Barriers and facilitators to using a clinical decision support tool for the management of osteoarthritis pain in patients undergoing hemodialysis: a qualitative study.

BACKGROUND: While osteoarthritis is a significant issue within the hemodialysis population and contributes to reduced quality of life, pain related to osteoarthritis is poorly managed by healthcare professionals (HCPs) in hemodialysis settings due to the absence of clinical guidance applicable to this population. The purpose of this study was to explore the perceptions of HCPs on the barriers and facilitators to using a clinical decision support tool for osteoarthritis pain management in the hemodialysis setting. METHODS: A qualitative descriptive study was conducted. Purposeful and snowball sampling techniques were used to recruit hemodialysis clinicians from academic and community settings across multiple Canadian provinces. One-to-one interviews were conducted with clinicians using a semi-structured, open ended interview guide informed by the Theoretical Domains Framework, a behavior change framework. A general inductive approach was applied to identify the main themes of barriers and facilitators. RESULTS: A total of 11 interviews were completed with 3 nephrologists, 2 nurse practitioners and 6 pharmacists. Findings revealed 6 main barriers and facilitators related to the use of the clinical decision support tool. Alignment of the tool with practice roles emerged as a key barrier and facilitator. Other barriers included challenges related to the dialysis environment, varying levels of clinician comfort with pain medications, and limited applicability of the tool due to patient factors. An important facilitator was the intrinsic motivation among clinicians to use the tool. CONCLUSIONS: Most participants across the included hemodialysis settings expressed satisfaction with the clinical decision support tool and acknowledged its overall potential for improving osteoarthritis pain management among patients on hemodialysis. Future implementation of the tool may be limited by existing roles and practices at different institutions. Increased collaboration among hemodialysis and primary care teams may promote uptake of the tool.

Development and Validation of a Treatment Algorithm for Osteoarthritis Pain Management in Patients With End-Stage Kidney Disease Undergoing Hemodialysis.

Background: Although osteoarthritis is common in the hemodialysis population and leads to poor health outcomes, pain management is challenged by the absence of clinical guidance. A treatment algorithm was developed and validated to aid hemodialysis clinicians in managing osteoarthritis pain. Objective: The objective was to develop and validate a treatment algorithm for managing osteoarthritis pain in patients undergoing hemodialysis. Design: A validation study was conducted based on Lynn's method for content validation. Setting: To develop and validate a treatment algorithm, interviews were conducted virtually by the primary researcher with clinicians from various institutions across the Greater Toronto and Hamilton Area in Ontario. Patients: The treatment algorithm was developed and validated for the management of osteoarthritis pain in patients on hemodialysis. Patients were not involved in the development or validation of the tool. Measurements: The algorithm was measured for content and face validity. Content validity was measured by calculating the content validity index of each component (I-CVI) of the algorithm and the overall scale validity index (S-CVI). Face validity was assessed by calculating the percentage of positive responses to the face validity statements. Methods: A draft algorithm was developed based on literature searches and expert opinion and validated by interviewing nephrology and pain management clinicians. Through consecutive rounds of 1:1 interviews, content and face validity were assessed by asking participants to rate the relevance of each component of the algorithm and indicate their level of agreeability with a series of statements. Following each round, the I-CVI of the algorithm as well as the S-CVI was calculated and the percentage of positive responses to the statements was determined. The research team revised the algorithm in response to the findings. The final algorithm provides a stepwise approach to the non-pharmacologic and pharmacologic management of pain, including topical, oral, and opioid use. Results: A total of 18 clinicians from 7 institutions across the Greater Toronto and Hamilton Area were interviewed (10 pharmacists, 5 nurse practitioners, and 3 physicians). The average S-CVI of the algorithm across all 3 rounds was 0.93. At least 78% of participants provided positive responses to the face validity statements. Limitations: An algorithm was developed based on input from clinicians working in the province of Ontario, limiting the generalizability of the algorithm across provinces. In addition, the algorithm did not include the perspectives of primary care providers or patients/caregivers. Conclusions: An algorithm for the management of osteoarthritis pain in the hemodialysis population was developed and validated through expert review to standardize practices and encourage clinicians to use evidence-based treatments and address the psychosocial symptoms of pain. As the algorithm possesses a high degree of content and face validity, it may improve osteoarthritis pain management among patients undergoing hemodialysis. Future research will assess the implementation of the algorithm across hemodialysis settings.

