| Literature DB >> 29903001 |
Ogbonnia Godfrey Ochonma1, Stephen Ikechukwu Nwatu2.
Abstract
BACKGROUND: There is a compelling need for management training amongst hospital managers in Nigeria mostly because management was never a part of the curricula in medical schools and this has resulted in their deficiencies in effective policymaking, planning and bottom line management. There has been no study to the best of our knowledge on the need and likely factors that may influence the acquisition of such training by hospital managers and this in effect was the reason for this study.Entities:
Keywords: Abuja; Formal; Hospitals; Informal; Managers; Need; Nigeria; Training
Mesh:
Year: 2018 PMID: 29903001 PMCID: PMC6003084 DOI: 10.1186/s12909-018-1230-2
Source DB: PubMed Journal: BMC Med Educ ISSN: 1472-6920 Impact factor: 2.463
Managers’ socio demographic and hospital characteristics n = 104
| Frequency | Percent | |
|---|---|---|
| +Age | ||
| 25–35 years | 14 | 13.5 |
| 35–45 years | 55 | 52.9 |
| 45–60 years | 35 | 33.7 |
| Gender | ||
| Male | 66 | 63.5 |
| Female | 38 | 36.5 |
| aAcademic Qualification | ||
| Bachelor’s degree | 36 | 34.6 |
| Post graduate diploma | 29 | 27.9 |
| Master’s degree & higher | 35 | 33.7 |
| Others | 4 | 3.8 |
| +Hospital type | ||
| Private | 44 | 42.3 |
| Government | 41 | 39.4 |
| Non-governmental | 5 | 4.8 |
| Faith based | 14 | 13.5 |
| aNo. of staff in the hospital | ||
| Below 25 | 20 | 19.2 |
| 25–50 | 35 | 33.7 |
| 50–100 | 36 | 34.6 |
| 100 and above | 13 | 12.5 |
| No. of hospital beds | ||
| 25–50 beds | 26 | 25.0 |
| 50–100 beds | 52 | 50.0 |
| > 100 beds | 26 | 25.0 |
aimplies variables in which some groups were merged to enhance further analysis
Managers’ characteristics in healthcare management n = 104
| Frequency | Percent | |
|---|---|---|
| Current designation | ||
| Administrative officer | 25 | 24.0 |
| Hospital administrator | 19 | 18.3 |
| CEO/Hospital director | 19 | 18.3 |
| Medical director | 41 | 39.4 |
| Experience in hospital management | ||
| Less than 2 years | 24 | 23.1 |
| 3–10 years | 49 | 47.1 |
| > 10 years | 31 | 29.8 |
| aFormal training obtained in healthcare management | ||
| Certificate | 19 | 18.3 |
| Diploma | 24 | 23.1 |
| Degree | 32 | 30.8 |
| None | 29 | 27.9 |
| Informal training obtained in healthcare management | ||
| In-service training | 88 | 84.6 |
| Mentoring | 15 | 14.4 |
| Non certified courses | 1 | 1.0 |
| Intention to attend healthcare mgt. Prog. within the next 5 years | ||
| Yes | 65 | 62.5 |
| No | 39 | 37.5 |
aimplies variables in which some groups were merged to enhance further analysis
Assessing the influence of managers’ socio demographic, hospital and health management characteristics on attainment of formal training in health management
| Training in Health Mgt. | Chi-Square | df | |||
|---|---|---|---|---|---|
| Formal | No formal | ||||
| Age | |||||
| 25–35 years | 6(42.9) | 8(57.1) | 6.893 | 2 | .032 |
| 35–45 years | 42(76.4) | 13(23.6) | |||
| 45–60 years | 27(77.1) | 8(22.9) | |||
| Sex | |||||
| Male | 45(68.2) | 21(31.8) | 1.390 | 1 | .238 |
| Female | 30(78.9) | 8(21.1) | |||
| Academic qualifications | |||||
| 1st Degree | 14(38.9) | 22(61.1) | 33.207 | 1 | < .001 |
| Higher Degree | 59(92.2) | 5(7.8) | |||
| Hospital type | |||||
| Private | 19(43.2) | 25(56.8) | 32.365 | 3 | < .001 |
| Government | 37(90.2) | 4(9.8) | |||
| Non-governmental | 5(100.0) | 0(0.0) | |||
| Faith based | 14(100.0) | 0(0.0) | |||
| No. of hospital bed | |||||
| 25–50 beds | 8(30.8) | 18(69.2) | 29.981 | 2 | < .001 |
| 50–100 beds | 46(88.5) | 6(11.5) | |||
| > 100 beds | 21(80.8) | 5(19.2) | |||
| Number of staff | |||||
| Below 25 | 10(50.0) | 10(50.0) | 18.830 | 3 | < .001 |
