| Literature DB >> 30115050 |
Jill Murphy1, Kitty K Corbett2, Dang Thuy Linh3, Pham Thi Oanh3, Vu Cong Nguyen3.
Abstract
BACKGROUND: Although the prevalence of depression in Vietnam is on par with global rates, services for depression are limited. The government of Vietnam has prioritized enhancing depression care through primary healthcare (PHC) and efforts are currently underway to test and scale-up psychosocial interventions throughout the country. With these initiatives in progress, it is important to understand implementation factors that might influence the successful integration of depression services into PHC. As the implementers of these new interventions, primary care providers (PHPs) are well placed to provide important insight into implementation factors affecting the integration of depression services into PHC. This mixed-methods study examines factors at the individual, organizational and structural levels that may act as barriers and facilitators to the integration of depression services into PHC in Vietnam from the perspective of PHPs.Entities:
Keywords: Depression; Global mental health; Implementation; Mixed methods; Primary care; Vietnam
Mesh:
Year: 2018 PMID: 30115050 PMCID: PMC6097413 DOI: 10.1186/s12913-018-3416-z
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Hypothesized study variables and analytical framework
| Level | |
|---|---|
| Motivation | |
| Internal | |
| Attitude, Stigma and Discrimination | |
| Familiarity with people with mental illness (depressive symptoms) [ | Individual |
| Explanatory models and health beliefs (including aetiological beliefs)a | Individual |
| Perceived need/ perception of mental illness as significant in primary care [ | Individual |
| Perceived role and workload [ | Individual |
| Perceptions of people with mental disorders (including characterizations of people with mental illness and social distance measures) [ | Individual |
| External | |
| Social/ cultural environment and normsa | Structural |
| National or organizational priorities in the health sector [ | Structural |
| Information | |
| Training in mental health [ | Individual/Structural |
| In-service training and ongoing supervision [ | Individual/Organizational/Structural |
| Power | |
| Capacity | |
| Resource availability: medicines and equipment, financial, personnel, space, etc. [ | Organizational |
| Perceived workload [ | Individual/ Organizational |
| Perceived self-efficacy [ | Individual |
| Control | |
| Leadership or champion within organization [ | Organizational |
aResults related to this variable are published elsewhere (Murphy et al., [16])
Professional characteristics of the survey sample by gender
| Female ( | Male ( | Alla | |
|---|---|---|---|
| Profession | |||
| Physician | 47 (66.2%) | 24 (33.8%) | 71 (31.4%) |
| PAs | 63 (57.3%) | 47 (42.7%) | 110 (48.6%) |
| Otherb | 32 (78.0%) | 9 (21.9%) | 41 (18.1%) |
| Totala | 142 | 80 | 222 |
| Urban or rural | |||
| Urban | 38 (73.0%) | 14 (26.9%) | 52 (23.0%) |
| Rural | 108 (62.0%) | 66 (37.9%) | 174 (76.9%) |
| Totala | 146 | 80 | 226 |
aTotal varies due to missing data
bNurses (66%), midwives (10%), TVM practitioners (5%), unspecified (19%)
Perceived depression prevalence in CHS patient population
| In your opinion, how widespread (WS) are CMDs like depression among the patients that visit your CHS? | ||||||
|---|---|---|---|---|---|---|
| Very Widespread (%) | Moderately Widespread (%) | Not Widespread (%) | N/A | Row N | Chi-square and | |
| Profession | ||||||
| Physicians | 16% | 25% | 58% | 1% | 71 | |
| PA’s | 3% | 20% | 71% | 6% | 110 | |
| Other | 2% | 24% | 63% | 10% | 41 | |
| All | 7% | 23% | 64% | 5.7% | 222 | 17.3145; .008** |
| Location | ||||||
| Urban | 2% | 14% | 78% | 6% | 50 | |
| Rural | 8% | 25% | 63% | 5% | 177 | |
| All | 5% | 19.5% | 70.5% | 5.5% | 227 | 5.4683; .141* |
| Gender | ||||||
| Female | 8% | 18% | 69% | 5% | 147 | |
| Male | 4% | 31% | 60% | 5% | 77 | |
| All | 6% | 24.5% | 64.5% | 5% | 224 | 6.1118; .106* |
