| Literature DB >> 31890894 |
Daniel Dejene1, Tegbar Yigzaw1, Samuel Mengistu2, Firew Ayalew1, Manuel Kahsaye1, Damtew Woldemariam1.
Abstract
BACKGROUND: Health workforce regulation plays key roles in ensuring the availability of competent health workers and improving performance of the health system. In 2010, Ethiopia established a national authority aiming to ensure competence and ethics of health professionals. Subsequently, subnational regulators were established and regulatory frameworks were developed. Although there were anecdotal reports of implementation gaps, there was lack of empirical evidence to corroborate the reports. We conducted a national study to explore health professional regulation practices and gaps focusing on registration, licensing, ethics, scope of practice, and continuing professional development.Entities:
Keywords: CPD; Ethics; Ethiopia; Health professional regulation; Licensing; Registration; SOP
Year: 2019 PMID: 31890894 PMCID: PMC6905006 DOI: 10.1186/s41256-019-0127-x
Source DB: PubMed Journal: Glob Health Res Policy ISSN: 2397-0642
Socio-demographic characteristics of study participants, exploring health workforce regulation practices and gaps, Ethiopia, 2015 (N = 554)
| Socio-demographic Characteristics | No. of participants (%) |
|---|---|
| Age in years | |
| 20–29 | 383 (69.1) |
| 30–39 | 120 (21.7) |
| 40 and above | 51 (9.2) |
| Sex | |
| Male | 291 (52.5) |
| Female | 263 (47.5) |
| Type of Health Facility | |
| Hospital | 154 (27.8) |
| Health Center | 400 (72.2) |
| work experience in Years | |
| 6 months to 2 Years | 108 (19.5) |
| 2 to 5 years | 200 (36.1) |
| More than 5 years | 246 (44.4) |
| Current profession | |
| Medical Doctor | 22 (4.0) |
| Health Officer | 102 (18.4) |
| Midwife | 102 (18.4) |
| Pharmacy | 102 (18.4) |
| Anesthetist | 22 (4.0) |
| Nurse | 102 (18.4) |
| Medical laboratory | 102(18.4) |
| Education level | |
| Vocational certificate | 291 (52.6) |
| First degree | 254 (45.8) |
| Postgraduate degree /specialization | 9 (1.6) |
Adherence to regulation requirements, exploring health workforce regulation practices and gaps, Ethiopia, 2015 (N = 554)
| Variables | No of Participants (%) |
|---|---|
| Registered for current profession | |
| Yes | 374(67.5) |
| No | 180 (32.5) |
| Renewed professional license ( | |
| Yes | 67 (27.2) |
| No | 179 (72.8) |
| Evidence for professional licensurea | |
| Certificate of any in-service training | 24 (35.8) |
| CPD credit hours | 11 (16.4) |
| Evidence for fitness for practice (ethical and competence letter and medical certificate) | 47 (70.1) |
| Not asked for any evidence for re-licensing | 18 (26.8) |
| Reasons for requiring professional license: ( | |
| Personal interest | 21 (31.3) |
| Required by the institution s/he is working | 27 (40.3) |
| Because it is a rule | 11 (16.4) |
| Others | 8 (11.9) |
| Read ethics and code of conduct related document | |
| Yes | 304 (54.9) |
| No | 250 (45.1) |
| Actions against malpractice by colleague | |
| Took no action | 109 (19.7) |
