scholarly journals Outcome evaluation of capacity building and mentorship partnership (CBMP) program on data quality in the public health facilities of Amhara National Regional State, Ethiopia: a quasi-experimental evaluation

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Melaku Birhanu Alemu ◽  
Asmamaw Atnafu ◽  
Tsegaye Gebremedhin ◽  
Berhanu Fikadie Endehabtu ◽  
Moges Asressie ◽  
...  
Keyword(s):  
Public Health ◽  
Data Quality ◽  
Capacity Building ◽  
Health Facility ◽  
Health Data ◽  
Outcome Evaluation ◽  
Health Facilities ◽  
The Public ◽  
Public Health Facilities ◽  
Regional State

Abstract Background Capacity Building and Mentorship Partnership (CBMP) is a flagship program designed by the Ethiopian Ministry of Health in collaboration with six local universities to strengthen the national health information system and facilitate evidence-informed decision making through various initiatives. The program was initiated in 2018. This evaluation was aimed to assess the outcome of CBMP on health data quality in the public health facilities of Amhara National Regional State, Ethiopia. Methods A matched comparison group evaluation design with a sequential explanatory mixed-method was used to evaluate the outcome of CBMP on data quality. A total of 23 health facilities from the intervention group and 17 comparison health facilities from a randomly selected district were used for this evaluation. The Organization for Economic Cooperation and Development (OECD) evaluation framework with relevance, effectiveness, and impact dimensions was used to measure the program’s outcome using the judgment parameter. The program’s average treatment effect on data quality was estimated using propensity score matching (PSM). Results The overall outcome of CBMP was found to be 90.75 %. The mean data quality in the intervention health facility was 89.06 % [95 %CI: 84.23, 93.88], which has a significant mean difference with the comparison health facilities (66.5 % [95 % CI: 57.9–75]). In addition, the CBMP increases the data quality of pilot facilities by 27.75 % points [95 %CI: 17.94, 37.58] on the nearest neighboring matching. The qualitative data also noted that there was a data quality problem in the health facility and CBMP improved the data quality gap among the intervention health facilities. Conclusions The outcome of the CBMP was highly satisfactory. The program effectively increased the data quality in the health facilities. Therefore, the finding of this evaluation can be used by policymakers, program implementers, and funding organizations to scale the program at large to improve the overall health data quality for health outcome improvement.

Quality of Routine Health Information System Data and Associated Factors Among Departments in Public Health Facilities of Harari Region, Ethiopia

2021 ◽  
Author(s):  
Adisu Tafari Shama ◽  
Hirbo Shore Roba ◽  
Admas Abera ◽  
Negga Baraki
Keyword(s):  
Public Health ◽  
Information System ◽  
Data Quality ◽  
Health Information ◽  
Health Information System ◽  
Health Facilities ◽  
Quality Data ◽  
Public Health Facilities ◽  
System Data

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.

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

2008 ◽  
Vol 40 (6) ◽  
pp. 243 ◽  
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

scholarly journals Effect of Social Correlates on Employee Performance in Public Health Facilities, Turbo Sub County, Kenya

2018 ◽  
Vol 6 (5) ◽  
Author(s):  
Mercy Adoyo K’osuri ◽  
Ann Kalei ◽  
Robert Onyango
Keyword(s):  
Public Health ◽  
Random Sampling ◽  
Employee Performance ◽  
Employee Participation ◽  
Health Facilities ◽  
High Achievers ◽  
Health Staff ◽  
Social Correlates ◽  
The Public ◽  
Public Health Facilities

In this globalized era, organizations certainly require employees who are high achievers. This calls for a high demand for professionals with skills, hence organizations are virtually required to embrace their preferences through socially innovative practices. Civil service employees in Kenya, who include the Ministry of Health staff performance is below expectations thus service delivery is compromised. In this regard the current study was designed to assess the effect of social correlates on employees’ performance in the public health sector in Turbo Sub-County. The study was guided by the following specific objectives: To examine the effect of supervisors support on employee performance and to analyze the effect of employee participation on employee performance. Conservation of Resources Theory and Social Exchange Theory had the potential to provide a conceptual guide in maximizing employee performance. The study adopted a descriptive survey design based on samples drawn from across the public health facilities in Turbo Sub-County. The target population was 332. A two-stage sampling technique was adopted where cluster random sampling was used to select the Public health facilities after which simple random sampling were used to select respondents within the facilities. The study used Krejcie and Morgan table,(1970) to calculate the sample size which was 181 respondents. Data was collected by use of self-administered questionnaires. Data analysis was done by use of both inferential and descriptive statistics using SPSS version 20. Results of multiple regressions revealed that social correlates jointly and independently influenced employee performance in public health facilities in Turbo Sub-County, Kenya. Jointly the two constructs namely supervisors support and employee participation contributed 51.4% of the variation in employee performance (Adjusted R Square = 0.514). There was a positive and significant correlation between supervisors support and employee participation was: r=.660*, r= .450* to employee performance. All these together led to the rejection of the null hypothesis. This implies that the management of public health facilities should pay high premiums in strategically formulating and implementing social correlates which can effectively galvanize employee motivation and performance. Social correlates should be bundled through mutually consistent policies to enhance their synergy in achieving high employee performance.

scholarly journals Patient and health system factors associated with pretreatment loss to follow up among patients diagnosed with tuberculosis using Xpert® MTB/RIF testing in Uganda

2020 ◽  
Author(s):  
Stella Zawedde-Muyanja ◽  
Achilles Katamba ◽  
Adithya Cattamanchi ◽  
Barbara Castelnuovo ◽  
Yukari C Manabe
Keyword(s):  
Public Health ◽  
Health Facility ◽  
High Volume ◽  
Health Facilities ◽  
High Rate ◽  
Loss To Follow Up ◽  
Public Health Facilities ◽  
Factors Associated ◽  
Tb Treatment

Abstract Background: In 2018, Uganda started only 65% of persons with incident tuberculosis on treatment. Pretreatment loss to follow up is an important contributor to suboptimal treatment coverage. We aimed to describe the patient and health facility-level characteristics associated with pretreatment loss to follow up among patients diagnosed with pulmonary tuberculosis at public health facilities in Uganda. Methods: At ten public health facilities, laboratory register data was used to identify patients aged 15 years who had a positive Xpert®MTB/RIF test. Initiation on TB treatment was ascertained using the clinical register. Factors associated with not being initiated on TB treatment within two weeks of diagnosis were examined using a multilevel logistic regression model accounting for clustering by health facility. Results:From January to June 2018, 510 patients (61.2% male and 31.5% HIV co-infected) were diagnosed with tuberculosis. One hundred (19.6%) were not initiated on TB treatment within two weeks of diagnosis. Not having a phone number recorded in the clinic registers (aOR 7.93, 95%CI 3.93-13.05); being HIV-infected (aOR 1.83; 95% CI: 1.09-3.26) and receiving care from a high volume health facility performing more than 12 Xpert tests per day (aOR 4.37, 95%CI 1.69-11.29) and were significantly associated with pretreatment loss to follow up. Conclusion: In public health facilities in Uganda, we found a high rate of pretreatment loss to follow up especially among TBHIV co-infected patients diagnosed at high volume health facilities. Interventions to improve the efficiency of Xpert® MTB/RIF testing, including monitoring of the TB care cascade should be developed and implemented.

Sign in / Sign up

Export Citation Format

Share Document