| Literature DB >> 25973191 |
Ravinder S Vohra1, Jonathan B Cowley2, Neeraj Bhasin3, Hashem M Barakat4, Michael J Gough5.
Abstract
BACKGROUND: The Surgical Safety Checklist (SSC) has been shown to reduce perioperative errors and complications and its implementation is recommended by the World Health Organisation (WHO). However, it is unknown how widely this intervention is used. We investigated attitudes and factors associated with use of WHO SSC in frontline medical professionals across the globe using a survey distributed through social networks.Entities:
Keywords: General surgery; Global health; Social media; Social networks
Year: 2015 PMID: 25973191 PMCID: PMC4421109 DOI: 10.1016/j.amsu.2015.04.001
Source DB: PubMed Journal: Ann Med Surg (Lond) ISSN: 2049-0801
General Demographics of Respondents (Values in parentheses are percentages).
| Total (%) | |
|---|---|
| n | 6269 |
| Age | |
| 18–24 | 1067 (17.0) |
| 25–35 | 3058 (48.8) |
| 36–45 | 1114 (17.8) |
| >46 | 1030 (16.4) |
| Males | 4821 (76.9) |
| Profession | |
| Medical student/Intern | 1733 (27.7) |
| Resident/Trainee | 2319 (37.0) |
| Attending/Consultant | 2217 (35.3) |
| Type of hospital | |
| University Teaching Hospital/Trauma centre/Level 3 | 3080 (49.1) |
| Urban hospital (>500 beds)/Level 2 | 749 (12.0) |
| District General Hospital (<500 beds)/Rural Hospital/Level 1 | 778 (12.4) |
| Government Hospital | 898 (14.3) |
| Other | 764 (12.2) |
| Economy by per capita GNI* | |
| High income | 2196 (35.0) |
| Upper middle income | 917 (14.6) |
| Lower middle income | 2969 (47.4) |
| Low income | 187 (3.0) |
*Gross National Income.
Demographic factors and respondents attitudes and the WHO SSC.
| % Use of an SSC | p value | OR | 95%CI | p value | |
|---|---|---|---|---|---|
| Age | <0.001 | ||||
| 18–24 | 46.7 | 1 | |||
| 25–35 | 55.9 | 0.95 | 0.79, 1.14 | 0.557 | |
| 36–45 | 60.7 | 1.11 | 0.86, 1.43 | 0.437 | |
| >46 | 70.1 | 1.94 | 1.47, 2.55 | <0.001 | |
| Gender | 0.001 | ||||
| Males | 56.4 | 0.86 | 0.75, 0.99 | 0.041 | |
| Females | 61.3 | 1 | |||
| Profession | <0.001 | ||||
| Medical student/intern | 53.2 | 1 | |||
| Resident/trainee | 58.7 | 1.09 | 0.92, 1.30 | 0.317 | |
| Attending/consultant | 59.6 | 1.54 | 1.25, 1.89 | <0.001 | |
| Type of hospital | <0.001 | ||||
| University teaching hospital/Trauma centre/Level 3 | 61.4 | 1 | |||
| Urban hospital (>500 beds)/Level 2 | 55.1 | 0.56 | 0.46, 0.67 | <0.001 | |
| District general hospital (<500 beds)/Rural hospital/Level 1 | 56.1 | 0.56 | 0.45, 0.68 | <0.001 | |
| Government hospital | 43.9 | 0.67 | 0.57, 0.79 | <0.001 | |
| Other | 51.3 | 0.72 | 0.60, 0.87 | <0.001 | |
| Economy by per capita GNI | <0.001 | ||||
| High income | 83.5 | 1 | |||
| Upper middle income | 60.5 | 0.28 | 0.23, 0.34 | <0.001 | |
| Lower middle income | 38.4 | 0.10 | 0.08, 0.12 | <0.001 | |
| Low income | 41.2 | 0.10 | 0.07, 0.14 | <0.001 | |
| Attitudes to the WHO SSC | |||||
| It is useful | <0.001 | ||||
| Yes | 60.8 | 1.22 | 1.07, 1.39 | 0.002 | |
| No | 51.0 | 1 | |||
| It prevents mistakes | 0.823 | ||||
| Yes | 57.4 | 1.29 | 0.89, 1.54 | 0.832 | |
| No | 57.7 | 1 | |||
| It causes delays | 0.090 | ||||
| Yes | 54.7 | 0.64 | 0.53, 0.77 | <0.001 | |
| No | 57.9 | 1 | |||
| It doesn't work | 0.0226 | ||||
| Yes | 54.7 | 0.47 | 0.36, 0.60 | <0.001 | |
| No | 57.7 | 1 |
Gross National Income.
Chi-squared test for comparison of proportions using the SSC.
Adjusted Odds Ratios generated using.
Forward stepwise logistic regression adjusted for all other confounding factors in the table (age, gender, profession, type of hospital, GNI per capita and attitudes to the WHO SSC).
Confidence intervals.