Quality of care in sterilization services at the public health facilities in India: A multilevel analysis

Abstract Background: Despite the improvements in the knowledge and understanding of the role of health information in the global health system, the quality of data generated by a routine health information system is still very poor in low and middle-income countries. There is a paucity of studies as to what determines data quality in health facilities in the study area. Therefore, this study was aimed to assess the quality of routine health information system data and associated factors in public health facilities of Harari region, Ethiopia.Methods: A cross-sectional study was conducted in all public health facilities in Harari region of Ethiopia. The department-level data were collected from respective department heads through document reviews, interviews, and observation check-lists. Descriptive statistics were used to data quality and multivariate logistic regression was run to identify factors influencing data quality. The level of significance was declared at P-value <0.05. Result: The study found a good quality data in 51.35% (95% CI, 44.6-58.1) of the departments in public health facilities in Harari Region. Departments found in the health centers were 2.5 times more likely to have good quality data as compared to departments found in the health posts. The presence of trained staffs able to fill reporting formats (AOR=2.474; 95%CI: 1.124-5.445) and provision of feedback (AOR=3.083; 95%CI: 1.549-6.135) were also significantly associated with data quality. Conclusion: The level of good data quality in the public health facilities was less than the expected national level. Training should be provided to increase the knowledge and skills of the health workers.

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Status of ANC-linked HIV counseling and testing as an intervention for PMTCT in public health facilities in Addis Ababa: quality of HIV counseling given to pregnant women for PMTCT

Ethiopian Journal of Health Development ◽

10.4314/ejhd.v23i3.53239 ◽

2010 ◽

Vol 23 (3) ◽

Author(s):

H Ismail ◽

A Ali

Keyword(s):

Public Health ◽

Pregnant Women ◽

Addis Ababa ◽

Health Facilities ◽

Hiv Counseling And Testing ◽

Hiv Counseling ◽

Public Health Facilities ◽

Counseling And Testing

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Assessment of prescription pattern at the public health facilities of Lucknow district

Indian Journal of Pharmacology ◽

10.4103/0253-7613.45148 ◽

2008 ◽

Vol 40 (6) ◽

pp. 243 ◽

Cited By ~ 9

Author(s):

Ranjeeta Kumari ◽

MZ Idris ◽

Vidya Bhushan ◽

Anish Khanna ◽

Monika Agrawal ◽

...

Keyword(s):

Public Health ◽

Health Facilities ◽

Prescription Pattern ◽

The Public ◽

Public Health Facilities

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Healthcare Expenditure on Childbirth in India: Two Part Model Analysis

Journal of Multidisciplinary Research in Healthcare ◽

10.15415/jmrh.2018.51001 ◽

2018 ◽

Vol 5 (1) ◽

Author(s):

Sumit Kumar ◽

Mandeep Kaur

Keyword(s):

Public Health ◽

Health Insurance ◽

Diagnostic Tests ◽

Healthcare Expenditure ◽

Economic Status ◽

Health Facilities ◽

Public Health Facilities ◽

Status Occupation ◽

Part Model

The aim of the study is to estimate the extent and determinants of healthcare expenditure of inpatients on childbirth in India. The study is based on sample of 14510 women who gave birth to a child (whether live or still-birth, vaginal or caesarean). To estimate the determinants two-part models has been utilised. The results indicate that women spent on average around INR 9103 per childbirth in hospitals. There are also wide variations in the spending pattern of women on childbirth. Household size, economic status, occupation, religion, and caste impact the expenditure on childbirth in hospitals. There are also wide variations in the spending of women belonging to different geo-graphical locations of India. Surgeries/caesarean or utilisation of facilities like special room and diagnostic tests etc. also significantly increase the expenditure. Women opting for public health facilities or having insurance spend less as compared to others. Government of India should increase investment in health to strengthen its current infrastructure. There is dire need to improve the quality of public health facilities, to reduce the regional imbalances in health facilities, to improve the coverage of health insurance in India for equitable and pro-people health facilities.

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Level of Quality of Option B+PMTCT Service Provision in Public Health Facilities in Mekelle Zone, Northern Ethiopia: Cross-sectional study

10.21203/rs.2.16861/v1 ◽

2019 ◽

Author(s):

Kiros Fenta Ajemu ◽

Alem Desta

Keyword(s):

Public Health ◽

Maternal Health Services ◽

Cross Sectional Study ◽

Health Facilities ◽

Northern Ethiopia ◽

Sectional Study ◽

Cross Sectional ◽

Public Health Facilities ◽

Output Quality

Abstract Background Substantial improvements have been observed in coverage and access to maternal health services in Ethiopia. However, quality of care has been lagging behind. Therefore, the aim of the study was to assess quality of OptionB + in Mekelle Zone, Northern Ethiopia.Methods Facility based cross-sectional study involving both quantitative and qualitative methods was conducted from December 2016- January 2017. The quality of service delivery was assessed in 11 public health facilities in Mekelle. Data collection was conducted using facility audit, observation, and client exit interview check list to assess (Input-Process–Output) quality components. Similarly in-depth interview guide was used to gather qualitative data. Data were analyzed using SPSS version 21 software. Descriptive statistics were computed to summarize the study findings and triangulation was made with qualitative findings.Results Overall, 2 (16.7%) of study health facilities full filled all the three quality components but none in 3(25%). The input quality component was better than the others in which 4(33.3%) facilities were rated as good. The process and output quality components were judged as good in 3(25%) study health facilities.Conclusion Only 16.7% of facilities studied were achieved good quality with respect to the three predetermined quality components. Since, assessed items in each quality component were potentially easy to intervene; strengthening program monitoring needed by program managers at each level of the health facilities.

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