| Literature DB >> 24007676 |
Wesley S Gibbert1, Shannon M Keating, Julie A Jacobs, Elizabeth Dodson, Elizabeth Baker, Gunter Diem, Wayne Giles, Kathleen N Gillespie, Vilius Grabauskas, Aushra Shatchkute, Ross C Brownson.
Abstract
INTRODUCTION: The Prevention Research Center in St. Louis developed a course on evidence-based public health in 1997 to train the public health workforce in implementation of evidence-based public health. The objective of this study was to assess use and benefits of the course and identify barriers to using evidence-based public health skills as well as ways to improve the course.Entities:
Mesh:
Year: 2013 PMID: 24007676 PMCID: PMC3767835 DOI: 10.5888/pcd10.130120
Source DB: PubMed Journal: Prev Chronic Dis ISSN: 1545-1151 Impact factor: 2.830
Characteristics of Participants in Online Survey of Evidence-Based Public Health Course (N = 358), 2005–2011a
| Characteristic | All | United States | International |
|---|---|---|---|
|
| |||
| United States | 296 (82.7) | — | — |
| International | 62 (17.3) | — | — |
|
| |||
| No. of respondents | 289 | 239 | 50 |
| State or local health department | 178 (61.6) | 173 (72.4) | 5 (10.0) |
| City or county health department | 33 (11.4) | 30 (12.6) | 3 (6.0) |
| National or regional health department | 18 (6.2) | — | 18 (36.0) |
| University | 25 (8.7) | 15 (6.3) | 10 (20.0) |
| Other | 35 (12.1) | 21 (8.8) | 14 (28.0) |
|
| |||
| No. of respondents | 277 | 229 | 48 |
| MD, DO, PhD, DrPH, or ScD | 62 (22.4) | 32 (14.0) | 30 (62.5) |
| MPH or MSPH | 50 (18.1) | 44 (19.2) | 6 (12.5) |
| MS, MSc, MA, or other master | 86 (31.0) | 74 (32.3) | 12 (25.0) |
| RN, RD, or NP | 23 (8.3) | 23 (10.0) | 0 |
| BA or BS | 56 (20.2) | 56 (24.5) | 0 |
|
| |||
| No. of respondents | 289 | 241 | 48 |
| Specialist | 76 (26.3) | 66 (27.4) | 10 (20.8) |
| Manager | 164 (56.7) | 142 (58.9) | 22 (45.8) |
| Academic | 21 (7.3) | 11 (4.6) | 10 (20.8) |
| Other | 28 (9.7) | 22 (9.1) | 6 (12.5) |
|
| 12.1 (8.4) | 12.4 (8.6) | 10.6 (7.3) |
Abbreviations: MD, doctor of medicine; DO, doctor of osteopathic medicine; PhD, doctor of philosophy; DrPH, doctor of public health; ScD, doctor of science; MPH, master of public health; MSPH, master of science in public health; MS, MSC, master of science; MA, master of arts; RN, registered nurse; RD, registered dietitian; NP, nurse practitioner; BA, bachelor of arts; BS, bachelor of science. Dashes (—) indicate that category does not apply.
All values are numbers (percentages) unless otherwise indicated. Not all respondents answered all questions.
US survey participants were given the following categories: state health department, city or county health department, university, and other. International participants were given the following: national or regional health department; university; state or local health department, and other.
Specialist includes health educator, epidemiologist, statistician, program planner, program evaluator, community health nurse, social worker, dietitian, and nutritionist.
Manager includes program manager, administrator, or coordinator, division or bureau head, division deputy director, and department head.
