[Orientations de facilitation pour soutenir l'application de l'Algo dans les services de soutien à domicile des personnes aînées].

Comment soutenir le déploiement de connaissances coconstruites par des personnes cliniciennes, gestionnaires ou chercheures? Ce thème est abordé à partir de l'étude de l'application de l'Algo, un algorithme clinique décisionnel conçu pour la sélection des aides techniques visant à faciliter l'hygiène corporelle des personnes aînées vivant à domicile. L'objectif de cette note sur les politiques et les pratiques est de présenter les orientations de facilitation dégagées à la suite d'un devis mixte multiphases (2015-2019) mis en œuvre dans les services de soutien à domicile au Québec (Canada). Les orientations de facilitation centrée sur la tâche et holistique sont présentées en fonction des stades d'utilisation de l'Algo, afin de soutenir les personnes cliniciennes, gestionnaires et chercheures dans la poursuite de son application auprès des personnes aînées. De plus, cette note illustre l'apport des devis mixtes à la conduite et à la compréhension de l'application des connaissances coconstruites.

Ethical Issues in Research: Perceptions of Researchers, Research Ethics Board Members and Research Ethics Experts.

In the context of academic research, a diversity of ethical issues, conditioned by the different roles of members within these institutions, arise. Previous studies on this topic addressed mainly the perceptions of researchers. However, to our knowledge, no studies have explored the transversal ethical issues from a wider spectrum, including other members of academic institutions as the research ethics board (REB) members, and the research ethics experts. The present study used a descriptive phenomenological approach to document the ethical issues experienced by a heterogeneous group of Canadian researchers, REB members, and research ethics experts. Data collection involved socio-demographic questionnaires and individual semi-structured interviews. Following the triangulation of different perspectives (researchers, REB members and ethics experts), emerging ethical issues were synthesized in ten units of meaning: (1) research integrity, (2) conflicts of interest, (3) respect for research participants, (4) lack of supervision and power imbalances, (5) individualism and performance, (6) inadequate ethical guidance, (7) social injustices, (8) distributive injustices, (9) epistemic injustices, and (10) ethical distress. This study highlighted several problematic elements that can support the identification of future solutions to resolve transversal ethical issues in research that affect the heterogeneous members of the academic community.

Algo's Integrated Knowledge Translation Process in Homecare Services: A Cross-Sectional Correlational Study for Identifying its Level of Utilization and its Associated Characteristics.

Background. Algo is an integrated knowledge translation (IKT)-based algorithm for supporting occupational therapists (OTs) with skill mix for selecting bathing equipment. While IKT approaches are increasingly valued in implementation science, their benefits with respect to the utilization of knowledge in clinical settings are scarcely documented. Purpose. To identify Algo's level of utilization and the characteristics associated with its level of utilization. Method. A cross-sectional correlational study was conducted with OTs working in homecare services (HCS) through an online survey based on Knott and Wildavsky's classification and the Promoting Action on Research Implementation in Health Services (PARIHS) framework. Findings. Almost half (48%) of the OTs surveyed (n = 125; participation rate: 16%) reached one of the seven levels of utilization. While Evidence characteristics are perceived as facilitators to its utilization, Context statements indicate an unfavorable organizational climate to the implementation of change. Implications. Strategies should target additional stakeholders (e.g., HCS managers) and organizational adjustments in HCS to sustain Algo's utilization.

Lessons on integrated knowledge translation through algorithm's utilization in homecare services: a multiple case study.

AIM: Integrated knowledge translation (IKT) is an increasingly recommended collaborative approach to minimize knowledge translation gap. Still, few studies have documented the impact of IKT to optimize knowledge uptake in healthcare settings. An IKT-based clinical algorithm (Algo) was deployed in Quebec (Canada) homecare services to support skill mix for selecting bathing equipment for community-dwelling adults. The objective of this study was to document the characteristics related to Algo's IKT process. METHODS: A multiple-case study with a nested concurrent mixed design was conducted in provincial homecare services. Based on Knott and Wildavsky's seven-stage classification and the integrated-Promoting Action on Research Implementation in Health Services model, Innovation, Recipients, and Context, characteristics related to Algo's levels of utilization were documented. Quantitative (electronic questionnaire) and qualitative (semistructured interviews and focus groups) data were collected for each case (i.e., homecare service). Descriptive statistics and thematic analysis were performed to describe each case through a mixed methods matrix, for intra/intercase analyses. RESULTS: Knowledge translation characteristics of five Algo's levels of utilization were documented: reception, cognition, reference, effort, and impact. Innovation characteristics (e.g., underlying knowledge) were found to facilitate its dissemination and its use. However, the Recipients (e.g., unclear mechanisms to implement change) and Context (e.g., organizational mandates nonaligned with skill mix) characteristics hampered its application through intermediate and advanced levels of utilization. CONCLUSION: The knowledge translation analysis of Algo allowed for documenting the IKT-based benefits in terms of utilization in healthcare settings. Although an IKT approach appears to be a strong facilitator for initiating the implementation process, additional characteristics should be considered for promoting and sustaining its use on local, organizational, and external levels of context. Facilitation strategies should document the administrative benefits related to Algo's utilization and contextualize it according to homecare services' characteristics.

Deimplementing Untested Practices in Homecare Services: A Preobservational-Postobservational Design.

