Study of Limited Value in Exploring Irish Hospital Clinicians’ Information Behaviour and Attitudes Towards the Clinical Informationist
Bibliographic record
Abstract
Objective – To determine the self-perceived information needs, information-seeking strategies, and skill levels of hospital clinicians, in addition to their opinions on the inclusion of a clinical informationist (CI) in their clinical teams.
 
 Design – Questionnaire survey.
 
 Setting – Two public, medium-sized teaching hospitals (200-250 beds) in Ireland.
 
 Subjects – Hospital clinicians. 
 
 Methods – A 33-item questionnaire (pilot tested on nurses) was deployed using SurveyMonkey. Participants were recruited using snowball sampling and were emailed the link to the questionnaire in June, July, and August of 2008. Hard copies of the questionnaire were also distributed at one of the hospitals; the librarian at this hospital manually entered the responses into SurveyMonkey. Survey results were analyzed using descriptive statistics.
 
 Main Results – Of 230 eligible hospital clinicians (HCs), 22 participated in the survey. Of the HCs surveyed, 90% spend “over 21 hours per week engaged in patient care” (p. 26). During this time the HCs generate an average of 1-5 clinical questions each. The HCs surveyed frequently required information on the latest research on a specific topic, treatment, or patient problem. Information on diagnosis, drugs, prognosis, new therapies and products, or the latest information on a disease area, was required less frequently, but still by at least one-third of participants.
 
 Not having the time to conduct searches was the greatest barrier to information seeking for HCs. HCs spend from 1-10 hours per week on investigating answers to clinical questions. Most of this information seeking occurs outside of working hours, either at home or during breaks at work.
 
 To answer their clinical questions, 90% of the HCs use published, medical literature. The resources used by HCs include textbooks (30%), journals (30%), the Internet (19%), colleagues (17%), and databases (4%). The most important factors that influence resource choices are access to electronic or Internet resources: 60% prefer electronic resources rather than print resources. Additional influential factors included whether the resource was evidence-based, if it provided concise summaries of the information provided, and if the information could be found in a paper copy. HCs in this study also consult colleagues regularly, and their proximity to a colleague for consultation was a factor. 
 
 The HCs rated their search skills very high: over half (55%) rated their ability to find information as good, 15% believed they were very good, 25% felt they were average, and 5% rated themselves as poor. The HCs were also confident in finding information to meet their needs: 70% claim that they find the information they require more than half of the time. Of those HCs, 25% claim they are successful more than three quarters of the time. 
 
 65% of the HCs experience difficulties in keeping current with evidence based medicine. Evidence-based resources such as the Cochrane Collaboration are used less frequently (25%) than resources such as Medline (65%) and Google (75%). 
 
 When HCs were provided with a definition of clinical informationists (CI), 68% were not familiar with the role of CIs and only 32% of clinicians were familiar with the term “clinical informationist.” The HCs were then asked their feelings regarding the idea of involving a CI in their hospital: 18 of the 19 responses were positive. Various suggestions for how CIs could be used and the benefits of CIs were provided by the participants. Only three disadvantages of CIs were noted. Of 18 responses, 72% perceived that the inclusion of CIs would have a positive impact on patient care while 27.7% were neutral. 
 
 Conclusion – Overall, the HCs surveyed in this study ask fewer questions, have different information needs, and are more confident in their search skills than clinicians found in previous studies; however, the authors state that previous studies had been done with clinicians in office settings rather than clinicians in hospital settings. HCs in this study identified lack of time as their main barrier to researching clinical questions and when they do find the time to search for clinical questions, it is either during breaks in their day or after work at home. Their preferred resources are those found electronically. Though they value evidence-based resources, HCs rarely use them. These factors point to a need for information professionals to provide either remote access to electronic medical information resources from home, or provide a service that would allow hospital clinicians to quickly and easily find information during the work day. This is an area in which a CI might play a role. Though many HCs were not familiar with CIs, they were receptive to having a CI on their clinical team. The HCs provided various suggestions for where a CI could be involved as well as desired skills and qualifications of CIs. The only possible disadvantages that the clinicians could foresee was cost, the deskilling of clinicians’ own information-seeking skills, and medico-legal issues. The authors identified several limitations of this study which include the small sample size, the snowball sampling method and the possibility of bias in subject recruitment, and not including other health care professionals in this study. Further research regarding the information behaviour, seeking and skills of other health professionals is needed, as well as research on training and accreditation of CIs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.210 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".