scholarly journals Improving Quality of Care in Rheumatoid Arthritis Through Mobile Patient-Reported Outcome Measurement: Focus Group Study

10.2196/15158 ◽  
2020 ◽  
Vol 4 (3) ◽  
pp. e15158
Author(s):  
Sonali Desai ◽  
Emma Stevens ◽  
Srinivas Emani ◽  
Peter Meyers ◽  
Maura Iversen ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Decision Making ◽  
Shared Decision Making ◽  
Outcome Measurement ◽  
Advisory Council ◽  
Treat To Target ◽  
Shared Decision ◽  
Office Visits ◽  
Patient Reported ◽  
Informal Feedback

Background Patient-reported outcomes (PROs) for chronic disease management can be integrated into the routine workflow by leveraging mobile technology. Objective The objective of our study was to describe the process of our quality improvement (QI) efforts using tablets for PRO collection in a busy, academic rheumatology practice to support a treat-to-target (TTT) approach for rheumatoid arthritis (RA) management. Methods Our QI team designed a process for routine collection of PROs for RA patients at the Arthritis Center, employing information technology and an electronic medical record (EMR) system. Patients received a tablet at the clinic check-in desk to complete the Routine Assessment of Patient Index Data 3 (RAPID3) survey, a validated RA PRO. RAPID3 scores were uploaded to the EMR in real time and available for use in shared decision making during routine office visits. Weekly data were collected on RAPID3 completion rates and shared with front desk staff and medical assistants to drive improvement. Patients in our patient family advisory council and focus groups provided informal feedback on the process. Results From May 1, 2017, to January 31, 2019, a total of 4233 RAPID3 surveys were completed by 1691 patients. The mean age of patients was 63 (SD 14) years; 84.00% (1420/1691) of the patients were female, and 83.00% (1403/1691) of the patients were white. The rates of RAPID3 completion increased from 14.3% (58/405) in May 2017 to 68.00% (254/376) in September 2017 and were sustained over time through January 2019. Informal feedback from patients was positive and negative, relating to the usability of the tablet and the way rheumatologists used and explained the RAPID3 data in shared decision making during the office visit. Conclusions We designed a sustainable and reliable process for collecting PROs from patients with RA in the waiting room and integrated these data through the EMR during office visits.

scholarly journals Improving Quality of Care in Rheumatoid Arthritis Through Mobile Patient-Reported Outcome Measurement: Focus Group Study (Preprint)

2019 ◽  
Author(s):  
Sonali Desai ◽  
Emma Stevens ◽  
Srinivas Emani ◽  
Peter Meyers ◽  
Maura Iversen ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Decision Making ◽  
Shared Decision Making ◽  
Outcome Measurement ◽  
Advisory Council ◽  
Treat To Target ◽  
Shared Decision ◽  
Office Visits ◽  
Patient Reported ◽  
Informal Feedback

BACKGROUND Patient-reported outcomes (PROs) for chronic disease management can be integrated into the routine workflow by leveraging mobile technology. OBJECTIVE The objective of our study was to describe the process of our quality improvement (QI) efforts using tablets for PRO collection in a busy, academic rheumatology practice to support a treat-to-target (TTT) approach for rheumatoid arthritis (RA) management. METHODS Our QI team designed a process for routine collection of PROs for RA patients at the Arthritis Center, employing information technology and an electronic medical record (EMR) system. Patients received a tablet at the clinic check-in desk to complete the Routine Assessment of Patient Index Data 3 (RAPID3) survey, a validated RA PRO. RAPID3 scores were uploaded to the EMR in real time and available for use in shared decision making during routine office visits. Weekly data were collected on RAPID3 completion rates and shared with front desk staff and medical assistants to drive improvement. Patients in our patient family advisory council and focus groups provided informal feedback on the process. RESULTS From May 1, 2017, to January 31, 2019, a total of 4233 RAPID3 surveys were completed by 1691 patients. The mean age of patients was 63 (SD 14) years; 84.00% (1420/1691) of the patients were female, and 83.00% (1403/1691) of the patients were white. The rates of RAPID3 completion increased from 14.3% (58/405) in May 2017 to 68.00% (254/376) in September 2017 and were sustained over time through January 2019. Informal feedback from patients was positive and negative, relating to the usability of the tablet and the way rheumatologists used and explained the RAPID3 data in shared decision making during the office visit. CONCLUSIONS We designed a sustainable and reliable process for collecting PROs from patients with RA in the waiting room and integrated these data through the EMR during office visits.