INTRODUCTION: With community-dwelling elders waiting to adapt their bathroom, Health and Social Services Centers in Quebec (Canada) combined human resources through cross-skilling within interdisciplinary teams. To this end, occupational therapists implemented in-house "tools" to support nonoccupational therapists in selecting bathing equipment. However, unknown psychometric properties of those in-house "tools" cast doubt on the quality of service provided to elders. Little is also known about the best processes to use to support the deimplementation of such nonevidence-based practices. This study presents the effect of a knowledge transfer and exchange intervention designed to deimplement in-house "tools" and replace them with an evidence-based tool (Algo). METHODS: Censuses were conducted with the 94 Health and Social Services Centers of Quebec providing homecare services, before and after the knowledge transfer and exchange intervention (2009-2013). In 2013, the deimplementation of in-house "tools" and their replacement by Algo were measured with Knott and Wildavsky's levels of utilization. RESULTS: Cross-skilling within interdisciplinary teams increased between censuses (87% to 98%), as did use of in-house "tools" (67% to 81%). Algo's uptake started during the knowledge transfer and exchange process as 25 Health and Social Services Centers achieved the first level of utilization. Nonetheless, no Health and Social Services Center deimplemented the in-house "tools" to use Algo. CONCLUSION: The knowledge transfer and exchange process led to the development of a scientifically sound clinical tool (Algo) and challenged the status quo in clinical settings regarding the use of nonevidence-based practices. However, the deimplementation of in-use practices has not yet been observed. This study highlights the need to act proactively on the deimplementation and implementation processes.

Can We Quickly and Thoroughly Assess Pain with the PACSLAC-II? A Convergent Validity Study in Long-Term Care Residents Suffering from Dementia.

A previous study found that the modified version of the Pain Assessment Checklist for Seniors with Limited Ability to Communicate (PACSLAC-II) is a valid tool to assess pain in elderly individuals suffering from dementia and who are unable to communicate verbally. The primary objective of this study was to confirm the convergent validity of the PACSLAC-II using direct evaluation of long-term care residents in real-life situations, using two other well-validated pain assessment scales (i.e., PACSLAC and Pain Assessment in Advanced Dementia [PAINAD]). A secondary objective was to document and compare the time required to complete and score each assessment scale. During two potentially painful procedures (i.e., transfer/mobilization), 46 long-term care residents (mean age = 83 ± 10 years) suffering from dementia were observed by three independent evaluators, each using one of the assessment scales (randomly assigned). Correlational analyses and analysis of variance were used to evaluate the association between each scale and to compare scoring time. The PACSLAC (r = 0.61) and the PAINAD (r = 0.65) were both moderately associated with the PACSLAC-II (all p values < .001). The PAINAD's average scoring time (63 ± 19 seconds) was lower than the PACSLAC-II's (96 ± 2 seconds), which was lower than the PACSLAC's (135 ± 53 seconds) (all p values < .001). These results suggest that the PACSLAC-II is a valid tool for assessing pain in individuals with dementia. The time required to complete and score the PACSLAC-II was reasonable, supporting its usefulness in clinical settings.

Algo Used by Homecare Nonoccupational Therapists Selecting Bathing Assistive Technology: Enhancing Standardization by Exploring Clinical Reasoning.

Algo is a clinical decision algorithm developed to support nonoccupational therapists in establishing assistive technology recommendations to enable physically disabled adults to perform their hygiene at home. This study aimed to explore the in-depth clinical reasoning of nonoccupational therapists using Algo to pinpoint the items leading to disagreements regarding recommendations. A multiple-case study was conducted with eight nonoccupational therapists trained to use Algo and filmed while using it with six standardized clients. Explicitation interviews were conducted for the conflicting recommendations. Identifying the key reasoning skills to develop in Algo users has led to three recommendations to enhance standardization with seniors.

Interrater reliability of Algo used by non-occupational therapist members of homecare interdisciplinary teams.

PURPOSE: To determine if non-occupational therapists (non-OTs) with different job titles using Algo, a clinical algorithm for recommending bathroom modifications (e.g., bath seat) for community-dwelling elders in "straightforward" situations, will make clinically equivalent recommendations for standardized clients. METHOD: Eight non-OTs (three social workers, two physical rehabilitation therapists, two homecare aides and one auxiliary nurse) were trained on Algo and used it with six standardized clients. Bathroom adaptations recommended (one of nine options) by non-OTs were compared to assess interrater agreement using Fleiss adapted kappa. RESULTS: Estimated kappa was 0.43 [0.36; 0.49] qualified as a moderate agreement, according to Landis and Koch's arbitrary divisions, among the recommendations of non-OTs. However, clinical equivalence is reached, since safety and client needs were met when raters selected two different options (e.g., with or without a seat back). CONCLUSIONS: Non-OTs using Algo in the same simulated clinical scenarios recommend clinically equivalent bathroom adaptations, increasing the confidence regarding the interrater reliability of Algo used by non-OT members of homecare interdisciplinary teams Implications for Rehabilitation In homecare services, non-occupational therapists from different health care disciplines (e.g., homecare aides, social workers, physical rehabilitation therapists) may be asked to select assistive devices for the hygiene care of clients living at home. Algo was designed to guide non-occupational therapists in the selection of assistive devices when performed with clients in straightforward cases. This study indicates that non-occupational therapists using Algo recommend similar and acceptable bathroom adaptations to enhance client safety.