| Reported him/her to supervisor/facility manager | 210 (37.9) |
| Gave professional feedback/advice | 235(42.4) |
aTotals are greater than 100% because a participant could have multiple responses and hence percentage is derived from multiple responses
Experiences regarding Scope of Practice, exploring health workforce regulation practices and gaps, Ethiopia, 2015
| Variables | No of Participants (%) |
|---|---|
| Adequate Knowledge on JD | |
| Yes | 434 (78%) |
| No | 120 (22%) |
| Adequate knowledge on legal SOP ( | |
| Yes | 233 (42.1) |
| No | 321 (57.9) |
| Ever seen a colleague practice beyond his/her scope( | |
| Yes | 240 (43.3) |
| No | 314 (56.7) |
| Measures taken against practice beyond scope ( | |
| Congratulated him/her | 50 (20.8) |
| Told him/her not to do it again | 89 (37.1) |
| Reported to supervisor | 15 (6.2) |
| Reported to regulatory body | 4 (1.7) |
| Kept quite | 79 (32.9) |
| Others | 3 (1.3) |
| Ever carried tasks one is not authorized to do ( | |
| Yes | 122 (22.0) |
| No | 432 (78.0) |
| Reasons for carrying out tasks beyond scope (122)a | |
| Absence of qualified staff | 80 (72.1) |
| Included in the job description | 2 (1.7) |
| Official delegation | 4 (3.3) |
| In case of life threating emergencies | 66 (54.1) |
apercentage is larger than 100% since one participant could have multiple responses
Factoring affecting scope breach, exploring health workforce regulation practices and gaps, Ethiopia, 2015
| Variable (Socio-demographic characteristics) | Ever carried out tasks not authorized to perform | COR (95% CI) | AOR (95% CI) | |
|---|---|---|---|---|
| Yes | No | |||
| Number (%) | Number (%) | |||
| Type of Health Facility | ||||
| Hospitala | 21 (13.6) | 133 (86.4) | ||
| Health Center | 101 (25.3) | 299 (74.7) | 2.1 (1.3–3.57)b | 1.6 (0.9–2.9) |
| Sex of respondent | ||||
| Malea | 52 (17.8) | 240 (82.2) | ||
| Female | 70 (26.7) | 192 (73.3) | 1.7 (1.1–2.5)b | 1.2 (0.8–1.9) |
| Age of respondent in years | ||||
| 20–29a | 83 (21.7) | 300 (78.3) | ||
| 30–39 | 26 (21.5) | 95 (78.5) | 1.00 (0.6–1.6) | |
| 40–49 | 9 (25.7) | 26 (74.3) | 1.3 (0.6–2.8) | |
| 50–59 | 4 (26.7) | 11 (73.3) | 1.3 (0.4–4.2) | |
| Current respondent qualification/profession | ||||
| Medical Doctora | 0 (0.0) | 22 (100) | ||
| Health Officer | 21 (20.6) | 81 (79.4) | 1.4 (0.7–2.9) | 1.4 (0.6–3.0) |
| Midwife | 29 (28.4) | 73 (71.6) | 2.1 (1.1–4.2)b | |
| Anesthetist | 2 (9.1) | 20 (90.9) | 0.5 (0.1–2.5) | 0.9 (0.1–5.0) |
| Nurse | 36 (35.3) | 66 (64.7) | 2.9 (1.5–5.7)b | |
| Pharmacy | 18 (17.6) | 84 (82.4) | 1.2 (0.6–2.4) | 1.2 (0.5–2.4) |
| Highest level of educational attainment | ||||
| Diplomaa | 74 (25.4) | 217 (74.6) | ||
| First degree | 48 (18.9) | 206 (81.1) | 0.6 (0.5–1.0) | |
aReference category
bSignificant association
Entries with bold font and astrixes show significant association
Experiences regarding CPD, exploring health workforce regulation practices and gaps, Ethiopia, 2015 (N = 554)
| Variables | No of Participants (%) |
|---|---|
| Engagement in CPD activity in the last 12 months ( | |
| Yes | 328 (59.2) |