| 25–50 | 20(57.1) | 15(42.9) | |||
| 50–100 | 32(88.9) | 4(11.1) | |||
| 100 and above | 13(100.0) | 0(0.0) | |||
| Current designation | |||||
| Administrative officer | 23(92.0) | 2(8.0) | 16.944 | 3 | .001 |
| Hospital administrator | 14(73.7) | 5(26.3) | |||
| CEO/Hospital director | 7(36.8) | 12(63.2) | |||
| Medical director | 31(75.6) | 10(24.4) | |||
| Experience in hospital mgt. | |||||
| Less than 2 years | 20(83.3) | 4(16.7) | 2.076 | 2 | .354 |
| 3–10 years | 33(67.3) | 16(32.7) | |||
| > 10 years | 22(71.0) | 9(29.0) | |||
| Informal training | |||||
| In-service training | 64(72.7) | 24(27.3) | – | – | 1.000* |
| Mentoring | 11(73.3) | 4(26.7) | |||
| Intention to attend within 5 years | |||||
| Yes | 44(67.7) | 21(32.3) | 1.686 | 1 | .194 |
| No | 31(79.5) | 8(20.5) | |||
*Fishers Exact test was reported due small expected frequency
Logistic regression classification table, model summary and omnibus test of model coefficients on attainment of formal training in health management
| Classification table | Model summary | Omnibus test of model coefficients | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Observed | Predicted | |||||||||
| Training in health mgt. | % Correct | -2 Log likelihood | Cox & Snell R2 | Nagelkerke R2 | χ2 | df | ||||
| No formal | Formal | |||||||||
| Training in health mgt. | No formal | 19 | 8 | 70.4 | 60.849 | .428 | .621 | 55.803 | 14 | < .001 |
| Formal | 4 | 69 | 94.5 | |||||||
| Overall % | 88.0 | |||||||||
The cut value is .500; n = 100
Logistic regression model coefficients on attainment of formal training in health management
| B | S.E. | Wald | df | Exp(B) | 95% C.I. for EXP(B) | |||
|---|---|---|---|---|---|---|---|---|
| Lower | Upper | |||||||
| Constant | 2.667 | 2.112 | 1.594 | 1 | .207 | 14.394 | ||
| aAge (< 45 years) | 1.353 | 1.404 | .929 | 1 | .335 | 3.870 | .247 | 60.639 |
| Gender (Female) | .474 | .867 | .299 | 1 | .585 | 1.606 | .293 | 8.795 |
| aAcademic qual. (Higher degree) | 3.237 | 1.200 | 7.282 | 1 | .007* | 25.463 | 2.426 | 267.311 |
| aHospital type (Non government) | −1.469 | 1.163 | 1.595 | 1 | .207 | .230 | .024 | 2.249 |
| Hospital bed | .405 | 2 | .817 | |||||
| 25–50 beds | .818 | 1.580 | .268 | 1 | .605 | 2.265 | .102 | 50.136 |
| 50–100 beds | .706 | 1.133 | .388 | 1 | .533 | 2.025 | .220 | 18.655 |
| aHospital staff | 1.396 | 2 | .498 | |||||
| Below 25 staff | −1.206 | 1.190 | 1.027 | 1 | .311 | .299 | .029 | 3.084 |
| 25–50 staff | .014 | 1.042 | .000 | 1 | .989 | 1.014 | .131 | 7.819 |
| Current Designation | 2.596 | 3 | .458 | |||||
| Hospital administrator | −.495 | 1.313 | .142 | 1 | .706 | .609 | .046 | 7.992 |
| CEO/hospital director | −2.065 | 1.400 | 2.175 | 1 | .140 | .127 | .008 | 1.972 |
| Medical director | −.311 | 1.161 | .072 | 1 | .789 | .733 | .075 | 7.130 |
| Experience in hosp. Mgt. | 5.183 | 2 | .075 | |||||
| 3–10 years | −2.146 | 1.001 | 4.596 | 1 | .032 | .117 | .016 | .832 |
| Above 10 years | −3.498 | 1.919 | 3.325 | 1 | .068 | .030 | .001 | 1.299 |
| Intention to attend prog. (Yes) | −.795 | 1.047 | .576 | 1 | .448 | .452 | .058 | 3.517 |
Predictors: Age, Gender, Academic qualification, Hospital type, No. of hospital bed, No. of staff, Current designation, Experience in hospital management & Intention to attend healthcare mgt programme in next 5 years
Reference category: Age (< 45 years), gender (male), academic qual. (1st degree), hospital type (government), hospital bed (> 100 beds), hospital staff (> 50 staff), designation (admin officer), experience in hosp. Mgt (≤ 2 years), intention to attend healthcare mgt prog (no)
*implies significant predictors; aimplies variables in which some groups were merged to enhance logistic regression.