scholarly journals Preference phenotypes to facilitate shared decision-making in rheumatoid arthritis

2017 ◽  
Vol 77 (5) ◽  
pp. 678-683 ◽  
Author(s):  
Liana Fraenkel ◽  
W Benjamin Nowell ◽  
George Michel ◽  
Carole Wiedmeyer
Keyword(s):  
Rheumatoid Arthritis ◽  
Decision Making ◽  
Side Effects ◽  
Shared Decision Making ◽  
Latent Class ◽  
Information Criteria ◽  
Janus Kinase ◽  
Treat To Target ◽  
Treatment Preferences ◽  
Shared Decision

ObjectiveImplementing treat-to-target (TTT) strategies requires that patients with rheumatoid arthritis (RA) and their rheumatologists decide on how best to escalate care when indicated. The objective of this study was to develop preference phenotypes to facilitate shared decision-making at the point of care for patients failing methotrexate monotherapy.MethodsWe developed a conjoint analysis survey to measure the preferences of patient with RA for triple therapy, biologics and Janus kinase (JAK) inhibitors. The survey included seven attributes: administration, onset, bothersome side effects, serious infection, very rare side effects, amount of information and cost. Each choice set (n=12) included three hypothetical profiles. Preference phenotypes were identified by applying latent class analysis to the conjoint data.Results1273 participants completed the survey. A five-group solution was chosen based on progressively lower values of the Akaike and Bayesian information criteria. Members of the largest group (group 3: 38.4%) were most strongly impacted by the cost of the medication. The next largest group (group 1: 25.8%) was most strongly influenced by the risk of bothersome side effects. Members of group 2 (11.2%) were also risk averse, but were most concerned with the risk of very rare side effects. Group 4 (6.6%) strongly preferred oral over parenteral medications. Members of group 5 (18.0%) were most strongly and equally influenced by onset of action and the risk of serious infections.ConclusionsTreatment preferences of patients with RA can be measured and represented by distinct phenotypes. Our results underscore the variability in patients’ values and the importance of using a shared decision-making approach to implement TTT.

scholarly journals Patient and physician perspectives guiding intra-articular treatment choice in knee osteoarthritis: stakeholders are aligned on treatment priorities but have different assessments of treatment effect

2021 ◽  
pp. jisakos-2020-000578
Author(s):  
Vandana Menon ◽  
Caroline Huber ◽  
Alexandria Portelli ◽  
Marissa Baker-Wagner ◽  
Scott Kelley ◽  
...  
Keyword(s):  
Decision Making ◽  
Knee Osteoarthritis ◽  
Shared Decision Making ◽  
Symptom Relief ◽  
Activity Level ◽  
Shared Decision ◽  
Treatment Needs ◽  
Knee Oa ◽  
Patient Reported ◽  
Selection Factors

ObjectivesKnee osteoarthritis (OA) is a leading cause of health-related disability. In the absence of curative non-operative therapies, treatment goals are limited to symptom relief. Data are limited on how patients and physicians prioritise available treatment options. We assessed patients’ preferences for and physicians’ attitudes towards intra-articular treatments including corticosteroids (IACS), an extended-release corticosteroid (TA-ER) and hyaluronic acids (IAHA).MethodsWe conducted a prospective, IRB-exempt, double-blind survey of patients with and providers who treat knee OA. Respondents were required to have received or prescribed TA-ER in a non-trial setting. We evaluated patients’ OA history, impact of knee OA and treatment preferences, and physicians’ decision-making and prescribing experiences.ResultsOf the 97 patient participants, mean age was 56 years, 70.0% were women, 75.0% had bilateral knee OA and 46.4% were diagnosed over 5 years ago. Of the 50 physician participants, 34.0% were rheumatologists, 42.0% were orthopaedic surgeons and 60.0%, on average, treat 50+ patients with knee OA per month. Treatment selection factors considered ‘very important’ to patients and physicians included disease severity (88.7%, 82.0%), impact on quality of life (88.7%, 72.0%), disease extent (84.5%, 54.0%) and activity level (80.4%, 64.0%). A majority (93.8%) of patients indicated moderate to severe difficulty with their knees. Fewer patients (76.3%) reported shared decision making compared with physicians (92.0%). Half (50.5%) of the patients reported that they experienced months of pain relief with TA-ER, 27.7% with IACS and 18.8% with IAHA. Physician assessments were consistent but estimated a greater duration of treatment effects than that reported by patients across all therapies.ConclusionWhile knee OA has a tremendous impact on patients, there are significant unmet treatment needs. The increasing use of patient-reported outcomes will allow patients and physicians to track pain and functional status over time and across therapies, improving shared decision-making.

