| Literature DB >> 28333982 |
Carey Roth Bayer1,2, L Lerissa Smith1, Renée Volny Darko1, Marissa McKool1, Fengxia Yan3, Harry Heiman1,4.
Abstract
PURPOSE: We assessed the training needs of health policy leaders and practitioners across career stages; identified areas of core content for health policy training programs; and, identified training modalities for health policy leaders.Entities:
Mesh:
Year: 2017 PMID: 28333982 PMCID: PMC5363845 DOI: 10.1371/journal.pone.0174054
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Demographics Characteristics of Participants.
| Characteristic | Total, % (n) |
|---|---|
| Female | 54 (33) |
| Male | 44 (27) |
| Transgender | 2 (1) |
| 25-35 | 18 (11) |
| 36-45 | 12 (7) |
| 46-55 | 18 (11) |
| 56-65 | 19 (12) |
| >65 | 33 (20) |
| Bachelor's Degree | 7 (4) |
| Master's degree | 18 (11) |
| Doctoral degree | 75 (46) |
| African American/Black | 21 (13) |
| Asian/Pacific Islander | 2 (1) |
| Other | 3 (2) |
| Caucasian/ White | 74 (45) |
| Yes | 2 (1) |
| No | 98 (59) |
| $10,000-$25,000 | 5 (3) |
| $25,001-$40,000 | 0 (0) |
| $40,001-$55,000 | 2 (1) |
| $55,001-$75,000 | 10 (6) |
| 75,001-$100,000 | 12 (7) |
| Over $100,000 | 50 (30) |
| Prefer not to disclose | 22 (13) |
* Due to missing data not all categories have an N = 70
Top 5 Selected Knowledge Elements.
| Cost implications of health policies | 4 (3) | 33 (22) | 63 (42) |
| Intersection of policy and politics | 6 (4) | 37 (25) | 57 (38) |
| Local, state, and federal legislative processes | 1 (1) | 51 (34) | 48 (32) |
| Policy analysis | 2 (1) | 66 (43) | 32 (21) |
| Role of research in policy development | 7 (5) | 66 (44) | 27 (18) |
| Intersection of policy and politics | 1 (1) | 45 (30) | 54 (36) |
| Local, state, and federal legislative processes | 2 (1) | 58 (39) | 40 (27) |
| Policy analysis | 0 (0) | 66 (42) | 34 (22) |
| Breadth and scope of health policy | 0 (0) | 71 (47) | 29 (19) |
| Dimensions of good policies | 0 (0) | 72 (47) | 28 (18) |
*Due to missing data not all categories have an N = 70
Top 5 ranking was calculated only for knowledge categories identified as critical
Some percentages are not consistent with the frequencies due to missing values
The Most Frequently Selected 7 Attribute Elements.
| Important to my individual training needs as a health policy leader (%) | Important to training needs of health policy leaders as a whole (%) | |
|---|---|---|
| Rank | Attribute (%) | Attribute (%) |
| 1 | Integrity (41) | Integrity (43) |
| 2 | Professionalism (32) | Professionalism (35) |
| 3 | Perseverance (30) | Being organized (34) |
| 4 | Passion (27) | Open mindedness (32) |
| 5 | Open mindedness (26) | Motivation (28) |
| 6 | Being organized (25) | Perseverance (25) |
| 7 | Motivation (23) or Empathy(23) | Passion(22) or Empathy (22) |
Raw sample size not included as participants ranked top 7 attributes from a list of 24
Top 10 Selected Skill Elements.
| Effective communication skills | 0 | 37 (23) | 63 (39) |
| Critical thinking skills | 0 | 47 (29) | 53 (33) |
| Engaging decision makers | 2 (1) | 45 (28) | 53 (33) |
| Engaging stakeholders | 2 (1) | 48 (30) | 50 (31) |
| Leadership skills | 2 (1) | 59 (36) | 39 (24) |
| Garnering political support | 10 (6) | 53 (33) | 37 (23) |
| Cultural competency skills | 3 (2) | 61 (38) | 35 (22) |
| Crafting health policy messages | 7 (4) | 61 (37) | 33 (20) |
| Presentation skills | 2 (1) | 66 (40) | 33 (20) |
| Advocacy skills | 6 (4) | 61 (38) | 32 (20) |
| Negotiation skills | 6 (4) | 61 (38) | 32 (20) |
| Effective communication skills | 0 | 37 (23) | 63 (39) |
| Engaging stakeholders | 0 | 43 (27) | 57 (36) |
| Engaging decision makers | 0 | 46 (29) | 54 (34) |
| Critical thinking skills | 0 | 49 (31) | 51 (32) |
| Garnering political support | 2 (1) | 56 (35) | 42 (26) |
| Leadership skills | 0 | 60 (36) | 40 (24) |
| Cultural competency skills | 3 (2) | 59 (37) | 38 (24) |
| Assessing strengths and weakness of various policies | 0 | 65 (41) | 35 (22) |
| Crafting health policy messages | 2 (1) | 63 (39) | 35 (22) |
| Negotiation skills | 2 (1) | 66 (41) | 32 (20) |
| Networking skills | 3 (2) | 65 (40) | 32 (20) |
* Due to missing data not all categories have an N = 70
Some percentages are not consistent with the frequencies due to missing values