Stroke in India: Bio-socioeconomic determinants

Singla, Sweta; Singla, Rajiv

doi:10.4103/2321-0656.187993

Cited by 6 publications

(10 citation statements)

References 14 publications

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“…Although eight papers met the selection criteria, these included a systematic review (Gheorghe et al, 2018), with only one study relevant to our scoping review (Huffman et al, 2011). A decision was made to exclude the systematic review and include only the relevant study (Huffman et al, 2011), resulting in eight studies being included in the scoping review (Bahuguna et al, 2020; Basu et al, 2015; Chhabra et al, 2019; Gopi et al, 2017; Huffman et al, 2011; Kwatra et al, 2013; Marfatia et al, 2014; Singla & Singla, 2016). Details of the records excluded following full-text screening (with related reasons) are presented in Table S5.…”

Section: Resultsmentioning

confidence: 99%

“…Each included study met the inclusion criteria, and a summary of their characteristics is provided in Table S6. The studies were characterised by various designs, including cost-of-illness studies (n = 3 [Chhabra et al, 2019; Kwatra et al, 2013; Marfatia et al, 2014]), economic evaluations (n = 2 [Basu et al, 2015; Gopi et al, 2017]), a cross-sectional costing study (n = 1 [Huffman et al, 2011]), a costing study based on econometric modelling (n = 1 [Bahuguna et al, 2020]) and a policy/clinical review (n =1 [Singla & Singla, 2016]).…”

Section: Resultsmentioning

confidence: 99%

“…The included studies were set in broad and specific geographical locations, ranging from the whole of India (n = 1 [Basu et al, 2015]) to specific states or regions—Delhi National Capital Region (n = 1 [Singla & Singla, 2016]) and Punjab, Haryana, Tamil Nadu, Odisha, Himachal Pradesh and Kerala (n = 1 [Bahuguna et al, 2020])—and cities, that is Guntur (n = 1 [Gopi et al, 2017]), Gurgaon, Mumbai and Bengaluru (n = 1 [Marfatia et al, 2014]), Trivandrum (n = 1 [Huffman et al, 2011]), Ludhiana (n = 1 [Kwatra et al, 2013]) and an unspecified location in Punjab (n = 1 [Chhabra et al, 2019]).…”

Section: Resultsmentioning

confidence: 99%

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Costs of Hospital Care for Strokes in India: A Scoping Review

Benedetto

Cadilhac

Spencer

et al. 2022

The Indian Economic Journal

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The incidence of stroke in India is one of the largest worldwide. With this scoping review, we assessed the evidence on the costs of stroke, which is essential to evaluate whether stroke care interventions are cost-effective. We adopted a healthcare sector and broader societal perspective and searched electronic databases for records including stroke cost estimates (up to 2020). Following deduplication and screening of 2,510 records, we extracted the data (converted into 2020 Indian rupees [INR]) and assessed the quality of eight eligible studies. These studies, published between 2011 and 2020, covered the whole of India and specific localities and were: cost-of-illness studies (n = 3); economic evaluations (n = 2); cross-sectional costing study (n = 1); simulated costing study (n = 1); and policy/clinical review (n = 1). Among the extracted estimates, the mean total costs of stroke care per patient for the period up to six months post admission ranged from ₹19,428.86 in a government hospital in Punjab to ₹118,040.15 in a private tertiary care centre in Ludhiana. The median total out-of-pocket (OOP) payments for cardiovascular disease-related expenditures ranged from ₹18,148.88 to ₹68,464.39 across different income groups. Despite methodological limitations, the data from our scoping review will help in designing economic evaluations of stroke care interventions in India. JEL Codes: C18, C80, D61, I15, I19

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Costs of Hospital Care for Strokes in India: A Scoping Review

Benedetto

Cadilhac

Spencer

et al. 2022

The Indian Economic Journal

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“…Anaemia was found to be another important contributor to ischaemic stroke among Indians. 7 It has been reported that in some stroke patients, inflammation and immune reaction secondary to acute infection with C. pneumonia may trigger an acute stroke. 8 Alcohol abuse, clinical infection/inflammation, recreational drug abuse, psychological distress, stressful life events, birthday, negative or positive emotions, anger, heavy physical exertion, heavy eating, sudden posture change in response to a startling event have been isolated as potential triggering factors for stroke.…”

Section: Discussionmentioning

confidence: 99%

Risk factors of stroke in coastal villages of Uttara Kannada district, Karnataka, India: a case control study

Jacob

Kulkarni

2017

Int J Community Med Public Health

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INTRODUCTIONStroke is a major cause of mortality and morbidity. The incidence of stroke is on the rise in the developing countries unlike the developed countries.1 Worldwide, 15 million people suffer stroke in a year. Among them, 5 million people die and another 5 million become permanently disabled.2 Stroke is the second leading cause of mortality in people above 60 years of age, and the fifth leading cause in those in the age group of 15 to 59 years. In developed countries, stroke is the third most common cause of death, following coronary heart disease and cancer. 3The most important modifiable risk factors for stroke are hypertension and tobacco use.2 Other modifiable risk factors include unhealthy diet, high salt intake, underlying heart disease, diabetes and high cholesterol levels. 3Better control of hypertension and reduced levels of smoking have resulted in declining incidence of stroke in many developed countries. Control of hypertension can decrease the risk of stroke by up to 40%. However, the absolute number of stroke cases continues to increase because of the growing elderly population. The burden of ABSTRACT Background: The prevalence of stroke was reportedly higher in four coastal villages as compared to the neighbouring villages. Hence the study was conducted to identify the risk factors for stroke cases in the four villages of Mavinakurve Gram Panchayath, Bhatkal Taluk, Karnataka, India. Methods: 53 stroke patients were compared with 106 age and locality matched controls. Data was obtained using a predesigned, pretested questionnaire for socio-demographic variables, sources of water, palm oil and milk powder consumption, smoking and alcohol usage, stress score, history of hypertension, BMI and Waist Hip ratio. The data was entered in the SPSS version 15.0 and analysed. Results were expressed as proportions. Associations were analyzed using Chi-square test. A p-value less than 0.05 was considered significant. Results: Most of the cases (53%) and controls (45%) belonged to the age group of 60-69 years. 62.2% of the cases were males and 37.8% were females. 45.3% of the cases and 34.0% of the controls were involved in fishing. 15% of the cases and 2.8% of the controls had high stress. Statistically significant association was found between high stress and stroke. 86.8% of cases and 72.6% of controls were hypertensive (p value of 0.04). Conclusions:The prevalence of stroke in this area is higher than the state/national average. Hypertension and stress are important risk factors for stroke. Periodic screening for early detection of hypertension, health education, appropriate lifestyle modification and prompt treatment for hypertension are very important.

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“…Stroke is the third leading cause of adult disability in the world and also being the leading cause of long-term disability, it has significant disability-adjusted years of life in both developed and developing countries [1,2]. Motor impairments like hemiparesis are very common and persistent impairments in strength, balance and coordination have been associated with reduced mobility post stroke [3].…”

Section: Introductionmentioning

confidence: 99%