| Literature DB >> 35397590 |
Mulugeta Desalegn Kasaye1, Miftah Abdella Beshir2, Berhanu Fikadie Endehabtu2, Binyam Tilahun2, Habtamu Alganeh Guadie3, Shekur Mohammed Awol4, Mulugeta Hayelom Kalayou4, Tesfahun Melese Yilma2.
Abstract
INTRODUCTION: Medical documentation is an important part of the medical process as it is an essential way of communication within the health care system. However, medical documentation practice in the private sector is not well studied in Ethiopian context. The aim of this study was to assess the practice of medical documentation and its associated factors among health workers at private hospitals in the Amhara region, Ethiopia.Entities:
Keywords: Amhara region; Documentation practice; Health workers; Medical documentation; Private hospital; Record-keeping
Mesh:
Year: 2022 PMID: 35397590 PMCID: PMC8994305 DOI: 10.1186/s12913-022-07809-6
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Socio demographic characteristics of health workers working in Private Hospitals in the Amhara Region, March 2021 (n = 407)
| Variable | Category | Frequency (407) | % |
|---|---|---|---|
| Age | 20–24 | 72 | 17.7 |
| 25–29 | 169 | 41.5 | |
| 30–35 | 110 | 27.0 | |
| 36 and above | 56 | 13.8 | |
| Sex | Male | 195 | 47.9 |
| Female | 212 | 52.1 | |
| Marital Status | Single | 185 | 45.5 |
| Married | 205 | 50.4 | |
| Widowed | 8 | 2.0 | |
| Divorced | 7 | 1.7 | |
| Separated | 2 | 0.5 | |
| Educational level | Diploma | 138 | 33.9 |
| Bachelor of Science | 199 | 48.9 | |
| Medical Doctor | 40 | 9.8 | |
| Specialty | 30 | 7.4 | |
| Monthly salary | < 6193 | 245 | 60.2 |
| 6194–7071 | 26 | 6.4 | |
| 7072–8017 | 31 | 7.6 | |
| 8018–9056 | 22 | 5.4 | |
| Above 9057 | 83 | 20.4 | |
| Type of Profession | Nurse | 191 | 46.9 |
| Midwife | 60 | 14.7 | |
| Doctor | 70 | 17.2 | |
| Laboratory | 66 | 16.2 | |
| Anesthesia | 7 | 1.7 | |
| Pharmacy | 13 | 3.2 | |
| Work setting | Inpatient | 228 | 56.0 |
| Outpatient | 179 | 44.0 |
Organizational Factors of Health Workers working at Private hospitals in the Amhara Region, Ethiopia, 2021
| Variables | Response | Frequency | Percentage (%) |
|---|---|---|---|
| Have ever trained on MDP ( | Yes | 80 | 19.7 |
| No | 327 | 80.3 | |
| When did you receive training ( | <=2 years ago | 32 | 40 |
| > 2 years ago | 48 | 60 | |
| The average number of patients seen by a single profession per day ( | < 20 patients | 161 | 39.6 |
| > = 20 patients | 246 | 60.4 | |
| Availability of standard sheets ( | Yes | 253 | 62.16 |
| No | 154 | 37.84 | |
| Familiar with medical documentation standards ( | Yes | 278 | 68.4 |
| No | 129 | 31.6 | |
| Availability of medical care plan materials (guidelines) ( | Yes | 345 | 84.8 |
| No | 62 | 15.2 |
Fig. 1Reasons for poor medical documentation practice
Bivariable and multivariable logistic regression analysis of factors associated with medical documentation practice among health workers at Private hospitals, Amhara, Ethiopia, 2021 (n = 407)
| Variable | Category | Practice Level | COR (95%) | AOR (95%) | |
|---|---|---|---|---|---|
| Poor (n, %) | Good (n, %) | ||||
| Sex | Male | 93(47.7) | 102(52.3) | 1.49(1.01,2.20) | 1.06(0.63,1.79) |
| Female | 122(57.5) | 90(42.5) | 1 | 1 | |
| Age | 20–24 | 53(73.6) | 19(26.4) | 1 | 1 |
| 25–29 | 84(49.7) | 85(50.3) | 2.82(1.54,5.17)a | 2.64(1.27,5.46)b | |
| 29–35 | 51(46.4) | 59(53.6) | 3.23(1.69,6.15)a | 2.17(0.97,4.85) | |
| 36 and above | 27(48.2) | 29(51.8) | 2.99(1.43,6.29) | 1.83(0.74,4.52) | |
| Work Setting | Inpatient | 132(57.9) | 96(42.1) | 1.60(1.07,2.36)a | 1.23(0.74,2.03) |
| Out patient | 83(46.4) | 96(53.6) | 1 | 1 | |
| Knowledge | Poor | 116(72.0) | 45(28.0) | 1 | 1 |
| Good | 99(40.2) | 147(59.8) | 3.83(2.49,5.87)a | 2.28(1.34,3.89)b | |
| Attitude | Unfavorable | 112(65.1) | 60(34.9) | 1 | 1 |
| Favorable | 103(43.8) | 132(56.2) | 2.39(1.59,3.59)a | 1.78(1.06,2.97)b | |
| Motivation | Weak | 147(73.5) | 53(26.5) | 1 | 1 |
| Strong | 68(32.9) | 139(67.1) | 5.67(3.70,8.69)a | 3.49(2.10,5.80)b | |
| In-service Training | Not Trained | 188(57.5) | 139(42.5) | 1 | 1 |
| Trained | 27(33.8) | 53(66.2) | 2.65(1.59,4.43)a | 2.77(1.49,5.14)b | |
| Availability of Medical sheet | No | 100(64.9) | 54(35.1) | 1 | 1 |
| Yes | 115(45.5) | 138(54.5) | 2.22(147,3.36)a | 1.50(0.89,2.55) | |
| Availability of Guideline formats | No | 49(79.0) | 13(21.0) | 1 | 1 |
| Yes | 166(48.1) | 179(51.9) | 4.06(2.13,7.76)a | 3.12(1.41,6.84)b | |
| eHealth Literacy | Low | 128(65.6) | 67(34.4) | 1 | 1 |
| High | 87(41.0) | 125(59.0) | 2.75(1.84,4.11)a | 1.73(1.02,2.96)b | |
| Computer skill | Poor | 119(61.0) | 76(39.0) | 1 | 1 |
| Good | 96(45.3) | 116(54.7) | 1.89(1.28,2.89)a | 1.12(0.65,1.94) | |
Note: P –Value ≤0.2 for Bi-variable analysis P- Value ≤0.05 for multi variable analysis, a Factors associated with medical documentation practice in bi-variable analysis, b Factors associated with medical documentation practice in multivariable analysis, 1 Reference