scholarly journals Health Workers’ Perceptions on Data-informed Decision Making practice in Primary Health Care Units at Awi Zone, Northwest Ethiopia (Preprint)

2019 ◽  
Author(s):  
Habtamu Alganeh Guadie ◽  
Kassahun Dessie Gashu ◽  
Atsede Mazengia Shiferaw

BACKGROUND Background: Data-informed decision making is influenced by organizational, technical and behavioral factors. Behavioral factors are the major contributing ones for data-informed decision making practice. OBJECTIVE This study aimed to explore health workers’ perception on data-informed decision making at primary health care units of Awi zone. METHODS Method: A qualitative study was undertaken to explore health workers’ perception on the barriers of health data-informed decision making practice. Eleven healthcare workers were purposively selected from Primary Hospital, Health centers and Health posts. Medical Doctors, Nurses, Midwifes and Health Extension Workers were selected as key informant for in-depth interview. The selected healthcare workers were asked about their perceptions that affect health data use practice. A thematic analysis was carried out using OpenCode software. Analysis was performed with three identified themes namely; organizational, behavioral and technical themes. RESULTS Results: All the respondents were aware of data-informed decision making at the point of care. Some had experienced taking notes from their customers, and most witnessed they are negligent to write all details. They also expressed their feelings that registration book timely availability had an impact on their utilization practice of data-informed decision making. CONCLUSIONS Conclusion: Health workers are well aware of the practice of data-informed decision making at the point of service delivery. Behavioral, organizational and technical factors major contributing ones. CLINICALTRIAL

2017 ◽  
Vol 101 ◽  
pp. 9-14 ◽  
Author(s):  
Araya Abrha Medhanyie ◽  
Mark Spigt ◽  
Henock Yebyo ◽  
Alex Little ◽  
Kidane Tadesse ◽  
...  

2021 ◽  
Vol 21 (S1) ◽  
Author(s):  
Amani Siyam ◽  
Por Ir ◽  
Dararith York ◽  
James Antwi ◽  
Freddie Amponsah ◽  
...  

Abstract Background Recording and reporting health data in facilities is the backbone of routine health information systems which provide data collected by health facility workers during service provision. Data is firstly collected in a register, to record patient health data and care process, and tallied into nationally designed reporting forms. While there is anecdotal evidence of large numbers of registers and reporting forms for primary health care (PHC) facilities, there are few systematic studies to document this potential burden on health workers. This multi-country study aimed to document the numbers of registers and reporting forms use at the PHC level and to estimate the time it requires for health workers to meet data demands. Methods In Cambodia, Ghana, Mozambique, Nigeria and Tanzania, a desk review was conducted to document registers and reporting forms mandated at the PHC level. In each country, visits to 16 randomly selected public PHC facilities followed to assess the time spent on paper-based recording and reporting. Information was collected through self-reports of estimated time use by health workers, and observation of 1360 provider-patient interactions. Data was primarily collected in outpatient care (OPD), antenatal care (ANC), immunization (EPI), family planning (FP), HIV and Tuberculosis (TB) services. Result Cross-countries, the average number of registers was 34 (ranging between 16 and 48). Of those, 77% were verified in use and each register line had at least 20 cells to be completed per patient. The mean time spent on recording was about one-third the total consultation time for OPD, FP, ANC and EPI services combined. Cross-countries, the average number of monthly reporting forms was 35 (ranging between 19 and 52) of which 78% were verified in use. The estimated time to complete monthly reporting forms was 9 h (ranging between 4 to 15 h) per month per health worker. Conclusions PHC facilities are mandated to use many registers and reporting forms pausing a considerable burden to health workers. Service delivery systems are expected to vary, however an imperative need remains to invest in international standards of facility-based registers and reporting forms, to ensure regular, comparable, quality-driven facility data collection and use.


2021 ◽  
Author(s):  
Xavier Bosch-Capblanch ◽  
Angela Oyo-Ita ◽  
Artur Manuel Muloliwa ◽  
Richard B Yapi ◽  
Christian Auer ◽  
...  

Abstract BackgroundFrontline health workers in remote, rural health facilities are the first contact of the formal health sector and are confronted with the need to make life-saving clinical and public health decisions. Appropriate health information systems (HIS) provide data to support the collection and use of data, thus facilitating decision-making. However, HIS focus on reporting and are unfit to support critical decisions at the peripheral level. Since data tools are paper-based in most primary health care settings, we have produced an innovative paper-based HIS (PHISICC), embracing all health care areas in primary health care, using a Human Centred Design, co-creation approach. The PHISICC tools aid decision-making, include recording and reporting and substitute the regular HIS tools. We are carrying out a cluster-randomised controlled trial in three African countries to assess the effects of PHISICC compared with the current systems, on data use and quality, quality of health care and health worker perceptions, in remote, rural settings.MethodsWe have selected study areas in rural zones of Côte d’Ivoire, Mozambique and Nigeria. Seventy health facilities in each country have been randomly allocated to using PHISICC tools or to continuing to use the regular HIS tools (35 per arm). We have selected three villages in the catchment area of each health facility to carry out surveys in 10 households each. Outcomes of interest include data quality and use, coverage of health services, health workers perceptions and other process and explanatory variables. DiscussionWe strive to contribute to producing robust evidence on health systems interventions, affecting people in remote, rural settings where the most vulnerable live. The PHISICC tools focus on decision-making rather than data and are meant to support health workers decisions as well as reporting to the higher levels of the system. Robust evidence on HIS can better find its way to high quality systematic reviews and guidance development to inform policy and practice.Trial registration: Pan African Clinical Trials Registry - PACTR201904664660639. Registered 01/04/2019, https://pactr.samrc.ac.za/Search.aspx.


PEDIATRICS ◽  
1981 ◽  
Vol 68 (5) ◽  
pp. 677-683
Author(s):  
R. Giel ◽  
M. V. de Arango ◽  
C. E. Climent ◽  
T. W. Harding ◽  
H. H. A. Ibrahim ◽  
...  

To ascertain the frequency of mental disorders in Sudan, Philippines, India, and Colombia, 925 children attending primary health care facilities were studied. Rates of between 12% and 29% were found in the four study areas. The range of mental disorders diagnosed was similar to that encountered in industrialized countries. The research procedure involved a two-stage screening in which a ten-item "reporting questionnaire" constituted the first stage. The study has shown that mental disorders are common among children attending primary health care facilities in four developing countries and that accompanying adults (usually the mothers) readily recognize and report common psychologic and behavioral symptoms when these are solicited by means of a simple set of questions. Despite this, the primary health workers themselves recognized only between 10% and 22% of the cases of mental disorder. The results have been used to design appropriate brief training courses in childhood mental disorders for primary health workers in the countries participating in the study.


1983 ◽  
Vol 13 (3) ◽  
pp. 105-108 ◽  
Author(s):  
J Patrick Vaughan ◽  
Gill Walt

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