Contexte: Bien que l'arthrose soit fréquente et qu'elle entraîne de mauvais résultats de santé chez les patients en hémodialyse, la gestion de la douleur liée à l'arthrose est limitée par l'absence de directives cliniques. Un algorithme de traitement a été développé et validé afin d'aider les cliniciens en hémodialyse à gérer la douleur liée à l'arthrose chez leurs patients. Objectifs: Développer et valider un algorithme de traitement pour la prise en charge de la douleur liée à l'arthrose chez les patients en hémodialyse. Conception: Étude de validation menée en utilisant la méthode de Lynn pour la validation du contenu. Cadre: Pour élaborer et valider l'algorithme, le chercheur principal a mené des entrevues en mode virtuel avec des cliniciens de divers établissements de Hamilton et de la région du Grand Toronto (Ontario). Sujets: L'algorithme de traitement a été développé et validé pour la prise en charge de la douleur liée à l'arthrose chez les patients en hémodialyse. Ces derniers n'ont pas participé au développement ou à la validation de l'outil. Mesures: La validité du contenu et la validité apparente de l'algorithme ont été évaluées. La validité du contenu a été mesurée en calculant l'indice de validité de chaque composante (I-CVI) de l'algorithme, ainsi que l'indice de validité à l'échelle globale (S-CVI). La validité apparente a été évaluée en calculant le pourcentage de réponses positives aux énoncés de validité apparente. Méthodologie: Une ébauche de l'algorithme a été développée à partir de recherches de littérature scientifique et d'avis d'experts, puis validée lors d'entretiens avec des cliniciens en néphrologie et en gestion de la douleur. Afin d'évaluer la validité du contenu et la validité apparente de l'algorithme, les cliniciens ont participé à des séries consécutives d'entretiens individuels où ils devaient évaluer la pertinence de chaque composante de l'algorithme et indiquer leur niveau d'accord avec une série d'énoncés. L'indice de validité du contenu de chaque composante (I-CVI) de l'algorithme, l'indice de validité de l'échelle globale (S-CVI) et le pourcentage de réponses positives aux énoncés ont été calculés après chaque tour. L'algorithme a ensuite été révisé par l'équipe de recherche en réponse aux résultats. L'algorithme final fournit une approche par étapes pour la gestion non pharmacologique et pharmacologique (traitement local, oral, opioïdes) de la douleur. Résultats: En tout, 18 cliniciens provenant de 7 établissements de Hamilton et de la région du Grand Toronto ont été interviewés (10 pharmaciens, 5 infirmières praticiennes et 3 médecins). L'indice S-CVI moyen de l'algorithme pour les trois séries d'entrevues était de 0,93. Au moins 78 % des participants ont fourni des réponses positives aux énoncés de validité apparente. Limites: L'algorithme a été élaboré à partir des données fournies par des cliniciens travaillant dans la province de l'Ontario, ce qui limite sa généralisabilité dans les autres provinces. Aussi, l'algorithme n'inclut pas le point de vue des prestataires de soins primaires ou des patients/soignants. Conclusion: Un algorithme de prise en charge de la douleur liée à l'arthrose chez les patients en hémodialyse a été développé et validé par des experts afin de normaliser les pratiques et d'encourager les cliniciens à utiliser des traitements fondés sur les preuves et à traiter les symptômes psychosociaux de la douleur. L'algorithme ayant montré un degré élevé de validité du contenu et de validité apparente, il a ainsi le potentiel d'améliorer la gestion de la douleur liée à l'arthrose chez les patients en hémodialyse. Les recherches à venir évalueront l'application de l'algorithme dans divers contextes d'hémodialyse.

Patients' experiences of medication management while navigating ongoing care between outpatient services: A qualitative case study of patients on hemodialysis.

Background: Patients on hemodialysis have complex medical diagnoses and medication regimens, requiring access to numerous health services and consultation with various healthcare providers. While interprofessional collaboration can optimize care among hemodialysis patients, these patients commonly experience medication-related problems and frequent hospitalizations resulting from miscommunications and mismanagement of medications. Objectives: This study aims to capture the lived experiences of patients on hemodialysis to reveal their medication management needs as they navigate ongoing care between various outpatient services. Methods: A qualitative methodology was used to explore the perspectives of hemodialysis patients. One-on-one, in-person, semi-structured interviews were conducted at an outpatient hemodialysis clinic located inside an urban teaching hospital. English-speaking adults 18 years and older who have been followed at the clinic for at least three months were selected through random, convenience sampling. Interviews were recorded and transcribed verbatim. Patients were recruited and data were collected iteratively and continued until data saturation was reached. Data was analyzed through the lens of the Picker Principles of Patient Centered Care using a general inductive approach. Results: A total of nine interviews were conducted. Two major themes, medication management and care navigation, were identified. Though patients had a wealth of knowledge about their medications, and they were motivated to self-manage their medications to enhance their well-being, they experienced barriers with medication management. Patients further expressed challenges with navigating care and spoke of the importance of having good rapport with healthcare providers who are attentive to their needs. Conclusions: The results revealed a need for improved support for self-care and interprofessional collaboration to possibly reduce the burden of medications and care fragmentation experienced by patients and improve continuity of care for patients.