It may help you to know. . .": The early phase qualitative development of a rheumatoid arthritis goal elicitation tool

2021 ◽  
pp. jrheum.201615
Author(s):  
Julie Kahler ◽  
Ginnifer Mastarone ◽  
Rachel Matsumoto ◽  
Danielle ZuZero ◽  
Jacob Dougherty ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Decision Making ◽  
Shared Decision Making ◽  
Treatment Guidelines ◽  
Training Session ◽  
Clinic Visit ◽  
Shared Decision ◽  
Communication Tool ◽  
Group Setting ◽  
Patient Goals

Objective Treatment guidelines for rheumatoid arthritis (RA) include a patient-centered approach and shared decision making which includes a discussion of patient goals. We describe the iterative early development of a structured goal elicitation tool to facilitate goal communication for persons with RA and their clinicians. Methods Tool development occurred in three phases: 1) clinician feedback on the initial prototype during a communication training session; 2) semi-structured interviews with RA patients; and 3) community stakeholder feedback on elements of the goal elicitation tool in a group setting and electronically. Feedback was dynamically incorporated into the tool. Results Clinicians (n=15) and patients (n=10) provided feedback on the tool prototypes. Clinicians preferred a shorter tool de-emphasizing goals outside of their perceived treatment domain or available resources, highlighted the benefits of the tool to facilitate conversation but raised concern regarding current constraints of the clinic visit. Patients endorsed the utility of such a tool to support agenda setting and prepare for a visit. Clinicians, patients, and community stakeholders reported the tool was useful but identified barriers to implementation that the tool could itself resolve. Conclusion A goal elicitation tool for persons with RA and their clinicians was iteratively developed with feedback from multiple stakeholders. The tool can provide a structured way to communicate patient goals within a clinic visit and help overcome reported barriers, such as time constraints. Incorporating a structured communication tool to enhance goal communication and foster shared decision making may lead to improved outcomes and higher quality care in RA.

Co-Design of an Electronic Dashboard to Support Coproduction of Care in Pediatric Rheumatic Disease (Preprint)

2021 ◽  
Author(s):  
Alysha Taxter ◽  
Lisa Johnson ◽  
Doreen Tabussi ◽  
Yukiko Kimura ◽  
Brittany Donaldson ◽  
...  
Keyword(s):  
Decision Making ◽  
Shared Decision Making ◽  
Clinical Data ◽  
The United States ◽  
Shared Decision ◽  
Time Data ◽  
Vertical Orientation ◽  
Patient Reported ◽  
Data Elements ◽  
The Right

