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Record W1527393616 · doi:10.18438/b8zg9p

Adaptation of Impact Questions from an Existing Toolkit Provided Clear Assessment of Valued Service Elements and Desirable Service Improvements in a Primary Health Care Library and Information Service

2011· article· en· W1527393616 on OpenAlexvenueno aff
Kate Kelly

Bibliographic record

VenueEvidence Based Library and Information Practice · 2011
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsnot available
Fundersnot available
KeywordsService (business)Service delivery frameworkMedicinePromotion (chess)Service designMedical educationNursingBusinessMarketingPolitical science

Abstract

fetched live from OpenAlex

Objective – To provide an action plan for the Knowledge, Resource and Information Service (KRIS) based on an impact assessment of current services, satisfaction with current services, and views on desirable improvements to service and service delivery. Design – Questionnaire for KRIS service users and interviews with KRIS staff. Setting – Two locations served by KRIS in the north and south of Bristol City in the UK – one a health promotion service and one a National Health Service (NHS) teaching hospital. Subjects – A convenience sample of a total of 244 users of the library services at the two locations, 121 users at the health promotion service site and 123 users at the hospital site. Methods – A questionnaire designed for a previous NHS library service impact study was adapted for use with staff other than health workers, since teachers and youth workers, for example, also used the health promotion service. The researchers circulated the questionnaire by mail and email to prospective respondents. The questionnaire asked participants to reflect on the most recent time they had used KRIS services and provide details on the purpose of use, what elements of the service they used, satisfaction with the service or the information provided, the immediate impact on their work, and its probable contribution to future work. It also asked about desirable improvements and how KRIS contributed to the respondents’ work and continuing professional development. The researchers interviewed KRIS staff face to face and asked for their views on the history of the service and future developments. Main Results – The overall response rate was 62.3% (152/244), with similar responses from each site. Community nurses and midwives were the largest group of respondents (n=31, 20.4%), followed by managers and administrators (n=24, 15.8%). Both sites reported health promotion activities as the dominant reason for use. Health promotion leaflets (n=94, 61.8%) and resources for loan (n=57, 37.5%) were the top two service elements used, with literature searching third (n=46, 30.3%). The service completely met the needs of 93% (n=141) of respondents, with 97.4% (n=148) reporting being wholly satisfied that information was delivered in time. In terms of the immediate cognitive impact of the information obtained, 93% (n=141) reported obtaining relevant information, 76% (n=115) current information, and 72% (n=109) accurate information. Nearly 70% were distributing information or resources to other people, and 68% were sharing or discussing information provided with colleagues. Nobody claimed that they had found little or nothing of value. Advice to patients, clients or carers was the most frequently cited impact category (n=104, 68%), followed by advice to colleagues (n=84, 55.3%). The main strengths of the service were the perceived reliability of the service, the current awareness and alerting service run from one site, and literature searching support for commissioning and public health enquiries. Respondents reported saving time, and the main cognitive impact was the perceived relevance of the information obtained. Service weaknesses identified related to accessibility issues such as parking, opening hours, and staff coverage, and outreach was identified as the main service development opportunity. Conclusion – The adaptation of an existing questionnaire provided a clear assessment of the effectiveness of a primary health care information service to a broad spectrum of users. Respondents identified what they valued about the service and how it could be improved.

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)0.024
metaresearch head score (Gemma)0.037
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.125

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.037
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.003

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 head0.108
GPT teacher head0.436
Teacher spread0.329 · 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
Published2011
Admission routes1
Has abstractyes

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