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1.
Contemp Clin Trials Commun ; 33: 101149, 2023 Jun.
Article in English | MEDLINE | ID: mdl-37397431

ABSTRACT

Background: "Storytelling" interventions influence knowledge, attitudes and behavior to promote chronic disease management. We aimed to describe the development of a video "storytelling" intervention to increase gout knowledge and promote adherence to medications and follow-up care after an acute gout flare visit in the emergency department. Methods: We developed a direct-to-patient storytelling intervention to mitigate modifiable barriers to gout care and promote outpatient follow-up and medication adherence. We invited adult patients with gout as storytellers. We utilized a modified Delphi process involving gout experts to identify key themes to guide development of an intervention. Using a conceptual model, we selected stories to ensure delivery of evidence-based concepts and to maintain authenticity. Results: Our video-based storytelling intervention consisted of segments addressing modifiable barriers to gout care. Four diverse gout patients were recruited as storytellers and interviewed with questions that covered gout diagnosis and care. Eleven international gout experts from diverse geographic locations generated and ranked items they considered important messages to promote outpatient gout care follow-up and treatment adherence. Filmed videos were truncated into segments and coded thematically. Distinct segments that captured desired messages were combined to form a cohesive narrative story based on gout patient experiences that conveyed evidence-based strategies to manage gout. Conclusions: Using the Health Belief Model, we developed a culturally appropriate narrative intervention containing "storytelling" that can be tested as an approach to improve gout outcomes. The methods we describe may be generalizable to other chronic conditions requiring outpatient follow-up and medication adherence to improve outcomes.

2.
Arthritis Care Res (Hoboken) ; 75(8): 1821-1829, 2023 08.
Article in English | MEDLINE | ID: mdl-36408730

ABSTRACT

OBJECTIVE: Patients with acute gout are frequently treated in the emergency department (ED) and represent a typically underresourced and understudied population. A key limitation for gout research in the ED is the timely ability to identify acute gout patients. Our goal was to refine a multicriteria, electronic medical record alert for gout flares and to determine its diagnostic characteristics in the ED. METHODS: The gout flare alert used electronic medical record data from ED nursing notes and was triggered by the term 'gout' preceding past medical history in the chief complaint, the term 'gout' and a musculoskeletal problem in the chief complaint, or the term 'gout' in the problem list and a musculoskeletal chief complaint. We validated its diagnostic properties to assess presence/absence of gout through manual medical record review using adjudicated expert consensus as the gold standard. RESULTS: In January 2020, we analyzed 202 patient records from 2 university-based EDs; from these records, 57 patients were identified by our gout flare alert, and 145 were identified by other means as potentially having an acute gout flare. The gout flare alert's positive predictive value was 47% (95% confidence interval [95% CI] 34-60%), negative predictive value was 94% (95% CI 90-98%), sensitivity was 75% (95% CI 61-89%), and specificity was 82% (95% CI 76-88%). The diagnostic properties were similar at both institutions. CONCLUSION: Our multicomponent gout flare alert had reasonable sensitivity and specificity, albeit a modest positive predictive value. An electronic gout flare alert may help enable the conduct of gout research in the ED setting.


Subject(s)
Gout , Humans , Gout/diagnosis , Gout/epidemiology , Electronic Health Records , Symptom Flare Up , Sensitivity and Specificity , Emergency Service, Hospital
3.
Am J Med Sci ; 364(5): 538-546, 2022 11.
Article in English | MEDLINE | ID: mdl-35793732

