| Literature DB >> 29310633 |
Jamal A S Qaddumi1, Zaher Nazzal2, Allam Yacoub3, Mahmoud Mansour4.
Abstract
BACKGROUND: Mortality data are essential for many aspects of everyday public health practices at both national and international levels. Despite the current developments in various aspects of the medical field, the apparent inability of physicians to complete death notification forms (DNF) accurately is still worldwide concern. The aim of this study is to assess the physicians' knowledge and practice on completing the DNF.Entities:
Keywords: Death certification; Physicians’ knowledge; Practice
Mesh:
Year: 2018 PMID: 29310633 PMCID: PMC5759221 DOI: 10.1186/s12913-017-2814-y
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Characteristics of study participants (N = 150)
| Characteristic | Frequency | Percentage |
|---|---|---|
| Age | Median 29 | Range 25–65 |
| Gender | ||
| Male | 119 | 79.3 |
| Female | 31 | 20.7 |
| Current possession | ||
| Resident | 95 | 63.3 |
| Specialist | 55 | 36.7 |
| Work place | ||
| Governmental | 95 | 63.3 |
| Non-governmental | 55 | 36.7 |
| Graduation country | ||
| Palestine | 40 | 26.7 |
| Other countries | 110 | 73.3 |
| Years since Graduation | ||
| 1 year | 27 | 18.0 |
| 2–5 years | 58 | 38.9 |
| 6–10 | 30 | 20.1 |
| 11 and more | 35 | 23.0 |
| Specialty | ||
| Medicine | 28 | 18.6 |
| Surgery | 54 | 36.0 |
| Pediatrics | 22 | 14.7 |
| Others | 46 | 30.7 |
| Completed DNF Before | ||
| Yes | 124 | 82.7 |
| No | 26 | 17.3 |
| Trained to complete DNF | ||
| Yes | 32 | 21.3 |
| No | 118 | 78.7 |
Fig. 1Distribution of Major Errors in the Case Scenario (n = 150)
Distribution of difficulties when completing previous DNF (N = 77)
| Difficulty type | Frequency | Percentage |
|---|---|---|
| Dealing with complicated cases | 50 | 64.9 |
| Problem in design of DNF | 37 | 48.1 |
| Lack of training | 30 | 39.0 |
| Did not understand terms | 22 | 28.6 |
| Lack of time | 16 | 20.8 |
Fig. 2Distribution of Minor Errors in Case Scenario (n = 150)
Association between major errors in case scenario related to Physicians’ characteristics
| Type of error | ||||||
|---|---|---|---|---|---|---|
| Mechanism of Death | Incorrect sequencing | No acceptable cause of death | ||||
| Characteristic | ||||||
| Gender of physician | ||||||
| Male | 22(18.4) | 0.464 | 20(16.8) | 0.147 | 11(9.2) | 0.623 |
| Female | 4(13.0) | 2(6.5) | 2(6.5) | |||
| Current possession | ||||||
| Resident | 20(21.0) | 0.114 | 15(17.8) | 0.609 | 9(9.5) | 0.644 |
| Specialist | 6(11.0) | 7(12.7) | 4(7.2) | |||
| Work place | ||||||
| Governmental | 17(18.5) | 0.727 | 15(15.8) | 0.523 | 11(11.6) | 0.020 |
| Non-governmental | 9(16.4) | 7(12.7) | 2(3.6) | |||
| Graduation Country | ||||||
| Palestine | 4(10.0) | 0.306 | 1(2.5) | 0.011 | 0(0.0) | 0.023 |
| Other country | 22(20.0) | 21(19.2) | 13(11.8) | |||
| Graduation year | ||||||
| ≤ 5 years | 18(45.0) | 0.306 | 12(32.5) | 0.405 | 7(14.0) | 0.775 |
| > 5 years | 7(22.1) | 7(27.6) | 6(18.8) | |||
| Specialty | ||||||
| Medicine | 5(18.0) | 0.872 | 3(10.7) | 0.296 | 1(3.6) | 0.101 |
| Surgery | 11(20.4) | 6(11.1) | 2(3.7) | |||
| Pediatric | 3(13.6) | 6(27.3) | 4(18.2) | |||
| Others | 7(15.2) | 7(20.0) | 6(13.0) | |||
| Completed DNF Before | ||||||
| Yes | 17(13.7) | 0.035 | 15(12.0) | 0.143 | 11(8.8) | 0.933 |
| No | 9(34.6) | 7(7.0) | 2(7.6) | |||
| Trained to Fill DNF | ||||||
| Yes | 7(22.6) | 0.386 | 3(9.7) | 0.378 | 4(12.9) | 0.347 |
| No | 19(16.0) | 19(16.0) | 9(7.6) | |||
*Chi-square test