to facilitate inter-disciplinary communication between scientists concerned with the description of societal phenomena and those investigating adult development. As such, it contains a compilation of papers presented at an annual conference held at the Pennsylvania State University. These essays by sociologists and epidemiologists deal with the impact of disease and health outcomes with advancing age and are critiqued by members of related disciplines. In addition, there are overviews as well as specific discussions about the impact of cancer, dep

We examined methodological issues in studies of disaster-related effects on reproductive health outcomes and fertility among women of reproductive age and infants in the United States (US). We conducted a systematic literature review of 1,635 articles and reports published in peer-reviewed journals or by the government from January 1981 through December 2010. We classified the studies using three exposure types: (1) physical exposure to toxicants; (2) psychological trauma; and (3) general exposure to disaster. Fifteen articles met our inclusion criteria concerning research focus and design. Overall studies pertained to eight different disasters, with most (n = 6) focused on the World Trade Center attack. Only one study examined pregnancy loss, i.e., occurrence of spontaneous abortions post-disaster. Most studies focused on associations between disaster and adverse birth outcomes, but two studies pertained only to post-disaster fertility while another two examined it in addition to adverse birth outcomes. In most studies disaster-affected populations were assumed to have experienced psychological trauma, but exposure to trauma was measured in only four studies. Furthermore, effects of both physical exposure to toxicants and psychological trauma on disaster-affected populations were examined in only one study. Effects on birth outcomes were not consistently demonstrated, and study methodologies varied widely. Even so, these studies suggest an association between disasters and reproductive health and highlight the need for further studies to clarify associations. We postulate that post-disaster surveillance among pregnant women could improve our understanding of effects of disaster on the reproductive health of US pregnant women.

International audience ; We examine causal links between energy consumption and health indicators (Mortality rate under-5, life expectancy, greenhouse effect, and government expenditure per capita) for a sample of 16 African countries over the period 1971-2010 (according to availability of countries' data). We use the panel-data approach of Kónya (2006), which is based on SUR systems and Wald tests with country specific bootstrap critical values. Our results show that health and energy consumption are strongly linked in Africa. Unilateral causality is found from energy consumption to life expectancy and child under-5 mortality for Senegal, Morocco, Benin, DRC, Algeria, Egypt, and South Africa. At the same time, we found a bilateral causality between energy consumption and health indicators in Nigeria. In particular, our findings suggest that electricity consumption Granger causes health outcomes for several African countries.

International audience ; We examine causal links between energy consumption and health indicators (Mortality rate under-5, life expectancy, greenhouse effect, and government expenditure per capita) for a sample of 16 African countries over the period 1971-2010 (according to availability of countries' data). We use the panel-data approach of Kónya (2006), which is based on SUR systems and Wald tests with country specific bootstrap critical values. Our results show that health and energy consumption are strongly linked in Africa. Unilateral causality is found from energy consumption to life expectancy and child under-5 mortality for Senegal, Morocco, Benin, DRC, Algeria, Egypt, and South Africa. At the same time, we found a bilateral causality between energy consumption and health indicators in Nigeria. In particular, our findings suggest that electricity consumption Granger causes health outcomes for several African countries.

International audience ; We examine causal links between energy consumption and health indicators (Mortality rate under-5, life expectancy, greenhouse effect, and government expenditure per capita) for a sample of 16 African countries over the period 1971-2010 (according to availability of countries' data). We use the panel-data approach of Kónya (2006), which is based on SUR systems and Wald tests with country specific bootstrap critical values. Our results show that health and energy consumption are strongly linked in Africa. Unilateral causality is found from energy consumption to life expectancy and child under-5 mortality for Senegal, Morocco, Benin, DRC, Algeria, Egypt, and South Africa. At the same time, we found a bilateral causality between energy consumption and health indicators in Nigeria. In particular, our findings suggest that electricity consumption Granger causes health outcomes for several African countries.

International audience ; We examine causal links between energy consumption and health indicators (Mortality rate under-5, life expectancy, greenhouse effect, and government expenditure per capita) for a sample of 16 African countries over the period 1971-2010 (according to availability of countries' data). We use the panel-data approach of Kónya (2006), which is based on SUR systems and Wald tests with country specific bootstrap critical values. Our results show that health and energy consumption are strongly linked in Africa. Unilateral causality is found from energy consumption to life expectancy and child under-5 mortality for Senegal, Morocco, Benin, DRC, Algeria, Egypt, and South Africa. At the same time, we found a bilateral causality between energy consumption and health indicators in Nigeria. In particular, our findings suggest that electricity consumption Granger causes health outcomes for several African countries.

Health is important for sustainable economic performance of a country. This study seeks to investigate the effectiveness of public health spending on health outcomes. This is obtained by estimating a health production function for Kenya. In the study, infant mortality rate is used to measure health outcomes. The study uses time series data running from 1984 to 2015. The data is obtained from World Bank database and Kenya National Bureau of Statistics Economic Surveys. Error Correction Model (ECM) is adopted due to presence of cointegration. The results show that public expenditure on average influence health outcomes in Kenya. These results therefore provide evidence to support that increase in public expenditure improves health outcomes. The other factor that is found to be important determinant of health outcomes in Kenya is child immunization. The major policy implication of this study is that Kenyan government should increase budgetary allocation to health sector. In addition, government of Kenya should allocate more resources to child immunization.

AbstractA growing recognition that customers are important health partners has created the need for collaborative systems of accountability in behavioral health services.