*The result is not significant at p < .05
**The result is significant at p < .05
Perceived prevalence of depression in community population
| In your opinion, how prevalent are CMDs like depression in the community in general? | |||||||
|---|---|---|---|---|---|---|---|
| High prev. | Mod. high prev. | Mod. low prev. | Very low prev. | N/A | Row N | Chi-square and | |
| (%) | (%) | (%) | (%) | (%) | |||
| Profession | |||||||
| Physicians | 19% | 33% | 33% | 15% | 0% | 69 | |
| PAs | 3% | 37% | 35% | 24% | 2% | 113 | |
| Other | 0% | 29% | 51% | 15% | 5% | 41 | |
| All | 11% | 33% | 39% | 18% | 3.5% | 223 | 28.3482; .000** |
| Location | |||||||
| Urban | 2% | 37% | 40% | 21% | 0% | 52 | |
| Rural | 9% | 33% | 36% | 19% | 2% | 177 | |
| All | 5.5% | 35% | 38% | 20% | 1% | 229 | 4.343; .362* |
| Gender | |||||||
| Female | 8% | 32% | 36% | 21% | 3% | 145 | |
| Male | 6% | 36% | 39% | 19% | 0% | 80 | |
| All | 7% | 34% | 37.5% | 20% | 1.5% | 225 | 3.0946; .542* |
*The result is not significant at p < .05
**The result is significant at p < .05
PHP reported pre- and in-service training in mental health and interest in additional training
| Received pre-service training about mental health | Received in-service training about mental health | I would like to learn more about diagnosing and treating people with depression | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Profession | Yes (%) | No (%) | Row N | Chi-square and | Yes (%) | No (%) | Row N | Chi-square and | Strongly agree (%) | Somewhat Agree (%) | Disagree+ % | Row N | Chi-square and p-value |
| Physicians | 95 | 6 | 71 | 83 | 17 | 71 | 78 | 19 | 3 | 68 | |||
| PA’s | 77 | 23 | 113 | 67 | 33 | 113 | 71 | 29 | 1 | 112 | |||
| Other | 68 | 33 | 40 | 72 | 28 | 39 | 78 | 22 | 0 | 41 | |||
| All | 80 | 2 | 224 | 14.0425; .001** | 74 | 26 | 223 | 5.6048; .061* | 75 | 24 | 1 | 221 | 4.8587;.562* |
| Location | |||||||||||||
| Urban | 77 | 23 | 52 | 75 | 25 | 52 | 69 | 28 | 3 | 51 | |||
| Rural | 81 | 19 | 177 | 71 | 29 | 176 | 76 | 23 | 1 | 175 | |||
| All | 79 | 21 | 229 | 0.3746; .541* | 73 | 27 | 228 | 0.3145; .575* | 72.50 | 25.50 | 2 | 226 | 4.268; .234* |
| Gender | |||||||||||||
| Female | 82 | 18 | 146 | 73 | 27 | 145 | 72 | 26 | 1 | 145 | |||
| Male | 80 | 20 | 80 | 71 | 29 | 80 | 81 | 18 | 1 | 78 | |||
| All | 81 | 19 | 226 | 0.1641; .685* | 72 | 28 | 225 | 28.6522; <.00001** | 76.50 | 22 | 1 | 223 | 2.7656; .429* |
*The result is not significant at p < .05
**The result is significant at p < .05
Somewhat disagree and strongly disagree categories were collapsed as cell size was too small for p-value calculation
Social distance measures
| I would be willing to spend time socially with a friend who has been diagnosed with depression | I would have confidence in the ability of a colleague who had had depression to do her job effectively | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Strongly agree (%) | Somewhat agree (%) | Disagree+ (%) | Row N | Chi-square and | Strongly agree % (N) | Somewhat agree % (N) | Disagree+ % (N) | Row N | Chi-square and | |
| Profession | ||||||||||
| Physicians | 76 | 23 | 0 | 70 | 44 | 44 | 11% (8) | 70 | ||
| PA’s | 72 | 24 | 4 | 111 | 35 | 52 | 12% (14) | 113 | ||
| Other | 85 | 15 | 0 | 41 | 46 | 39 | 15% (6) | 41 | ||
| All | 77 | 21 | 2 | 222 | 4.2537; .642* | 42 | 45 | 12.50 | 224 | 4.2537; .642* |
| Location | ||||||||||
| Urban | 79 | 19 | 2 | 52 | 39% (20) | 50% (26) | 10% (6) | 52 | ||
| Rural | 74 | 23 | 3 | 175 | 40% (70) | 47% (83) | 13% (23) | 176 | ||
| All | 76.50 | 21 | 2 | 227 | 0.9699; .809* | 39.50% | 48.50% | 13% | 228 | 0.1607; .984* |
| Gender | ||||||||||
| Female | 78 | 19 | 3 | 145 | 40% (58) | 46% (67) | 14% (20) | 145 | ||
| Male | 73 | 25 | 0 | 79 | 41% (33) | 48% (38) | 11% (9) | 80 | ||
| All | 75.50 | 22 | 1.50 | 224 | 4.7084; .194* | 40.5 | 47% | 13% | 225 | 0.509; .917* |
*The result is not significant at p < .05
+Somewhat disagree and strongly disagree categories were collapsed as cell size was too small for p-value calculation