| Literature DB >> 25866675 |
Mohammad Khammarnia1, Mahsa Haj Mohammadi1, Zahra Amani1, Shahab Rezaeian1, Fatemeh Setoodehzadeh2.
Abstract
This study aimed to determine the barriers to implementation of EBP among nurses. This cross-sectional study was conducted in Zahedan City, South East of Iran, in 2014. The questionnaire of barriers to implementation of EBP consists of 27 statements which was distributed among 280 nurses. More than half of the participants agreed that 56% and 57% of barriers to implementation of evidence based practice are related to organizational and individual aspects, respectively. Participants identified barriers at organizational level included the lack of human resources (78.3%), lack of internet access at work (72.2%), and heavy workload (70.0%). Barrier at individual level included lack of time to read literature (83.7%), lack of ability to work with computer (68.8%), and insufficient proficiency in English language (62.0%). Age, educational level, job experience, and employment status were associated with organizational barriers to implementation of EBP. At the individual level only education was associated with barriers to implementation of EBP. Barriers to implementation of EBP occur at both individual and organizational levels. The indicator of quality in nursing practice is EBP. Hence, familiarity with EBP is recommended for Iranian nurses. In addition, knowledge of barriers will help health care system and policy makers to provide a culture of EBP.Entities:
Year: 2015 PMID: 25866675 PMCID: PMC4381851 DOI: 10.1155/2015/357140
Source DB: PubMed Journal: Nurs Res Pract ISSN: 2090-1429
Distribution of participant demographics in Zahedan teaching hospitals.
| Variables | Number | % |
|---|---|---|
| Age group | ||
| <25 yr | 123 | 46.8 |
| +26 yr | 140 | 53.2 |
| Mean (SD) | 28.4 (5.4) | |
| Gender | ||
| Male | 78 | 29.7 |
| Female | 185 | 70.3 |
| Education | ||
| Bachelor's degree | 249 | 94.7 |
| Master's degree | 14 | 5.3 |
| Job experience (years) | ||
| <5 | 159 | 60.5 |
| 6–10 | 62 | 23.6 |
| 11–15 | 23 | 8.7 |
| >16 | 19 | 7.2 |
| Employment status | ||
| Temporary | 185 | 70.3 |
| Permanent | 29 | 11.1 |
| Fixed term | 49 | 18.6 |
| Barriers to implementation EBP associated with organizational aspects | ||
| Agree | 148 | 56.0 |
| No comment | 70 | 27.0 |
| Disagree | 45 | 17.0 |
| Barriers to implementation EBP associated with individual aspects | ||
| Agree | 150 | 57.0 |
| No comment | 58 | 22.0 |
| Disagree | 55 | 21.0 |
EBP: evidence based practice.
The list of five common barriers to implementation of evidence based practice (EBP) by organizational and individual aspects.
| Agree | No comment | Disagree | |
|---|---|---|---|
| Organizational aspects | |||
| Lack of human sources | 206 (78.3) | 44 (16.7) | 13 (5.0) |
| Heavy workload | 190 (72.2) | 39 (14.8) | 34 (13.0) |
| Lack of access to a rich library with nursing journals | 184 (70.0) | 57 (21.7) | 22 (8.3) |
| Lack of internet access at work | 167 (63.5) | 57 (21.7) | 39 (14.8) |
| No cooperation by physicians | 163 (62.0) | 63 (24.0) | 37 (14.0) |
| Individuals aspects | |||
| Lack of time to read literature | 220 (83.7) | 28 (10.7) | 15 (5.6) |
| Insufficient proficiency in English language | 181 (68.8) | 32 (12.2) | 50 (19.0) |
| Lack of ability to work with computer | 163 (62.0) | 43 (16.3) | 57 (21.7) |
| Lack of autonomy to change practice | 145 (55.2) | 59 (22.4) | 59 (22.4) |
| Lack of knowledge | 143 (54.4) | 47 (17.9) | 73 (27.7) |
Figures are number (%).
Associations between background variables and implementation of evidence based practice by organizational and individual aspects using Chi-square test.
| Organizational aspects | Individual aspects | |||||
|---|---|---|---|---|---|---|
| Agree | Disagree |
| Agree | Disagree |
| |
| Age group (years) | ||||||
| <25 | 105 (85.4) | 18 (14.6) | 0.013* | 91 (74.0) | 32 (26.0) | 0.334 |
| >26 | 102 (72.9) | 38 (27.1) | 96 (68.6) | 44 (31.4) | ||
| Gender | ||||||
| Male | 66 (84.6) | 12 (15.4) | 0.129 | 56 (71.8) | 22 (28.2) | 0.872 |
| Female | 141 (76.2) | 44 (23.8) | 131 (70.8) | 54 (29.2) | ||
| Education | ||||||
| Bachelor's degree | 199 (79.9) | 50 (20.1) | 0.043* | 181 (72.7) | 68 (27.3) | 0.017* |
| Master's degree | 8 (57.1) | 6 (42.9) | 6 (42.9) | 8 (57.1) | ||
| Job experience (years) | ||||||
| <5 | 135 (84.9) | 24 (15.1) | 0.001* | 120 (75.5) | 39 (24.5) | 0.138 |
| 6–10 | 43 (69.4) | 19 (30.6) | 37 (59.7) | 25 (40.3) | ||
| 11–15 | 11 (47.8) | 12 (52.8) | 16 (69.6) | 7 (30.4) | ||
| +16 | 18 (94.7) | 1 (5.3) | 14 (71.1) | 5 (28.9) | ||
| Employment status | ||||||
| Contractual | 155 (83.8) | 30 (16.2) | 0.008* | 134 (72.4) | 51 (27.6) | 0.122 |
| Permanent | 19 (65.5) | 10 (34.5) | 16 (55.2) | 13 (44.8) | ||
| Official | 33 (67.4) | 16 (32.6) | 37 (75.5) | 12 (24.5) | ||
Figures are number (%); * P value <0.05.