scholarly journals Evidence-based decision making and promotion of physical activity among directors of local health departments

2018 ◽  
Vol 52 ◽  
pp. 90
Author(s):  
Leonardo Augusto Becker ◽  
Cassiano Ricardo Rech ◽  
Adriano Akira Ferreira Hino ◽  
Rodrigo Siqueira Reis
Keyword(s):  
Physical Activity ◽  
Decision Making ◽  
The State ◽  
Evidence Based ◽  
Local Health ◽  
Cross Sectional ◽  
Promotion Of Physical Activity ◽  
Municipal Administrators ◽  
Decision Making Model ◽  
Evidence Based Decision Making

OBJECTIVE: To describe the steps involved in evidence-based decision making for the implementation of programs aimed at the promotion of physical activity. METHODS: It is a descriptive, cross-sectional study with quali-quantitative approach, held with municipal health secretaries chosen deliberately by regional health representatives of the state of Paraná. A total of 27 secretaries participated in a telephone interview consisting of 17 open questions. Content analysis was conducted according to the categories of an evidencebased decision-making model consisting of seven steps. RESULTS: None of the participants employed every step of the evidence-based decision-making model. The steps that were most often mentioned included: evaluation of the program (33.3%), use of evidence from the literature (22.2%) and identification of the problem (22.2%). The steps that were reported the least included: quantification of the problem (14.8%), development and prioritization of actions (14.8%), development of the plan of action (14.8%) and evaluation of the community (3.7%). CONCLUSIONS: The use of evidence-based decision making in the context of the promotion of physical activity was shown to be incipient among the health secretaries of the state of Paraná. We suggest widening dissemination and training on the use of evidence-based decision making among municipal administrators to increase the effectiveness of actions for promotion of physical activity.

scholarly journals Commitment Levels of Health Care Providers in Using the District Health Information System and the Associated Factors for Decision Making in Resource-Limited Settings: Cross-sectional Survey Study

10.2196/23951 ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. e23951
Author(s):  
Shuma G Kanfe ◽  
Berhanu F Endehabtu ◽  
Mohammedjud H Ahmed ◽  
Nebyu D Mengestie ◽  
Binyam Tilahun
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Health Care Providers ◽  
Data Use ◽  
Health Information System ◽  
Evidence Based ◽  
Care Providers ◽  
District Health ◽  
Cross Sectional ◽  
Evidence Based Decision Making

Background Changing the culture of information use, which is one of the transformation agendas of the Ministry of Health of Ethiopia, cannot become real unless health care providers are committed to using locally collected data for evidence-based decision making. The commitment of health care providers has paramount influence on district health information system 2 (DHIS2) data utilization for decision making. Evidence is limited on health care providers’ level of commitment to using DHIS2 data in Ethiopia. Therefore, this study aims to fill this evidence gap. Objective This study aimed to assess the levels of commitment of health care providers and the factors influencing their commitment levels in using DHIS2 data for decision making at public health care facilities in the Ilu Aba Bora zone of the Oromia national regional state, Ethiopia in 2020. Methods The cross-sectional quantitative study supplemented by qualitative methods was conducted from February 26, 2020 to April 17, 2020. A total of 264 participants were approached. SPSS version 20 software was used for data entry and analysis. Descriptive and analytical statistics, including bivariable and multivariable analyses, were performed. Thematic analysis was conducted for the qualitative data. Results Of the 264 respondents, 121 (45.8%, 95% CI 40.0%-52.8%) respondents showed high commitment levels to use DHIS2 data. The variables associated with the level of commitment to use DHIS2 data were found to be provision of feedback for DHIS2 data use (adjusted odds ratio [AOR] 1.85, 95% CI 1.02-3.33), regular supervision and managerial support (AOR 2.84, 95% CI 1.50-5.37), information use culture (AOR 1.92, 95% CI 1.03-3.59), motivation to use DHIS2 data (AOR 1.80, 95% CI 1.00-3.25), health needs (AOR 3.96, 95% CI 2.11-7.41), and competency in DHIS2 tasks (AOR 2.41, 95% CI 1.27-4.55). Conclusions In general, less than half of the study participants showed high commitment levels to use DHIS2 data for decision making in health care. Providing regular supportive supervision and feedback and increasing the motivation and competency of the health care providers in performing DHIS2 data tasks will help in promoting their levels of commitment that can result in the cultural transformation of data use for evidence-based decision making in health care.