Percentage of Respondents Indicating Agreement With Use of, Benefits of, and Barriers to Using Evidence-Based Public Health (EBPH) Course Materials, by Location (All Participants) and Agency (US Participants Only), 2005–2011
| Survey Item | All Participants, % (n | US Participants Only, % (n | |||||
|---|---|---|---|---|---|---|---|
| Total (n = 358) | United States (n = 296) | International (n = 62) |
| State Health Department (n = 173) | Local Health Department (n = 30) |
| |
|
| |||||||
| Searched the scientific literature for information on programs. | 43 (308) | 41 (256) | 54 (52) | .08 | 39 (173) | 20 (30) | .04 |
| Used the EBPH materials/skills in modifying an existing program. | 25 (310) | 26 (257) | 25 (53) | .86 | 23 (173) | 17 (30) | .43 |
| Used the EBPH materials/skills in evaluating a program. | 27 (306) | 26 (254) | 33 (52) | .29 | 23 (171) | 27 (30) | .64 |
| Used the EBPH materials/skills in planning a new program. | 22 (309) | 21 (256) | 26 (53) | .40 | 19 (172) | 17 (30) | .80 |
| Referred to the EBPH readings that were provided. | 15 (308) | 12 (256) | 31 (52) | <.001 | 10 (172) | 3 (30) | .22 |
| Used the EBPH materials/skills for grant applications. | 9 (307) | 9 (254) | 9 (53) | >.99 | 8 (171) | 3 (30) | .35 |
|
| |||||||
| See applications for this knowledge in my work. | 81 (301) | 82 (249) | 79 (52) | .60 | 81 (173) | 73 (30) | .34 |
| Become a better leader who promotes evidence-based decision making. | 79 (299) | 80 (248) | 73 (51) | .25 | 80 (173) | 73 (30) | .38 |
| Acquire knowledge about a new subject. | 79 (303) | 78 (250) | 85 (53) | .29 | 80 (173) | 63 (30) | .04 |
| Make scientifically informed decisions at work. | 72 (302) | 74 (249) | 64 (53) | .15 | 72 (173) | 67 (30) | .53 |
| Implement evidence-based practices in CDC cooperative agreement or other funded programs. | 59 (266) | 60 (248) | 50 (18) | .40 | 62 (173) | 43 (30) | .06 |
| Communicate better with coworkers. | 61 (297) | 59 (245) | 73 (52) | .05 | 59 (172) | 43 (30) | .10 |
| Teach others how to use/apply the information in the EBPH course. | 58 (299) | 58 (248) | 61 (51) | .68 | 56 (170) | 57 (30) | .98 |
| Read reports and articles. | 57 (299) | 57 (247) | 58 (52) | .94 | 55 (173) | 43 (30) | .24 |
| Develop a rationale for a policy change. | 53 (298) | 52 (246) | 58 (52) | .49 | 49 (172) | 53 (30) | .69 |
| Adapt an intervention to a community's needs while keeping it evidence based. | 53 (297) | 51 (247) | 60 (50) | .27 | 49 (172) | 50 (30) | .91 |
| Identify and compare the costs and benefits of a program or policy. | 49 (298) | 49 (247) | 51 (51) | .80 | 49 (173) | 45 (29) | .71 |
| Prepare a policy briefing for administrators or state or local legislative officials. | 31 (298) | 29 (247) | 41 (51) | .08 | 26 (172) | 33 (30) | .42 |
| Obtain funding for programs at work. | 30 (300) | 28 (248) | 38 (52) | .14 | 21 (173) | 50 (30) | .001 |
|
| |||||||
| There is not enough funding for continued training in EBPH. | 35 (293) | 30 (243) | 56 (50) | .001 | 29 (170) | 33 (30) | .67 |
| The people I work with do not have EBPH training. | 32 (294) | 29 (244) | 44 (50) | .04 | 28 (171) | 23 (30) | .59 |
| I do not have enough time to implement EBPH approaches. | 24 (292) | 21 (242) | 38 (50) | .01 | 20 (169) | 23 (30) | .69 |
| Within my agency there are no incentives to use EBPH. | 20 (294) | 19 (244) | 22 (50) | .66 | 19 (171) | 17 (30) | .73 |
| There was too much information and not enough time to process it. | 15 (295) | 14 (244) | 20 (51) | .30 | 15 (171) | 20 (30) | .45 |
| My organization does not have a culture that supports the use of EBPH approaches. | 14 (293) | 13 (243) | 18 (50) | .32 | 12 (170) | 13 (30) | .88 |
| The information was too complex. | 4 (293) | 5 (243) | 2 (50) | .41 | 4 (171) | 7 (30) | .53 |
| The information lacked relevance. | 3 (294) | 3 (244) | 4 (50) | .67 | 4 (171) | 0 (30) | .26 |
Abbreviation: CDC, Centers for Disease Control and Prevention.
