| Literature DB >> 22942232 |
John Wallace1, Bosah Nwosu, Mike Clarke.
Abstract
OBJECTIVE: To review the barriers to the uptake of research evidence from systematic reviews by decision makers. SEARCH STRATEGY: We searched 19 databases covering the full range of publication years, utilised three search engines and also personally contacted investigators. Reference lists of primary studies and related reviews were also consulted. SELECTION CRITERIA: Studies were included if they reported on the views and perceptions of decision makers on the uptake of evidence from systematic reviews, meta-analyses and the databases associated with them. All study designs, settings and decision makers were included. One investigator screened titles to identify candidate articles then two reviewers independently assessed the quality and the relevance of retrieved reports. DATA EXTRACTION: Two reviewers described the methods of included studies and extracted data that were summarised in tables and then analysed. Using a pre-established taxonomy, the barriers were organised into a framework according to their effect on knowledge, attitudes or behaviour.Entities:
Year: 2012 PMID: 22942232 PMCID: PMC3437427 DOI: 10.1136/bmjopen-2012-001220
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Characteristics of included studies
| Year published, country | Objective | Design and focus | Participants | Date conducted |
|---|---|---|---|---|
| Wilson, | To determine attitudes on the importance of effectiveness information | Postal questionnaire | 338 Medical directors | 1999 |
| Paterson-Brown | To establish the availability of meta-analytic overviews and to find out how obstetricians keep up to date | Telephone survey | 98 Obstetricians | 1993 |
| Hanson, | To determine current, understanding of study, methodology and critical appraisal | Questionnaire, self-administered | 532 Surgeons and allied professionals from 78 countries | 2002 |
| Poolman | They examined perceptions and competence in EBM | Postal survey | 366 Orthopaedic surgeons | 2005 |
| Sur | Investigated the attitudes of urologists towards EBM | Web-based survey | 714 Urologists | 2005 |
| Dahn | To investigate the attitudes of urologists to EBM | Mail survey | 889 Urologists | 2006 |
| McAlister | To assess the attitudes of general internists to EBM | Postal Survey | 294 Physicians | 1997 |
| Wilson | To identify current methods of making research evidence accessible | Postal survey | 1406 General practitioner | 1999 |
| Young and Ward (2001), Australia | Examine views about EBM | Postal Survey and Semi-structured | 60 General practitioners (GPs) | 1999 |
| McCaw | Gain an insight into the use of Internet | Postal survey | 542 Community pharmacists (178) GPs (364) | 2005 |
| Kerse | Access to Internet and Cochrane Library | Cross-sectional postal and fax survey | 381 GPs | 1999–2000 |
| McColl | To determine the attitude to EBM and perceived usefulness of databases | Postal questionnaire | 302 GP principals | 1997 |
| Bennett | To find out about attitudes to EBP and implementation barriers | Postal questionnaire | 649 Occupational therapists | 2000 |
| Young and Ward (1999), Australia | To determine awareness and use of the Cochrane Library and access to the Internet | Postal questionnaire | 311 GPs | 1997 |
| Prescott | To establish the awareness of research evidence | Self-administered, postal questionnaire survey | 800 GPs | 1996 |
| Jordans | To determine the proportion who report using systematic reviews | Cross-sectional telephone survey obstetricians | 224 Neonatologists | 1995 |
| Ciliska | To gain an understanding of research needs, perceptions of barriers to research utilisation and attitudes towards systematic reviews | Telephone questionnaire survey | 226 Decision makers in public health Included doctors | NK |
| Olatunbosun | To examine views of EBM | Self-administered, two-page questionnaire | 190 Physicians in obstetric practice | 1996 |
| Melnyk | Describe major barriers and facilitators to EBP | Limited survey | 160 Nurses | 2003 |
| Gavgani and Mohan (2008), India | Directed at exploring attitudes towards EBM | Survey method | 98 Physicians | 2008 |
