Health care seeking and financial protection among hypertensive population: a cross-sectional study in rural West Bengal, India

Introduction: Elevated blood pressure or hypertension is responsible for around 10 million annual deaths globally, and people residing in low and middle-income countries are disproportionately affected by it. India is no exception, where low rate of treatment seeking for hypertension coupled with wide spread out of pocket payments (OOPs) have been a challenge. Objectives: This study aimed to explore the pattern and predictors of health care seeking among hypertensive individuals along with financial protection. Study design and settings: This cross-sectional study was conducted in in Birbhum district of the state of West Bengal, India in 2017-2018. Study Population: 300 individuals were recruited after random sampling from the list of identified hypertensive subjects in the Birbhum Population Project. Outcome measure: Healthcare seeking along with two strings of financial protection, out of pocket expenditure, and relative expense were analyzed. Results: Findings indicated poor health care seeking (47% of hypertensive individuals were not on treatment), preference of private healthcare (80%), and wide-spread OOPs (91%) among study participants. Cost of medication bears major share of expenses with significant transport cost to access public health care facility. Multivariable logistic regression analysis indicated longer duration of disease and private health care seeking was associated with more incident of OOPs. Results from linear regression modeling (generalized linear model) demonstrates presence of co-morbidities was associated with higher relative expenditure. Individual belonged to poorer economic group suffered from high relative expenses for hypertension compared to the richest. Conclusion: Study suggested poor health care seeking, preference of private health care, suboptimal financial protection of population for hypertension care. Economically poorer section bears more relative burden of health expenditure.

[1]  Rajeev Gupta,et al.  Emerging trends in hypertension epidemiology in India , 2018, Journal of Human Hypertension.

[2]  C. Millett,et al.  Comparative health system performance in six middle-income countries: cross-sectional analysis using World Health Organization study of global ageing and health , 2017, Journal of the Royal Society of Medicine.

[3]  A. Banerjee,et al.  The impact of training informal health care providers in India: A randomized controlled trial , 2016, Science.

[4]  Saswata Ghosh,et al.  Sex differences in the risk profile of hypertension: a cross-sectional study , 2016, BMJ Open.

[5]  D. Xavier,et al.  Hypertension Prevalence, Awareness, Treatment, and Control in Selected LMIC Communities: Results From the NHLBI/UHG Network of Centers of Excellence for Chronic Diseases. , 2016, Global heart.

[6]  O. Uthman,et al.  Prevalence of Hypertension in Low- and Middle-Income Countries , 2015, Medicine.

[7]  G. Mancia,et al.  Blood pressure levels and control in Italy: comprehensive analysis of clinical data from 2000–2005 and 2005–2011 hypertension surveys , 2015, Journal of Human Hypertension.

[8]  P. Majumder,et al.  Health & Demographic Surveillance System Profile: The Birbhum population project (Birbhum HDSS). , 2015, International journal of epidemiology.

[9]  Olivier Kalmus,et al.  Out-of-Pocket Expenditure on Chronic Non-Communicable Diseases in Sub-Saharan Africa: The Case of Rural Malawi , 2015, PloS one.

[10]  Bernadette A. Thomas,et al.  Global, regional, and national age–sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013 , 2015, The Lancet.

[11]  P. Kowal,et al.  Health service use, out-of-pocket payments and catastrophic health expenditure among older people in India: The WHO Study on global AGEing and adult health (SAGE) , 2015, Journal of Epidemiology & Community Health.

[12]  L. Smeeth,et al.  Preparedness of Tanzanian health facilities for outpatient primary care of hypertension and diabetes: a cross-sectional survey , 2014, The Lancet. Global health.

[13]  Hassan Khan,et al.  Hypertension in India: a systematic review and meta-analysis of prevalence, awareness, and control of hypertension , 2014, Journal of hypertension.

[14]  Martin McKee,et al.  Prevalence, awareness, treatment, and control of hypertension in rural and urban communities in high-, middle-, and low-income countries. , 2013, JAMA.

[15]  F. McAlister,et al.  Hypertension prevalence, awareness, treatment and control in national surveys from England, the USA and Canada, and correlation with stroke and ischaemic heart disease mortality: a cross-sectional study , 2013, BMJ Open.

[16]  Mohsen Naghavi,et al.  GBD 2010: design, definitions, and metrics , 2012, The Lancet.

[17]  Patrick Kolsteren,et al.  Out-of-pocket healthcare payments on chronic conditions impoverish urban poor in Bangalore, India , 2012, BMC Public Health.

[18]  M. Engelgau,et al.  The Economic impact of Non-communicable Diseases on households in India , 2012, Globalization and Health.

[19]  Debbie A Lawlor,et al.  Measuring socio-economic position for epidemiological studies in low- and middle-income countries: a methods of measurement in epidemiology paper , 2012, International journal of epidemiology.

[20]  S. R. Rao,et al.  Prevalence, awareness, treatment, control and risk factors for hypertension in a rural population in South India , 2012, International Journal of Public Health.

[21]  P. Tsakloglou,et al.  Modelling health expenditure at the household level in Greece , 2009, The European Journal of Health Economics.

[22]  C. Lengeler,et al.  Low utilization of health care services following screening for hypertension in Dar es Salaam (Tanzania): a prospective population-based study , 2008, BMC public health.

[23]  Daniel W. Jones,et al.  The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. , 2003, JAMA.

[24]  D. Gleason Data Transformation , 1997, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

[25]  T. Mahapatra,et al.  Patterns and predictors of undiagnosed and uncontrolled hypertension: observations from a poor-resource setting , 2017, Journal of Human Hypertension.

[26]  A. Krishnan,et al.  Prevalence, awareness, treatment and control of hypertension among elderly persons in an urban slum of Delhi, India , 2014 .

[27]  J. Beard,et al.  Health system strengthening and hypertension awareness, treatment and control: data from the China Health and Retirement Longitudinal Study. , 2014, Bulletin of the World Health Organization.

[28]  M. Mallapur,et al.  Treatment Seeking Behavior and Health Care Expenditure Incurred for Hypertension among elderly in Urban Slums of Belgaum City , 2013 .

[29]  S. Mendis Hypertension: a silent contributor to the global cardiovascular epidemic , 2013 .

[30]  S. Saha,et al.  Burden of non-communicable disease: Global overview , 2010 .

[31]  M. Graffar [Modern epidemiology]. , 1971, Bruxelles medical.