| Literature DB >> 27716189 |
Ahmed Al-Mandhari1, Ibrahim Al-Zakwani2, Samir Al-Adawi3, Samra Al-Barwani4, Lakshmanan Jeyaseelan5.
Abstract
BACKGROUND: The pressing need to reduce burgeoning poor safety measures affecting millions worldwide has alerted World Health Assembly to set-up mechanisms to increase patient safety. In response to such needs, World Health Organization (WHO) formulated nine life-saving patient safety solutions that would be essential to lower reduce healthcare-related harm. There is a paucity of research examining awareness of such nine patient safety solutions. This study has been designed and conducted to compare self-estimated awareness and practice of the World Health Organization's nine "Life-saving Patient Safety Solutions" aide memoirs among different groups of healthcare workers in Oman.Entities:
Keywords: Attitude and practice; Knowledge; Nine life-saving patient safety solutions; Patient safety; Patient safety solutions; WHO
Mesh:
Year: 2016 PMID: 27716189 PMCID: PMC5045576 DOI: 10.1186/s12913-016-1771-1
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Demography and level of self-estimated awareness among different subtypes of healthcare workers in Oman (N = 763)
| Characteristics | Nurses | Physicians | Allied health professionals a( |
|
|---|---|---|---|---|
| Demographic | ||||
| 1. Age, mean ± SD, years | 32 ± 7 | 39 ± 10 | 32 ± 7 | <0.001 |
| 2. Female gender, n (%) | 315 (90 %) | 55 (31 %) | 130 (56 %) | <0.001 |
| 3. Numbers of years at this hospital median (IQR), years | 5 (2–10) | 3 (1–7) | 5 (2–10) | <0.001 |
| 4. Numbers of years at this hospital in the present specialization/unit, median (IQR), years | 3 (1–7) | 3 (1–5) | 4 (1–8) | 0.065 |
| Awareness | ||||
| 1. Have you heard about patient safety solutions before? | 321 (91 %) | 150 (83 %) | 187 (81 %) | <0.001 |
| a. Patient identification | 279 (79 %) | 125 (69 %) | 153 (66 %) | 0.001 |
| b. Look-alike sound-alike medication names (LASA)? | 158 (45 %) | 73 (41 %) | 80 (34 %) | 0.040 |
| c. Improved hand hygiene to prevent health-care associated infections (HCAI)? | 293 (83 %) | 141 (78 %) | 143 (62 %) | <0.001 |
| d. Performance of correct procedure at correct body site | 228 (65 %) | 104 (58 %) | 83 (36 %) | <0.001 |
| e. Avoiding catheter and tubing mis-connections | 147 (42 %) | 82 (46 %) | 48 (21 %) | <0.001 |
| f. Control of concentrated electrolyte solutions | 119 (34 %) | 69 (38 %) | 48 (21 %) | <0.001 |
| g. Communication during patient handovers | 237 (68 %) | 108 (60 %) | 111 (48 %) | <0.001 |
| h. Assuring medication accuracy at transitions in care | 212 (60 %) | 88 (49 %) | 71 (31 %) | <0.001 |
| i. Single use of injection devices | 262 (75 %) | 123 (68 %) | 113 (49 %) | <0.001 |
| Practice/Implementation | ||||
| 1. Are nine patient safety solution implemented in my institution? | 298 (85 %) | 153 (85 %) | 166 (72 %) | <0.001 |
| a. Patient identification | 250 (71 %) | 125 (69 %) | 130 (56 %) | <0.001 |
| b. Look-alike sound-alike medication names (LASA)? | 107 (30 %) | 52 (29 %) | 60 (26 %) | 0.481 |
| c. Improved hand hygiene to prevent health-care associated infections (HCAI)? | 274 (78 %) | 137 (76 %) | 112 (48 %) | <0.001 |
| d. Performance of correct procedure at correct body site | 191 (54 %) | 96 (53 %) | 65 (28 %) | <0.001 |
| e. Avoiding catheter and tubing mis-connections | 106 (30 %) | 65 (36 %) | 30 (30 %) | <0.001 |
| f. Control of concentrated electrolyte solutions | 72 (21 %) | 49 (27 %) | 25 (11 %) | <0.001 |
| g. Communication during patient hand-overs | 206 (59 %) | 94 (52 %) | 89 (38 %) | <0.001 |
| h. Assuring medication accuracy at transitions in care | 158 (45 %) | 66 (37 %) | 53 (23 %) | <0.001 |
| i. Single use of injection devices | 254 (72 %) | 123 (68 %) | 91 (39 %) | <0.001 |
SD Standard deviation, IQR Interquartile range Analyses
aAllied health professionals include pharmacists, physical/occupational/speech rapists, biomedical scientists, and dieticians
Regression analyses for awareness and practice on patient safety among different subtypes of healthcare workers in Oman (N = 763)
| Predictors | Regressionc coefficient | SEc |
|
|---|---|---|---|
| Knowledge Score: | |||
| Age (years) | .064 | .015 | <0.001 |
| Type of workersa | -.956 | .125 | <0.001 |
| Numbers of years at this hospital | .035 | .034 | 0.401 |
| Numbers of years at this hospital in the present specialization/unit | -.023 | .039 | 0.691 |
| Type of Health Facilityb | .915 | .416 | <0.001 |
| Awareness Score: | |||
| Age (years) | -.041 | .008 | <0.001 |
| Type of workers | -.099 | .065 | 0.101 |
| Numbers of years at this hospital | .016 | .017 | 0.479 |
| Numbers of years at this hospital in the present specialization/unit | .036 | .020 | 0.066 |
| Type of Health Facilityb | -.044 | .215 | 0.472 |
| Practice Score: | |||
| Age (years) | .157 | .030 | <0.001 |
| Type of workers | -2.12 | .24 | <0.001 |
| Numbers of years at this hospital | -.002 | .065 | 0.904 |
| Numbers of years at this hospital in the present specialization/unit | -.034 | .075 | 0.723 |
| Type of Health Facility b | 1.26 | .738 | 0.09 |
a Type of workers: 1 = Nurse; 2 = Physicians; 3 = Others
b Type of Health facility: 1 = Hospitals; 2 = Health centres
c Regression coefficients and SE based on Hierarchical modelling