| Wilson | To assess the awareness and use of NHSnet | Postal survey questionnaire | 1364 | 2001 |
| Carey | To determine the attitudes of towards the practice of EBM | Postal questionnaire | 139 Psychiatrists | 1998 |
| Lawrie | To examine attitudes to evidence-based psychiatry | Survey, postal | 93 Senior psychiatrists | NK |
| Hyde | To examine use of Cochrane Pregnancy and Childbirth Database (CPCD) | Postal survey | 274 subscribers to CPCD | 1994 |
| Martis | The aim was to assess current knowledge of evidence-based practice | Survey, postal | 660 Healthcare professionals | 2005 |
| Dobbins | The purpose was to identify preferences for the transfer and exchange of research knowledge | Semistructured interviews | 16 Policy decision makers | 2001 |
| Dobbins | To discover public health decision makers’ preferences for content, format and channels for receiving research knowledge | One-hour focus groups | 46 Policy makers | 2002–2003 |
EBM, Evidence-based medicine; EBP, Evidence-based practice; NK, Not known; DARE, Database of reviews of effects
Methods and quality
| Study | Sample frame | Response rate | Measurement of use of evidence |
|---|---|---|---|
| Wilson | Purposive sample of 491 Medical directors | (69%) 338/491 | Reported use |
| Paterson-Brown | Purposive sample of 98 obstetricians | (100%) 98/98 | Reported use |
| Hanson | Purposive sample of 1064 surgeons/others | (50%) 532/1064 | Reported use |
| Poolman | Purposive sample of 611 orthopaedic surgeons | (60%) 366/611 | Reported use |
| Sur | Purposive sample of 8100 urologists | (8.8%) 714/8100 | Reported use |
| Dahm | Random sample of 2000 urologists | (45%) 889/2000 | Reported use |
| McAlister | Purposive sample of 294 general Physicians. | (59%) 294/521 | Reported use |
| Wilson | Purposive sample of 3087 individuals | (45%) 1406/3087 | Reported use |
| Young and Ward (2001) | Sample of 60 general practitioners (GPs) | | Reported use |
| McCaw | Sample of 1081 GPs and 522 pharmacists | (34%) 542/1603 | Reported use |
| Kerse | Random sample of 459 GPs | (83%) 381/459 | Reported use |
| McColl | Random sample of 452 GPs | (63%) 302/452 | Reported use |
| Bennett | Proportional random sample of 1491 occupational therapists | (44%) 649/1491 | Reported use |
| Young and Ward (1999) | Random sample of 428 GPs | (73%) 311/428 | Reported use |
| Prescott | Random sample of 800 GPs | (62%) 501/800 | Reported use |
| Jordans | Random sample of 145 Obstetricians and 104 neonatologists | (90%) 224/248 | Reported use |
| Ciliska | 277 who met inclusion criteria of decision makers | (87%) 242/277 | Reported use |
| Olatunbosun | Random sample of 190 family physicians and obstetricians | (76%) 148/190 | Reported use |
| Melnyk | ‘Convenient’ sample Well described sample | (100%) 160/1600 | Reported use |
| Gavgani and Mohan (2008) | Random sample | (65%) 98/150 | Reported use |
| Wilson | All GPs in defined area. | (44%) 1364/3090 | Reported use |
| Carey and Hall (1999) | All psychiatrists in a defined area | (64%) 139/216 | Reported use |
| Lawrie | All in a defined area | (76%) 93/123 but just 22/123 (17%) contributed to this review | Reported use |
| Hyde | All subscribers to CPCD | 71% 274/387 | Reported use |
| Martis | All in a defined area | NK | Reported use |
| Dobbins | Purposeful sample | 46/60 (77%) | Reported use |
| Dobbins | Purposeful sample | 16/NK | Reported use |
Barrier descriptive findings
| Barrier category | Barrier descriptive |
|---|---|
| Knowledge barriers | Eleven studies measured lack of awareness as a possible barrier. The percentage of respondents reporting lack of awareness as a barrier was as high as 82% and as low as 1%, with a median of 55%. Eleven surveys measured lack of access as a possible barrier. The percentage of respondents identifying lack of access as a barrier was as high as 95% and as low as 3%, with a median of 55%. Seven surveys measured lack of familiarity as a possible barrier. The percentage of respondents suggesting lack of familiarity as a barrier was as high as 98 and as low as 19%, with a median of 70% |
