Choice of health-care facility after introduction of free essential health services in Nepal

Karkee, Rajendra; Kadariya, Jhalka

doi:10.4103/2224-3151.122941

Cited by 21 publications

(20 citation statements)

References 10 publications

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“…Only 8.8% (24/272) of these respondents chose the public health facilities because of health personnel practices and conduct. 18 By contrast, resources, health-care delivery and respect in private facilities were generally perceived as adequate as and better than in public facilities. Higher perceived quality of private facilities has also been reported from India and Kenya.…”

Section: Discussionmentioning

confidence: 99%

Socio demographic determinants of health care seeking behaviour among tuberculosis patients admitted in the isolation ward of tertiary care hospital: a health belief model

Yamini¹,

Rao²,

Valleswary³

2017

Int J Community Med Public Health

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Background: Health care seeking behavior explains that people differ in their willingness to seek help from health care services. It is difficult to identify which determinants are most influential in the decision to utilize health care. The health belief model proposes that a person's health-related behaviour depends on the person's perception in critical areas. The aims and objectives of the study was planned to determine the socio demographic factors of sputum positive tuberculosis patients and to assess the health care seeking behaviour of patients by health belief model.Methods: Cross sectional descriptive study was conducted on sputum positive tuberculosis patients above 15 years in Tuberculosis wards of Rajiv Gandhi Institute of Medical Sciences, Ongole from April to September 2014. Results: Mean age group of the 100 participants was 48.89±5.93 years, 92% were males and 49.5% were labourers. Accessibility of the health care services was good in 95% of the cases, diagnostic tests and ATT treatment were accepting in good way by 71% of cases. In first contact, 36% of the cases contacted rural RMPs and 39% of the patients visited private practitioners. Symptoms of the tuberculosis were recognized by 20% of the patients and only 22% of them were perceived about the signs and symptoms. Significant association observed between the recognition of severity of symptoms and awareness on threat of tuberculosis among Tuberculosis patients (p<0.5). Conclusions: Heath education can be done by using the results of health belief model to increase awareness on perception, susceptibility, threat and understanding about the tuberculosis, there by patient’s intake of the drugs will be increased so that we can prevent chances of transmission of the disease.

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Section: Discussionmentioning

confidence: 99%

Socio demographic determinants of health care seeking behaviour among tuberculosis patients admitted in the isolation ward of tertiary care hospital: a health belief model

Yamini¹,

Rao²,

Valleswary³

2017

Int J Community Med Public Health

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“…A study concludes that ethnicity and low education status were associated with choice of public health facilities. The facilities were chosen because of financial and physical accessibility rather than better health care delivery (Karki & Kadariya, 2013). Satisfaction of the patients not only depends upon the type of hospitals, there are multiple factors which influence the patients' satisfaction.…”

Section: Resultsmentioning

confidence: 99%

Factors Associated with Clients' Satisfaction on Hospital Service Management of Province 1, Eastern Nepal

Niraula

Poudel

2019

Nep. J. Multidisc. Res.

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Satisfaction is both the internal happiness and sadness which is the major result of the correlation between the desires and expectations of people and also the services received. The direct relation is with the health services provided to the people which are effectively used where the fulfillment of patient is always kept on the list of high priority. This satisfaction of people directly links with the major factors like healthy communication with the staffs of hospitals like doctors, nurses and other personnel, nature of quality services and other facilities provided by the hospital. The study of this is the descriptive and huge study which is currently carried out in province 1 of the eastern Nepal in 10 hospitals in different locations. Based on the random sampling, the hospitals were selected from the province 1 which resulted in 18 government hospitals and 40 private hospitals which are running currently. Among the 18 government hospitals, 6 government hospitals and 40 private hospitals, 4 private hospitals were chosen at random using the simple random sampling method. Client’s perspective and service provider’s perspective are the two perspectives which is the result of both the qualitative and the quantitative analysis. The results of both bivariate and multivariate analysis for the statistical significance of quantitative data have been presented which mainly focuses on the group discussion of it that is also reported. A survey was conducted which mainly involved the patients. The majority of patients were satisfied with the number of doctors available and the result of the diagnosis which ranged from 70.88% to 92.5% of the participants. However, there were patients; almost 30% who were not satisfied for longer period to visit doctors, 26.4% of clients were dissatisfied for the approach of doctors specialist in time.

