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Record W2566033930 · doi:10.18438/b8dw6q

Free Access to Point of Care Resource Results in Increased Use and Satisfaction by Rural Healthcare Providers

2016· article· en· W2566033930 on OpenAlexaffvenue
Lindsay Alcock

Bibliographic record

VenueEvidence Based Library and Information Practice · 2016
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsHealth careRandomized controlled trialFamily medicineMedicineResource (disambiguation)NursingPsychologyPolitical scienceComputer science

Abstract

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A Review of: Eldredge, J. D., Hall, L. J., McElfresh, K. R., Warner, T. D., Stromberg, T. L., Trost, J. T., & Jelinek, D. A. (2016). Rural providers’ access to online resources: A randomized controlled trial. Journal of the Medical Library Association, 104(1), 33-41. http://dx.doi.org/10.3163/1536-5050.104.1.005 Objective – To determine whether free access to the point of care (PoC) resource Dynamed or the electronic book collection AccessMedicine was more useful to rural health care providers in answering clinical questions in terms of usage and satisfaction. Design – Randomized controlled trial. Setting – Rural New Mexico. Subjects – Twenty-eight health care providers (physicians, nurses, physician assistants, and pharmacists) with no reported access to PoC resources, (specifically Dynamed and AccessMedicine) or electronic textbook collections prior to enrollment. Methods – Study participants from a previously identified underserved rural area were selected and contacted by email. Interested participants were able to enroll through a link in the email invitation and then contacted by a member of the research team. Study participants were stratified by geographic region and occupation, then randomized and allocated to receive free access to either Dynamed or AccessMedicine for six months. Usage and satisfaction were determined prior to intervention and after six months of use for the allocated resource through survey data. Other survey data collected included demographic information, how long participants took on average to locate clinical information, what participants’ preferred information sources were for clinical information and patient information, willingness to pay for access to information, and usage and satisfaction of other resources including free medical websites, fee-based websites, print scientific journals, PubMed or MEDLINE, general web resources, UpToDate, etc. Participation was voluntary and those enrolled were able to withdraw at any time. Data related to the subjects/topics searched in the intervention resources were not collected and all identifying participant information was removed following the linkage of the pre-intervention survey, the resource access data, and the post-intervention survey. During the intervention period medical students on the research team provided technical support and training to study participants including phone and email support and in-house training videos. Pre- and post-intervention user satisfaction and frequency of use of 13 health resources were compared with doubly repeated ANOVA measures, adjusted using Huynh-Feldt to reduce Type 1 error rate. Cohen’s d-statistic was used to determine the effect size difference. Main Results – The authors hypothesized that clinicians would prefer and be more satisfied with the clinically oriented Dynamed rather than the textbook based AccessMedicine, and that these two resources would be preferred over other resources normally utilized by participants. Participants in the Dynamed arm reported an increase in the use of Dynamed, but no significant change in the use of AccessMedicine. Participants in the AccessMedicine arm reported an increase in use of AccessMedicine, but no increase in the use of UpToDate or Dynamed, despite the fact that these participants did not report access to UpToDate upon study enrollment. Reported usage of the other 13 resources varied across time indicating a highly significant Resource main effect. That is, the effect of the intervention, regardless of the study arm and the time of assessment, was statistically significant. Reported use of the 13 resources was higher in the Dynamed arm, though it is important to note that reported use and level of satisfaction was higher at baseline and posttest for the Dynamed arm indicating a potential randomization error. An increase in satisfaction with only AccessMedicine was reported in the AccessMedicine arm while an increase in satisfaction with UpToDate, Dynamed, and AccessMedicine was reported in the Dynamed arm. In terms of reported use, Cohen’s d indicated an increase of +1.50 for Dynamed users compared to 0.82 for AccessMedicine users. Both arms reported an increase in the number of searches, the success of searches and satisfaction with the level of information obtained from searches. Neither intervention resulted in a change from baseline related to participants’ willingness to pay for regular access to an online health information resource. Conclusion – Free access to online health information resources is a potential benefit to health professionals in terms of usage and satisfaction, and participants utilized point of care tools more heavily than the textbook-based resource thus supporting the authors’ hypothesis.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.060
GPT teacher head0.408
Teacher spread0.348 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2016
Admission routes2
Has abstractyes

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