Health seeking behaviour and health service utilization in Pakistan: challenging the policy makers.

Department of Community Health Sciences, Aga Khan University Karachi, Pakistan.
Journal of Public Health (Impact Factor: 2.3). 04/2005; 27(1):49-54. DOI: 10.1093/pubmed/fdh207
Source: PubMed

ABSTRACT There is a growing literature on health seeking behaviours and the determinants of health services utilization especially in the context of developing countries. However, very few focused studies have been seen in Pakistan in this regard. This paper presents an extensive literature review of the situation in developing countries and relates the similar factors responsible for shaping up of a health seeking behaviour and health service utilization in Pakistan. The factors determining the health behaviours may be seen in various contexts: physical, socio-economic, cultural and political. Therefore, the utilization of a health care system, public or private, formal or non-formal, may depend on socio-demographic factors, social structures, level of education, cultural beliefs and practices, gender discrimination, status of women, economic and political systems environmental conditions, and the disease pattern and health care system itself. Policy makers need to understand the drivers of health seeking behaviour of the population in an increasingly pluralistic health care system. Also a more concerted effort is required for designing behavioural health promotion campaigns through inter-sectoral collaboration focusing more on disadvantaged segments of the population.

  • Source
    Volume 3 issue 1 edited by Uchenna nwagha, 01/2014; Medknow-Wolters Kluwer Health., ISBN: 2320-2041
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Background There is a wide range of actions an individual could take when sick or injured such as self¿care, consulting a traditional healer, or seeking treatment from a private or public health care facility. The specific action taken is influenced by individual characteristics, provider characteristics, societal factors, and geographical factors. A key individual characteristic is the ability to afford the required health care. The study examines the effect poverty on an individual¿s choice of a health care provider in the event of sickness or injury in Kenya.Methods Using data from the Kenya Integrated Household and Budget Survey carried out between 2005 and 2006, we estimate a multinomial probit model that links an individual¿s poverty status to the individual¿s health care provider choice. The choices are classified as none, non-modern, and modern. The model is estimated for four age groups: infants, children aged 1 to 5 years, children aged 6 to 14 years, and adults. We control for the potential endogeneity of poverty status.ResultsOur results indicate that for all age groups, the predictors of poverty include large household sizes and longer distances to the nearest health facility. We further find that poverty reduces the probability of visiting a modern health care provider amongst all age groups.Conclusions Poverty has a negative effect on the individual¿s demand for modern health care services, holding other factors constant. To encourage the use of modern health care facilities, therefore, requires the pursuit of poverty¿reduction strategies. Some of the ways this could be done include lowering the household sizes and reducing the average distance to modern health care facilities.
    BMC Health Services Research 11/2014; 14(1):560. · 1.66 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: The number of China’s rural-to-urban migrants is increasing rapidly. Numerous rural-to-urban migrants have poor working and living conditions and lack local social security and support, so they are often faced with high public health risk, which is closely related to their health problems. In this study, we use the SF-36 scale to explore the rural-to-urban migrant health of Wuhan City. Gender, marital status, age, and residence register are the control variables. The different ways in dealing with their sickness, medical health service from companies for injuries, and selective tendency to medical institutions are three independent variables. We use descriptive statistical and regression analysis methods (ordinal logistics and stereotype ordinal) to explore the utilization of health services of rural-to-urban migrants and its effect on health-related quality of life (HRQOL). The score of the SF-36 Table shows that whether or not the companies provide medical care for injuries on the job has a very significant effect on the quality of life in the eight dimensions. The rural-to-urban migrants who see a doctor when they are sick have higher quality of life than those who do not; those who select city or county hospitals have higher quality of life than those who select primary hospitals. The costs and time consumed by medical treatment mainly affect their choice on whether or not they will seek medical attention and/or hospitals when they are sick. To a considerable extent, the utilization of health services remarkably affects HRQOL of rural-to-urban migrants. The quality of life on the SF-36 scale does not reflect the particularity of rural-to-urban migrants on health status and needs. However, based on further analysis of the data, improving the utilization and accessibility of health services for rural-to-urban migrants can guarantee their healthy life.
    Social Indicators Research 01/2015; 120(1). · 1.26 Impact Factor

Full-text (2 Sources)

Available from
May 23, 2014