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“…Compared to the service readiness of private health facilities, the readiness scores for public health facilities was low. There is an increasing trend to visit private health facilities in Nepal for the pursuit of better health care, particularly patients from average to high socio-economic status [10,21].…”

Section: Readiness Of Public and Private Health Facilities For Ncdsmentioning

confidence: 99%

“…From 1995 to 2008, the number of private hospitals grew by 78% compared to a mere 23% increase in public sector [9]. Approximately 70% of the total health expenditure in Nepal was estimated from private health facilities, of which 85% were out of pocket [10]. However, there are very few studies on the assessment of readiness of private sectors to provide quality health services.…”

Section: Introductionmentioning

confidence: 99%

Health system's readiness to provide cardiovascular, diabetes and chronic respiratory disease related services in Nepal: analysis using 2015 health facility survey

Ghimire¹,

Shrestha

Adhikari

et al. 2020

Preprint

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Background: The burgeoning rise of non-communicable diseases is posing a serious challenge in resource constrained health facilities of Nepal. The main objective of this study was to assess the readiness of health facilities for cardiovascular, diabetes and chronic respiratory disease services in Nepal. Methods: This study utilized data from the Nepal Health Facility Survey 2015. General readiness of 940 health facilities along with disease specific readiness for cardiovascular diseases (CVDs), diabetes and cardiorespiratory diseases (CRDs) were assessed using service availability and readiness assessment manual of the World Health Organization (WHO). Health facilities were categorized into public and private facilities.Results: Out of a total of 940 health facilities assessed, private facilities showed higher availability of items of general service readiness, except for standard precautions for infection prevention, compared to public facilities. The multivariable adjusted regression coefficients for CVDs (β=2.87, 95%CI: 2.42-3.39), diabetes (β =3.02, 95%CI: 2.03-4.49) and CRDs (β=15.95, 95%CI: 4.61-55.13) at private facilities were higher than public hospitals. Health facilities located in hills had higher readiness index for CVDs (β=1.99, 95%CI: 1.02 - 1.39). Service readiness for CVDs (β=1.13, 95%CI: 1.04-1.23) and diabetes (β=1.78, 95%CI: 1.23-2.59) were higher in the urban municipalities than in rural municipalities. Finally, disease related services readiness index was sub-optimal with some degree of variation at the province level in Nepal. Province 2 for CVDs (β=0.83, 95%CI: 0.73-0.95), and province 4 (β =1.24, 95%CI: 1.07-1.43) and province 5 (β =1.17, 95%CI: 1.02-1.34) had higher readiness index compared to province 1.Conclusions: This study found a sub-optimal readiness of services related to three NCDs at the public facilities in Nepal. Compared to public facilities, private facilities showed higher readiness score for CVDs, diabetes and CRDs. To cope up with the growing burden of NCDs, urgent improvement in health services, particularly in public facilities are critical to manage common NCDs.

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Choice of health-care facility after introduction of free essential health services in Nepal

Cited by 21 publications

References 10 publications

Socio demographic determinants of health care seeking behaviour among tuberculosis patients admitted in the isolation ward of tertiary care hospital: a health belief model

Socio demographic determinants of health care seeking behaviour among tuberculosis patients admitted in the isolation ward of tertiary care hospital: a health belief model

Factors Associated with Clients' Satisfaction on Hospital Service Management of Province 1, Eastern Nepal

Health system's readiness to provide cardiovascular, diabetes and chronic respiratory disease related services in Nepal: analysis using 2015 health facility survey

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