Quantifying the Value of Prevention: A Survey of Public Health Departments' Quantitative and Economic Modeling Capacity
| Autor: | Steven M. Teutsch, Natalie Rhoads, Kimberly Narain, J. Mac McCullough, Frederick J. Zimmerman, Jonathan E. Fielding |
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| Rok vydání: | 2019 |
| Předmět: |
medicine.medical_specialty
Population Sample (statistics) 03 medical and health sciences 0302 clinical medicine Surveys and Questionnaires medicine Humans 030212 general & internal medicine education Sampling frame Accreditation Response rate (survey) education.field_of_study Medical education Local Government 030505 public health Health Policy Public health Public Health Environmental and Occupational Health Primary Prevention Models Economic Economic model Public Health 0305 other medical science Psychology Health department |
| Zdroj: | Journal of Public Health Management and Practice. 25:E18-E26 |
| ISSN: | 1078-4659 |
| DOI: | 10.1097/phh.0000000000000988 |
| Popis: | Objective To improve the understanding of local health departments' (LHDs') capacity for and perceived barriers to using quantitative/economic modeling information to inform policy and program decisions. Design We developed, tested, and deployed a novel survey to examine this topic. Setting The study's sample frame included the 200 largest LHDs in terms of size of population served plus all other accredited LHDs (n = 67). The survey was e-mailed to 267 LHDs; respondents completed the survey online using SurveyMonkey. Participants Survey instructions requested that the survey be completed from the perspective of the entire health department by LHD's top executive or designate. A total of 63 unique LHDs responded (response rate: 39%). Main outcome measure(s) Capacity for quantitative and economic modeling was measured in 5 categories (routinely use information from models we create ourselves; routinely use information from models created by others; sometimes use information from models we create ourselves; sometimes use information from models created by others; never use information from modeling). Experience with modeling was measured in 4 categories (very, somewhat, not so, not at all). Results Few (9.5%) respondents reported routinely using information from models, and most who did used information from models created by others. By contrast, respondents reported high levels of interest in using models and in gaining training in their use and the communication of model results. The most commonly reported barriers to modeling were funding and technical skills. Nearly all types of training topics listed were of interest. Conclusions Across a sample of large and/or accredited LHDs, we found modest levels of use of modeling coupled with strong interest in capacity for modeling and therefore highlight an opportunity for LHD growth and support. Both funding constraints and a lack of knowledge of how to develop and/or use modeling are barriers to desired progress around modeling. Educational or funding opportunities to promote capacity for and use of quantitative and economic modeling may catalyze use of modeling by public health practitioners. |
| Databáze: | OpenAIRE |
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