scholarly journals Laying the Groundwork for Evidence-Based Public Health: Why Some Local Health Departments Use More Evidence-Based Decision-Making Practices Than Others

2015 ◽  
Vol 105 (S2) ◽  
pp. S189-S197 ◽  
Author(s):  
Kay A. Lovelace ◽  
Robert E. Aronson ◽  
Kelly L. Rulison ◽  
Jeffrey D. Labban ◽  
Gulzar H. Shah ◽  
...  
Keyword(s):  
Public Health ◽  
Decision Making ◽  
Evidence Based ◽  
Local Health ◽  
Health Departments ◽  
Local Health Departments ◽  
Evidence Based Decision Making

Factors Affecting Evidence-Based Decision Making in Local Health Departments

2013 ◽  
Vol 45 (6) ◽  
pp. 763-768 ◽  
Author(s):  
Collette D. Sosnowy ◽  
Linda J. Weiss ◽  
Christopher M. Maylahn ◽  
Sylvia J. Pirani ◽  
Nancy J. Katagiri
Keyword(s):  
Decision Making ◽  
Evidence Based ◽  
Local Health ◽  
Health Departments ◽  
Local Health Departments ◽  
Factors Affecting ◽  
Evidence Based Decision Making

scholarly journals Patterns and correlates of use of evidence-based interventions to control diabetes by local health departments across the USA

2018 ◽  
Vol 6 (1) ◽  
pp. e000558 ◽  
Author(s):  
Rachel G Tabak ◽  
Renee G Parks ◽  
Peg Allen ◽  
Rebekah R Jacob ◽  
Stephanie Mazzucca ◽  
...  
Keyword(s):  
Decision Making ◽  
Diabetes Control ◽  
Evidence Based ◽  
Local Health ◽  
Supporting Evidence ◽  
Health Departments ◽  
Local Health Departments ◽  
Positive Direction ◽  
Evidence Based Decision Making ◽  
Control Diabetes

ObjectiveThe nearly 3000 local health departments (LHDs) nationwide are the front line of public health and are positioned to implement evidence-based interventions (EBIs) for diabetes control. Yet little is currently known about use of diabetes-related EBIs among LHDs. This study used a national online survey to determine the patterns and correlates of the Centers for Disease Control and Prevention Community Guide-recommended EBIs for diabetes control in LHDs.Research design and methodsA cross-sectional study was conducted to survey a stratified random sample of LHDs regarding department characteristics, respondent characteristics, evidence-based decision making within the LHD, and delivery of EBIs (directly or in collaboration) within five categories (diabetes-related, nutrition, physical activity, obesity, and tobacco). Associations between delivering EBIs and respondent and LHD characteristics and evidence-based decision making were explored using logistic regression models.ResultsAmong 240 LHDs there was considerable variation among the EBIs delivered. Diabetes prevalence in the state was positively associated with offering the Diabetes Prevention Program (OR=1.28 (95% CI 1.02 to 1.62)), diabetes self-management education (OR=1.32 (95% CI 1.04 to 1.67)), and identifying patients and determining treatment (OR=1.27 (95% CI 1.05 to 1.54)). Although all organizational supports for evidence-based decision making factors were related in a positive direction, the only significant association was between evaluation capacity and identifying patients with diabetes and determining effective treatment (OR=1.54 (95% CI 1.08 to 2.19)).ConclusionSupporting evidence-based decision making and increasing the implementation of these EBIs by more LHDs can help control diabetes nationwide.

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