Not all survey respondents answered all questions. The n’s in parentheses indicate the number of respondents who answered the question. Percentages were calculated by using the number who answered the question.
Determined by Pearson χ2 test.
Percentage of Respondents Indicating Agreement With Use of, Benefits of, and Barriers to Using Evidenced-Based Public Health (EBPH) Course Materials, by Job Type, 2005–2011
| Survey Item | Specialist, % (n | Manager, % (n | Academic, % (n |
|
|---|---|---|---|---|
|
| ||||
| Searched the scientific literature for information on programs. | 15 (75) | 15 (162) | 25 (20) | .51 |
| Used the EBPH materials/skills in planning a new program. | 18 (76) | 28 (163) | 15 (20) | .19 |
| Used the EBPH materials/skills in modifying an existing program. | 20 (76) | 31 (163) | 20 (20) | .13 |
| Used the EBPH materials/skills in evaluating a program. | 9 (75) | 11 (161) | 5 (20) | .66 |
| Referred to the EBPH readings that were provided. | 49 (76) | 41 (161) | 55 (20) | .33 |
| Used the EBPH materials/skills for grant applications. | 23 (75) | 30 (161) | 35 (20) | .38 |
|
| ||||
| Acquire knowledge about a new subject. | 75 (76) | 83 (163) | 70 (20) | .21 |
| See applications for this knowledge in my work. | 84 (76) | 83 (163) | 85 (20) | .98 |
| Become a better leader who promotes evidence-based decision making. | 76 (76) | 74 (163) | 70 (20) | .82 |
| Make scientifically informed decisions at work. | 67 (75) | 59 (160) | 47 (19) | .25 |
| Read reports and articles. | 60 (75) | 58 (163) | 47 (19) | .60 |
| Communicate better with coworkers. | 22 (76) | 33 (163) | 53 (19) | .03 |
| Identify and compare the costs and benefits of a program or policy. | 43 (74) | 58 (163) | 63 (19) | .08 |
| Implement evidence-based practices in CDC cooperative agreement or other funded programs. | 41 (76) | 55 (163) | 47 (19) | .14 |
| Teach others how to use/apply the information in the EBPH course. | 24 (76) | 36 (162) | 26 (19) | .15 |
| Develop a rationale for a policy change. | 57 (76) | 52 (162) | 67 (18) | .48 |
| Adapt an intervention to a community's needs while keeping it evidence based. | 58 (76) | 58 (163) | 79 (19) | .19 |
| Prepare a policy briefing for administrators or state or local legislative officials. | 54 (72) | 65 (148) | 69 (13) | .26 |
| Obtain funding for programs at work. | 71 (76) | 86 (163) | 68 (19) | .01 |
|
| ||||
| Within my agency there are no incentives to use EBPH. | 24 (76) | 25 (159) | 16 (19) | .66 |
| There is not enough funding for continued training in EBPH. | 3 (76) | 6 (160) | 0 (18) | .37 |
| I do not have enough time to implement EBPH approaches. | 3 (76) | 3 (160) | 5 (19) | .78 |
| The people I work with do not have EBPH training. | 12 (76) | 17 (161) | 21 (19) | .49 |
| My organization does not have a culture that supports the use of EBPH approaches. | 16 (75) | 13 (160) | 16 (19) | .82 |
| There was too much information and not enough time to process it. | 16 (76) | 22 (160) | 32 (19) | .27 |
| The information was too complex. | 34 (76) | 34 (159) | 53 (19) | .26 |
| The information lacked relevance. | 36 (76) | 30 (160) | 32 (19) | .70 |
Abbreviation: CDC, Centers for Disease Control and Prevention.
Not all survey respondents answered all questions. The n’s in parentheses indicate the number of respondents who answered the question. Percentages were calculated by using the number who answered the question.
Determined by Pearson χ2 test.