RESUMO
Importance: Decisions about whether to stop colorectal cancer (CRC) screening tests in older adults can be difficult and may benefit from shared decision-making (SDM). Objective: To evaluate the effect of physician training in SDM and electronic previsit reminders (intervention) vs reminders only (comparator) on receipt of the patient-preferred approach to CRC screening and on overall CRC screening rates of older adults at 12 months. Design, Setting, and Participants: This was a secondary analysis of the Promoting Informed Decisions About Colorectal Cancer Screening in Older Adults (PRIMED) cluster randomized clinical trial. In the PRIMED trial, primary care physicians (PCPs) from 36 primary care practices in Massachusetts and Maine were enrolled between May 1 and August 30, 2019, and were randomized to the intervention group or the comparator group. Patients aged 76 to 85 years who were overdue for CRC screening and did not have a prior diagnosis of CRC enrolled between October 21, 2019, and April 8, 2021. Data analysis was performed between May 24, 2022, and May 10, 2023. Interventions: Primary care physicians in the intervention group completed an SDM training course and received previsit reminders of patients eligible for CRC testing discussion, whereas PCPs in the comparator group received reminders only. Main Outcomes and Measures: The primary outcome was concordance, or the percentage of patients who received their preferred screening approach. Postvisit surveys were administered to assess patient preference for testing, and electronic health record review was used to assess CRC testing at 12 months. Heterogeneity of treatment effect analyses examined interaction between study groups and different factors on concordance rates. Results: This study included 59 physicians and 466 older adults. Physicians had a mean (SD) age of 52.7 (9.4) years and a mean (SD) of 21.6 (10.2) years in practice; 30 (50.8%) were women and 16 (27.1%) reported prior training in SDM. Patients had a mean (SD) age of 80.3 (2.8) years; 249 (53.4%) were women and 238 (51.1%) reported excellent or very good overall health. Patients preferred stool-based tests (161 [34.5%]), followed by colonoscopy (116 [24.8%]) or no further screening (97 [20.8%]); 75 (16.1%) were not sure. The distribution of patient preferences was similar across groups (P = .36). At 12 months, test uptake was also similar for both the intervention group (29 [12.3%] for colonoscopy, 62 [26.3%] for stool-based tests, and 145 [61.4%] for no testing) and the comparator group (32 [13.9%] for colonoscopy, 35 [15.2%] for stool-based tests, and 163 [70.9%] for no testing; P = .08). Approximately half of patients in the intervention group received their preferred approach vs the comparator group (115 of 226 [50.9%] vs 103 of 223 [46.2%]; P = .47). Heterogeneity of treatment effect analyses found significantly higher rates with the intervention vs the comparator for patients with a strong intention to follow through with the preferred approach (adjusted odds ratio [AOR], 1.79 [95% CI, 1.11-2.89]; P = .02, P = .05 for interaction) and for patients who reported more than 5 minutes (AOR, 3.27 [95% CI, 1.25-8.59]; P = .02, P = .05 for interaction) of discussion with their PCP regarding screening. Higher rates were also observed among patients who reported 2 to 5 minutes of discussion with their PCP, although this finding was not significant (AOR, 1.89 [95% CI, 0.93-3.84]; P = .08, P = .05 for interaction). Conclusions and Relevance: In this secondary analysis of a cluster randomized clinical trial, approximately half of older patients received their preferred approach to CRC screening. Physician training in SDM did not result in higher concordance rates overall but may have benefitted some subgroups. Future work to refine and evaluate clinical decision support (in the form of an electronic advisory or reminder) as well as focused SDM skills training for PCPs may promote high-quality, preference-concordant decisions about CRC testing for older adults. Trial Registration: ClinicalTrials.gov Identifier: NCT03959696.
Assuntos
Neoplasias Colorretais , Tomada de Decisão Compartilhada , Detecção Precoce de Câncer , Humanos , Neoplasias Colorretais/diagnóstico , Idoso , Feminino , Masculino , Detecção Precoce de Câncer/métodos , Detecção Precoce de Câncer/estatística & dados numéricos , Idoso de 80 Anos ou mais , Sistemas de Alerta , Massachusetts , Atenção Primária à Saúde , Médicos de Atenção Primária/educação , Médicos de Atenção Primária/estatística & dados numéricos , MaineRESUMO
OBJECTIVE: To integrate patient decision aid (DA) delivery to promote shared decision-making and provide more patient-centred care within an orthopaedic surgery department for treatment of hip and knee osteoarthritis, lumbar herniated disc and lumbar spinal stenosis. METHODS: Different strategies were used across three distinct phases to promote DA delivery. First, we used a quality improvement bonus to generate awareness and interest in the DAs among specialists. Second, we adapted the electronic referral management system to enable DA orders at referral to a specialist. Third, we engaged clinic staff and specialists to design workflows that promoted DA delivery. We tracked the number of patients who received a DA, who ordered the DA, and collected usage data from a subset of patients. Our target was to reach 60% of patients with DAs. RESULTS: In phase 1, 28% (43/155) of spine patients and 37% (114/308) of hip/knee patients received a DA. In phase 2, 54% (64/118) of spine referrals and 58% (189/324) of hip/knee referrals included a request to send a patient a DA. In phase 3, 56% (90/162) of spine patients and 69% (213/307) of hip/knee patients received a DA, significantly more than in phase 1 (P<0.0001). In phase 3, both more DAs were ordered by clinic staff compared with specialists (56% phase 3 vs 34% phase 1, P<0.001) and sent before the visit (74% phase 3 vs 17% phase 1, P<0.001). Patients were more likely to report reviewing the DA when delivered before the visit (63% before vs 50% after, P=0.005). CONCLUSION: DA implementation into clinic workflow is possible and facilitated by engagement of the entire care team and the support of health information technology.