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Record W2745359218 · doi:10.1093/ofid/ofx163.1024

What Psychological Theories of Behavior Change Can Teach Us about Improving Hand Hygiene Adherence: Do We Mean What We Say?

2017· article· en· W2745359218 on OpenAlexaffabout
Kimberly Corace, Jeffrey Smith, Tara K. MacDonald, Leandre R. Fabrigar, Arezou Saedi, Jacquelyn Quirk, Sam MacFarlane, Debbie Valickis, Gary Garber

Bibliographic record

VenueOpen Forum Infectious Diseases · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsUniversity of TorontoPublic Health OntarioQueen's UniversityOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsHygieneImplicit attitudeMedicineImplicit-association testPsychological interventionHealth careTest (biology)Affect (linguistics)Clinical psychologySocial psychologyPsychologyNursing

Abstract

fetched live from OpenAlex

Abstract Background Health care worker (HCW) hand hygiene is effective in reducing healthcare associated infections, yet hand hygiene rates are suboptimal. Psychological theories of behavior change can be used to improve and sustain hand hygiene adherence. While past research has examined HCW explicit attitudes towards hand hygiene (ie., self-reported attitudes), it is unclear if these explicit attitudes are consistent with implicit attitudes (ie., attitudes outside of one’s awareness). Understanding HCW explicit and implicit attitudes is important when designing effective interventions to improve hand hygiene rates. This study examined explicit attitudes towards HCW hand hygiene and compared these to implicit attitudes. Methods HCWs (N = 420) from 70 long-term care facilities in Ontario, Canada completed: (1) a survey tool based on psychological theories of behavior change to examine explicit attitudes towards hand hygiene, and (2) a computer administered implicit association test (IAT) and affect misattribution procedure (AMP) to evaluate implicit attitudes towards hand hygiene. Sociodemographics and self-reported hand hygiene adherence were measured. Factor analysis was performed to identify themes. Correlations were conducted between explicit and implicit measures. Results Factor analysis identified key explicit attitudes themes: (1) beliefs about consequences to self and others, (2) environmental resources, (3) time pressure and workload, and (4) social/professional role and identity. AMP and IAT results indicated that these procedures can be successfully applied to hand hygiene. While results suggested implicit positive attitudes towards hand hygiene, implicit test scores were neither correlated with explicit attitudes nor with self-reported hand hygiene adherence. Conclusion Explicit attitudes did not predict implicit attitudes. So, what we say is not always what we really think or do. Interventions have successfully targeted implicit attitudes to foster behavior change when targeting explicit attitudes alone did not work. This is yet to be explored in the hand hygiene arena, and is a key area for future research in order to guide the development of successful interventions to sustainably improve hand hygiene rates. Disclosures All authors: No reported disclosures.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.418
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0070.005
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.042
GPT teacher head0.369
Teacher spread0.327 · 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 teacher head, not a consensus.

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".

Quick stats

Citations1
Published2017
Admission routes2
Has abstractyes

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