| Attitudinal barriers | Seven surveys measured lack of perceived usefulness as a possible barrier. The percentage of respondents identifying lack of usefulness as a barrier was as high as 95% and as low as 7%, with a median of 16.5%. Four studies measured lack of motivation as a possible barrier. The percentage of respondents identifying this barrier was as high as 10% and as low as 2% with a median of 3.6% |
| Behaviour barriers | Five studies investigated ten external barriers to review uptake. More than 10% of respondents cited lack of resources, lack of positive policy climate, lack of workshop attendance and lack of training as possible environmental barriers. Fourteen surveys looked at lack of use of systematic reviews. The percentage of respondents reporting lack of use was as high as 99% and as low as 18% with a median of 78% |
Figure 1PRISMA Flow diagram
Search of PubMed and EMBASE
| Search | Query | Items found |
|---|---|---|
| 1 | Systematic review AND barriers AND knowledge uptake | 1 |
| 2 | Meta-analysis AND barriers AND knowledge uptake | 1 |
| 3 | Systematic review AND obstacles AND knowledge uptake | 1 |
| 4 | Meta-analysis AND obstacles AND knowledge uptake | 0 |
| 5 | Systematic review AND barriers AND knowledge utilisation | 3 |
| 6 | Meta-analysis AND barriers and knowledge utilisation | 2 |
| 7 | Systematic review AND obstacles AND knowledge utilisation | 0 |
| 8 | Meta-analysis AND obstacle AND knowledge utilisation | 0 |
| 9 | Overview* OR review* AND impairment* AND knowledge translation | 13 |
| 10 | Systematic review* OR meta-analysis* AND barrier* AND decision-making | 16 |
| 37 citations were returned, none of which met inclusion criteria | ||
| 1 | Systematic review AND barriers AND knowledge uptake | 14 |
| 2 | Meta-analysis AND barriers AND knowledge uptake | 5 |
| 3 | Systematic review AND obstacles AND knowledge uptake | 0 |
| 4 | Meta-analysis AND obstacles AND knowledge uptake | 0 |
| 5 | Systematic review AND barriers AND knowledge utilisation | 14 |
| 6 | Meta-analysis AND barriers and knowledge utilisation | 0 |
| 7 | Systematic review AND obstacles AND knowledge utilisation | 0 |
| 8 | Meta-analysis AND obstacle AND knowledge utilisation | 0 |
| 9 | Overview* OR review* AND impairment* AND knowledge translation | 0 |
| 10 | Systematic review* OR meta-analysis* AND barrier* AND decision-making | 0 |
| 32 citations were returned, 1 full text article retrieved, no report met inclusion criteria | ||
Number of barriers investigated by each study to the uptake of evidence from systematic reviews, meta-analyses and the databases containing them
| Surveys | Number of barriers addressed by each study |
|---|---|
| Wilson | 4: Lack of access, awareness, use and training |
| Paterson-Brown | 2: Lack of access and awareness |
| Hanson | 2: Lack of trust and training |
| Poolman | 2: Lack of understanding, use |
| Sur | 3: Lack of awareness, use and understanding |
| Dahm | 3: Lack of awareness, use and understanding, |
| McAlister | 1: Lack of use |
| Wilson | 1: Lack of access |
| Ward andYoung (2001) | 3: Lack of access, understanding and usefulness |
| McCaw | 1: Lack of use |
| Kerse | 3: Lack of access, awareness and use |
| McColl | 3: Lack of awareness, access and understanding |
| Bennett | 1: Lack of confidence |
| Young and Ward (1999) | 3: Lack of awareness, access and use |
| Paterson-Brown (1993) | 3: Lack of awareness, availability and need |
| Prescott | 2. Lack of use and awareness |
| Jordan | 3: Lack of use, awareness and access |
| Ciliska | 4: Lack of awareness, use, policy climate and resources |
| Olatunbosun | 1: Lack of access |
| Melnyk | 1: Lack of use |
| Gavgani | 2: Lack of use and usefulness |
| Wilson | 4: Lack of access, awareness, use and training |
| Carey and Hall, (1999) | 1: Access |
| Lawrie | 1: Ability to search |
| Hyde | 1: Ability to search |
| Martis | 5: Lack of access, awareness, use, usefulness and training |
| Qualitative studies | |
| Dobbins | 2: Lack of access and training |
| Dobbins | 4: Lack of relevance, implications, implementation strategies and understanding of the information needs of the target audience |
| Wilson | 7. Limited range, access, focus, use, up-datedness, promotion and time |