BACKGROUND Coproduction of care involves patients and families partnering with their clinicians and care teams, with the premise that each brings their own perspective, knowledge, and expertise, as well as their own values, goals, and preferences to the partnership. Dashboards can display meaningful patient and clinical data to assess how a patient is doing and inform shared decision making. Increasing communication between patients and care teams is particularly important for children with chronic conditions, such as juvenile idiopathic arthritis (JIA), which is the most common, chronic rheumatic condition of childhood, and is associated with increased pain, decreased function, and decreased quality of life. OBJECTIVE We aimed to design a dashboard prototype for use in coproducing care for JIA patients. We evaluated the context use and needs of end users, obtained consensus on the necessary dashboard data elements, and constructed display prototypes to inform meaningful discussions for coproduction. METHODS A human-centered design approach involving parents, patients, clinicians, and care team members was used to develop a dashboard to support coproduction of care in four diverse ambulatory pediatric rheumatology clinics across the United States. We engaged a multidisciplinary team (n=18) of patients/parents, clinicians, nurses, and staff during an in-person kick-off meeting, followed by bi-weekly meetings. We also leveraged advisory panels. Teams mapped workflows and patient journeys, created personas, and developed dashboard sketches. Final necessary dashboard components were determined using Delphi consensus voting. Low-tech dashboard testing was completed during clinic visits, and visual display prototypes were iterated using PDSA methodology. Patients and providers were surveyed about their experiences. RESULTS Teams achieved consensus on what data matters most at point-of-care to support JIA patients, families, and clinicians partnering together to make the best possible decisions for better health. Notable themes included: the right data, in the right place, at the right time; data in once for multiple purposes; patient and family self-management components; and opportunity for education and increased transparency. A final set of 11 dashboard data elements were identified which include patient-reported outcomes, clinical data, and medications. Important design considerations include incorporation of real-time data, clearly labeled graphs, and vertical orientation to facilitate review and discussion. Prototype paper testing with 36 patients/families yielded positive feedback about the dashboard’s usefulness during clinic discussions, helped to talk about what mattered most, and informed healthcare decision making. CONCLUSIONS Our study developed a dashboard prototype that displays patient-reported and clinical data over time, along with medications, that can be used during a clinic visit to support meaningful conversations and shared decision making between JIA patients/families and their clinicians and care teams. CLINICALTRIAL N/A

Abstract 189: Income Level Disparities in Consumer Reported Domains of Healthcare Experience Among Those With Established Atherosclerotic Cardiovascular Disease in United States: Insights From Medical Expenditure Panel Survey 2010-2013

2017 ◽  
Vol 10 (suppl_3) ◽  
Author(s):  
Victor Okunrintemi ◽  
Erica Spatz ◽  
Joseph Salami ◽  
Paul D Capua ◽  
Haider Warraich ◽  
...  
Keyword(s):  
Decision Making ◽  
Shared Decision Making ◽  
Medical Expenditure Panel Survey ◽  
Medical Expenditure ◽  
Atherosclerotic Cardiovascular Disease ◽  
Shared Decision ◽  
Panel Survey ◽  
Provider Satisfaction ◽  
Healthcare Experience ◽  
Patient Reported

Background: While it is well established that significant health outcome disparities exist across patients of varying socio-economic status (SES) with established atherosclerotic cardiovascular disease (ASCVD), disparities in patients’ healthcare experiences are not well investigated. We explore income level differences in four central tenets of patient-reported healthcare experience (access to care, provider communication, shared decision making and provider satisfaction) as measured by the Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey, in a nationally representative adult US population with established ASCVD. Methods: The study population consisted of 8223 individuals (age ≥ 18 years) representing 21.6 million with established ASCVD (self-reported or ICD-9 diagnosis) reporting a usual source of care in the 2010-2013 pooled Medical Expenditure Panel Survey (MEPS) cohort. We assessed the responses for each item as: a) difficult access to care (always/almost difficult), b) ineffective communication and shared decision making (never/sometimes), and c) poor provider satisfaction (lowest quartile on a scale of 0-10). We examined the relationship between scores in the lowest quartile of each domain composite scores, derived using the weighted average response from each items scores, with patients’ SES, using the high-income group as reference. Results: Lower SES was consistently associated with greater perceived difficulties in access, poor provider-patient communication, less shared decision making, as well as lower provider satisfaction (Table). Participants classified as poor vs. high income were 47% (95% CI 1.17-1.83) more likely to report difficulty accessing care, 39% (95% CI 1.09-1.78) and 26% (95% CI 0.99-1.60) reported a higher likelihood of experiencing poor communication and shared decision making respectively, as well as a 66% (95% CI 1.31-2.11) higher likelihood of reporting lower provider satisfaction. Conclusion: Among patients with established ASCVD, significant SES disparities exist in all domains of patient reported healthcare experience quality of care metrics. Targeted policies focusing on improving communication, engagement and satisfaction are needed to enhance patient healthcare experience among high-risk vulnerable populations.

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