| Literature DB >> 27503328 |
Njoki Ng'ang'a1, Mary Woods Byrne2, Margaret E Kruk3, Aloisia Shemdoe4, Helen de Pinho5.
Abstract
BACKGROUND: In sub-Saharan Africa, the capacity of human resources for health (HRH) managers to create positive practice environments that enable motivated, productive, and high-performing HRH is weak. We implemented a unique approach to examining HRH management practices by comparing perspectives offered by mid-level providers (MLPs) of emergency obstetric care (EmOC) in Tanzania to those presented by local health authorities, known as council health management teams (CHMTs).Entities:
Keywords: Council health management teams; Emergency obstetric care; Human resources management; Mid-level providers; Practice environment; Tanzania
Mesh:
Year: 2016 PMID: 27503328 PMCID: PMC4977882 DOI: 10.1186/s12960-016-0144-5
Source DB: PubMed Journal: Hum Resour Health ISSN: 1478-4491
Fig. 1Differences in entry level, years of training, and stock of MLPs [31, 85, 86]
Fig. 2Basic strategic human resources management component model
Demographic characteristics of MLPs responding to the Provider Survey
| Demographic characteristics | Number (%) | Cadre | Number (%) |
|---|---|---|---|
| Female | 627 (74) | Enrolled nurses | 5 (0.6) |
| Age 26–55 years | 716 (85) | Registered nurses | 150 (18) |
| Full-time employment | 717 (85) | Enrolled midwife | 247 (30) |
| Permanent employment status | 804 (95) | Registered midwife | 20 (2) |
| Employed in government facility | 744 (88) | Enrolled public health nurse | 58 (7) |
| Highest level of training is certificate/diploma | 469 (55)/230 (27) | Registered public health nurse | 11 (1.3) |
| Highest level of basic education is standard 7/form 4 | 210 (25)/ 547 (65) | UAP | 179 (21) |
| Mean length of time at facility | 8.2 years | Clinical officer | 99 (12) |
| Mean tenure as a health worker | 15.4 years | Assistant medical officer | 68 (8) |
Mid-level providers recruited from 8 regions: Mbeya (23 %), Iringa (15 %), Mwanza (13 %), Tanga (13 %), Pwani (12 %), Dodoma (11 %), Mtwara (7 %), Tabora (6 %)
Districts reporting adequate staffing levels and availability of written standards of performance and written supervision requirements
| Cadrea | Staffingb | Written standards of performanceb | Written supervision requirementsb | ||
|---|---|---|---|---|---|
| Dispensaries | Health Centers | Hospitals | |||
| Assistant medical officer | N/A (22)c | 19 % (32) | 20 % (32) | 73 % (45) | 70 % (46) |
| Clinical officer | 6 % (34) | 19 % (31) | 35 % (31) | 72 % (46) | 83 % (46) |
| Registered nurse/nurse midwife | 64 % (25) | 22 % (32) | 37 % (32) | 72 % (46) | 83 % (46) |
| Enrolled nurse/nurse midwife | 14 % (29) | 13 % (30) | 19 % (26) | 72 % (46) | 80 % (46) |
| MCH aid | 86 % (21) | 71 % (21) | 91 % (21) | 71 % (44) | 74 % (42) |
| Medical attendant | 42 % (33) | 53 % (30) | 55 % (29) | 67 % (43) | 71 % (45) |
Data on nursing assistants not collected
aData on MCH aids and medical attendants reported separately
bFigures in parenthesis represent the number of districts (out of 48) with data provided
cAssistant medical officers typically do not function in dispensaries
Comparison of MLP responses to items in the Provider Survey
| Items | Kruskal-Wallis |
| Cadre |
| |
|---|---|---|---|---|---|
| Mann-Whitney | |||||
| Enough staff to get the work done | 12.968 | 0.01 | Midwives (167.45) | AMO (127.95) | 0.001 |
| My work schedule is fair | 17.305 | 0.002 | AMO (167.43) | Nurses (132.00) | 0.001 |
| AMO (189.49) | Midwives (148.81) | 0.001 | |||
| AMO (90.06) | CO (73.40) | 0.015 | |||
| UAPb (205.51) | Nurses (179.91) | 0.016 | |||
| UAP (225.69) | Midwives (196.32) | 0.009 | |||
| I feel burned out from my work | 32.573 | 0.000 | Nurses (139.75) | AMO (108.37) | 0.004 |
| Nurses (161.39) | CO (116.52) | 0.000 | |||
| Nurses (190.32) | UAP (160.26) | 0.005 | |||
| Midwives (156.61) | AMO (119.55) | 0.002 | |||
| Midwives (178.53) | CO (126.31) | 0.000 | |||
| Midwives (208.23) | UAP (171.75) | 0.001 | |||