ABSTRACT

BACKGROUND: Little is known about satisfaction with different modes of telemedicine delivery. The objective of this study was to determine whether patient satisfaction with phone-only was noninferior to video visits. METHODS: We conducted a parallel group, randomized (1:1), single-blind, noninferiority trial in multispecialty clinics at a tertiary academic medical center. Adults age ≥ 60 years or with Medicare/Medicaid insurance were eligible. Primary outcome was visit satisfaction rate (9 or 10 on a 0-10 satisfaction scale). Noninferiority was determined if satisfaction with phone-only (intervention) versus video visits (comparator) was no worse by a -15% prespecified noninferiority margin. We performed modified intent-to-treat (mITT) and per protocol analyses, after adjusting for age and insurance. RESULTS: 200 participants, 43% Black, 68% women completed surveys. Visit satisfaction rates were high. In the mITT analysis, phone-only visits were noninferior by an adjusted difference of 3.2% (95% CI, -7.6% to 14%). In the per protocol analysis, phone-only were noninferior by an adjusted difference of -4.1% (95% CI, -14.8% to 6.6%). The proportion of participants who indicated they preferred the same type of telemedicine visit as their next clinic visit were similar (30.2% vs 27.9% video vs phone-only, p = 0.78) and a majority said their medical concerns were addressed and would recommend a telemedicine visit. CONCLUSIONS: Among a group of diverse, established older or underserved patients, the satisfaction rate for phone-only was noninferior to video visits. These findings could impact practice and policies governing telemedicine.


Subject(s)
COVID-19 , Telemedicine , Humans , Aged , United States , Adult , Female , Middle Aged , Male , COVID-19/epidemiology , Single-Blind Method , Personal Satisfaction , Medicare , Telemedicine/methods
4.
Expert Opin Drug Saf ; 19(9): 1143-1154, 2020 Sep.
Article in English | MEDLINE | ID: mdl-32731769

ABSTRACT

INTRODUCTION: Uric acid is the final byproduct of purine metabolism. The loss of the enzyme that hydrolyzes uric acid to allantoin was lost, leading to a decrease in uric acid excretion and its further accumulation. The buildup of uric acid leads to damage in different organ systems, including the cardiovascular system. With the increasing burden of cardiovascular disease worldwide, a growing body of evidence has addressed the relationship between urate, cardiovascular outcomes, and gout medication cardiovascular safety. Areas covered: We discuss the most common gout therapies used for the reduction of serum urate and management of gout flares in different observational and clinical trials and their effects on different aspects of cardiovascular disease. We selected the most representative clinical studies that evaluated cardiovascular outcomes with each gout therapy as well as recommendation given by the most representative guidelines from Rheumatology societies for the management of gout. EXPERT OPINION: The treatment of gout reduces joint damage and it can also lessen CV morbidity. Allopurinol shows CV safety profile when compared to other ULTs. Evidence supporting CV safety with the use of colchicine and IL-1 agents is promising and research needs to be conducted to further assess this outcome.


Subject(s)
Cardiovascular Diseases/prevention & control , Gout Suppressants/administration & dosage , Gout/drug therapy , Allopurinol/administration & dosage , Allopurinol/adverse effects , Animals , Cardiovascular Diseases/etiology , Colchicine/administration & dosage , Colchicine/adverse effects , Gout/complications , Gout Suppressants/adverse effects , Heart Disease Risk Factors , Humans , Uric Acid/metabolism
5.
AMIA Annu Symp Proc ; 2020: 973-982, 2020.
Article in English | MEDLINE | ID: mdl-33936473

ABSTRACT

Many patients with gout flares treated in the Emergency Department (ED) often do not receive optimal continuity of care after an ED visit. Thus, developing methods to identify patients with gout flares in the ED and referring them to appropriate outpatient gout care is required. While Natural Language Processing (NLP) has been used to detect gout flares retrospectively, it is much more challenging to identify patients prospectively during an ED visit where documentation is usually minimal. We annotate a corpus of ED triage nurse chief complaint notes for the presence of gout flares and implement a simple algorithm for gout flare ED alerts. We show that the chief complaint alone has strong predictive power for gout flares. We make available a de-identified version of this corpus annotated for gout mentions, which is to our knowledge the first free text chief complaint clinical corpus available.


Subject(s)
Emergency Service, Hospital , Gout/diagnosis , Natural Language Processing , Symptom Flare Up , Algorithms , Humans , Retrospective Studies , Text Messaging , Triage
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