| No | 226 (40.8) |
| Provider of CPDa ( | |
| NGO | 234 (71.3) |
| Government | 153 (46.7) |
| Universities | 5 (1.5) |
| Source of finance for the last CPD activity ( | |
| Self | 5 (1.5) |
| Employer | 54 (16.5) |
| NGO | 209 (63.7) |
| FMOH/RHB | 92 (28.0) |
| Demand of the CPD ( | |
| Self-demand | 7 (2.2) |
| Arranged by others and invited | 313 (97.8) |
| Perceived Relevance of the last CPD ( | |
| Relevant | 489 (88.3) |
| Not relevant | 8 (1.4) |
| Has not taken any CPD | 57 (10.3) |
| Perceived practice improvement after CPD ( | |
| Yes | 472 (95.0) |
| No | 20 (4.0) |
| Not sure | 5 (1.0) |
| Reasons of undertaking CPDa | |
| Career development | 465 (93.6) |
| Want to feel confident in my work/improve performance | 339 (68.2) |
| It is not my request | 8 (1.6) |
| Need for incentive/reward | 9 (1.8) |
| Preference for CPD mechanisms ( | |
| Voluntary | 483 (87.2) |
| Mandatory | 66 (11.9) |
| Undecided | 5 (0.9) |
| Perceived responsibility for choosing CPD ( | |
| Health professionals | 340 (61.4) |
| Professional associations | 139 (25.1) |
| FMOH/RHBs | 222 (40.1) |
| Health facilities | 125 (22.6) |
| Regulators | 28 (5.1) |
| NGOs | 6 (1.1) |
| Perceived responsibility for identifying learning needs ( | |
| Health professionals | 397 (71.8) |
| Professional associations | 139 (25.1) |
| FMOH/RHBs | 175 (31.6) |
| health facilities | 113 (20.4) |
| Regulators | 9 1.6) |
aTotals are greater than 100% because the percentage is derived from multiple responses
Factoring affecting participation in CPD, exploring health workforce regulation practices and gaps, Ethiopia, March 2015
| Variable (Socio demographic Characteristics) | Participation of in CPD activities in the last 12 months ( | Crude OR (95% CI) | Adjusted OR (95% CI) | |
|---|---|---|---|---|
| Yes | No | |||
| Type of Health Facility | ||||
| Hospitala | 79 (51.3) | 75 (48.7) | ||
| Health Center | 249 (62.2) | 151 (37.8) | 1.57 (1.08–2.28)b | 1.41 (0.86–2.30) |
| Sex | ||||
| Malea | 164 (56.2) | 28 (43.8) | ||
| Female | 164 (62.6) | 98 (37.4) | 1.31 (0.93–1.84) | 0.90 (0.60–1.33) |
| Age in years | ||||
| 20–29a | 246 (64.2) | 137 (35.8) | ||
| 30–39 | 64 (52.9) | 57 (47.1) | 0.63 (0.41–0.95)b | 0.78 (0.45–1.35) |
| 40 and above | 18 (36.0) | 32 (64.0) | 0.31 (0.17–0.58) | 0.39 (0.16–0.91) b |
| qualification/profession | ||||
| Medical Doctora | 15 (68.2) | 7 (31.8) | ||
| Health Officer | 55 (53.9) | 47 (46.1) | 0.55 (0.21–1.45) | 0.57 (0.19–1.73) |
| Midwife | 74 (72.5) | 28 (27.5) | 1.23 (0.46–3.34) | 0.90 (0.29–2.83) |
| Anesthetist | 8 (36.4) | 14 (63.6) | 0.27 (0.08–0.93)b | 0.30 (0.08–1.08) |
| Nurse | 74 (72.5) | 28 (27.5) | 1.23 (0.46–3.34) | 1.21 (0.39–3.76) |
| Pharmacy | 41 (40.2) | 61 (59.8) | 0.31 (0.12–0.84)b | 0.23 (0.08–0.72)b |
| Medical Lab | 61 (59.8) | 41 (39.0) | 0.69 (0.26–1.85) | 0.56 (0.19–1.70) |
| Highest level of education | ||||
| Diploma | 184 (63.2) | 107 (36.8) | ||
| First degree and | 144 (54.9) | 119 (45.1) | 1.40 (0.99–1.97) | 1.13 (0.69–1.87) |
aReference Category
bsignificant association