| Manager makes sure that all staff concerns are heard before job decisions are made | 20.069 | 0.000 | UAP (212.63) | Nurses (175.26) | 0.001 |
| UAP (239.81) | Midwives (191.34) | 0.000 | |||
| To make job decisions, my manager collects accurate and correct information | 20.371 | 0.000 | UAP (122.33) | AMO (96.09) | 0.004 |
| UAP (214.86) | Nurses (173.74) | 0.000 | |||
| UAP (237.08) | Midwives (190.61) | 0.000 | |||
| Manager clarifies decisions and provides additional information when requested by staff | 17.415 | 0.002 | UAP (213.09) | Nurses (175.87) | 0.000 |
| UAP (236.42) | Midwives (192.66) | 0.000 | |||
| My manager offers adequate justification for decisions about my job | 10.192 | 0.037 | UAP (207.74) | Nurses (177.13) | 0.005 |
| Overall, the rewards I receive are fair | 16.657 | 0.002 | UAP (206.42) | Nurses (176.53) | 0.005 |
| UAP (232.50) | Midwives (190.20) | 0.000 | |||
| I am satisfied with this supervision system | 12.783 | 0.012 | UAP (229.81) | Midwives (190.77) | 0.001 |
| UAP (207.56) | Nurses (179.16) | 0.009 | |||
| I think this is a fair supervision system | 13.434 | 0.009 | AMO (174.23) | Midwives (149.32) | 0.036 |
| CO (185.93) | Midwives (164.43) | 0.057 | |||
| UAP (228.05) | Midwives (190.16) | 0.001 | |||
| UAP (205.89) | Nurses (183.23) | 0.037 | |||
MLP responses to items on supervision and access to in-service training
| Item | Nursesa (%) | Midwives (%) | UAP (%) | COb (%) | AMOb (%) |
|---|---|---|---|---|---|
| Supervision | |||||
| Formal supervision process with regular prearranged supervision | 60 | 50 | 54 | 55 | 51 |
| Supervision available if I request it from my line manager | 4 | 7 | 4 | 3 | 9 |
| Supervision consists of negative feedback when performance is poor | 19 | 19 | 25 | 14 | 20 |
| I never receive any supervision or feedback on my performance | 20 | 24 | 17 | 26 | 17 |
| Access to in-service training | |||||
| Offered by supervisor/manager | 40 | 44 | 36 | 50 | 24 |
| Based on a formal review of training need of each employee | 17 | 20 | 23 | 12 | 12 |
| Based on performance review focusing on skills required for the job | 43 | 37 | 41 | 38 | 64 |
aTotals greater than 100 % due to selection of more than one response by some participants
bTotals less than 100 % due to missing data
Summary of quantitative and qualitative results
| HRH management practice | Concordance or discordancea | Summary of quantitative and qualitative results |
|---|---|---|
| Staffing | Concordant | Members of CHMTs and MLPs agreed that personnel shortages were persistent across all districts and at every facility type. |
| Appraisal | Concordant | Members of CHMTs reported written supervision requirements were available for each cadre in most districts and more than half of MLPs encountered prearranged formal supervision meetings, which they perceived as adequate. |
| Workload | Discordant | Members of CHMTs reported availability of procedures to match workload to staffing in majority of districts but most MLPs reported routinely worked unscheduled hours due to personnel shortages and high patient volumes. |
| Training | Discordant | Members of CHMTs reported selecting MLPs for in-service training based on performance evaluations and training needs, but MLPs reported selection was at the discretion of members of CHMTs using unspecified criteria. |
| Rewards and recognition | Discordant | Members of CHMTs reported almost all districts reward personnel for performance, but majority of MLPs perceived the rewards to be lacking and unfair. |
| Participation | Both | Members of CHMTs reported moderate to high levels of autonomy in most HRH management functions, but MLPs were divided on the extent to which members of CHMTs took into account the reality of the practice environment in their decision-making. |
| Communication | Both | Members of CHMTs reported written standards of supervision were available in most districts and majority of MLPs endorsed possessing a written job description but almost half were routinely asked to perform duties not in their job description. |
aConcordance or discordance between CHMT and MLP survey and interview responses