scholarly journals Improving OSA screening and diagnosis in patients with hypertension in an academic safety net primary care clinic: quality improvement project

2017 ◽  
Vol 6 (2) ◽  
pp. e000105 ◽  
Author(s):  
Smita Y Bakhai ◽  
Mansi Nigam ◽  
Musa Saeed ◽  
Amita Krishnan ◽  
Jessica L Reynolds
2008 ◽  
Vol 6 (3-4) ◽  
pp. 140-140
Author(s):  
G. A. Bloch ◽  
T. J. Ford ◽  
M. Hodgson ◽  
P. McIntyre ◽  
M. Sheehan ◽  
...  

2018 ◽  
Vol 7 (1) ◽  
pp. e000066 ◽  
Author(s):  
Mark D Williams ◽  
Craig N Sawchuk ◽  
Nathan D Shippee ◽  
Kristin J Somers ◽  
Summer L Berg ◽  
...  

Primary care patients frequently present with anxiety with prevalence ratios up to 30%. Brief cognitive–behavioural therapy (CBT) has been shown in meta-analytic studies to have a strong effect size in the treatment of anxiety. However, in surveys of anxious primary care patients, nearly 80% indicated that they had not received CBT. In 2010, a model of CBT (Coordinated Anxiety Learning and Management (CALM)) adapted to primary care for adult anxiety was published based on results of a randomised controlled trial. This project aimed to integrate an adaptation of CALM into one primary care practice, using results from the published research as a benchmark with the secondary intent to spread a successful model to other practices. A quality improvement approach was used to translate the CALM model of CBT for anxiety into one primary care clinic. Plan-Do-Study-Act steps are highlighted as important steps towards our goal of comparing our outcomes with benchmarks from original research. Patients with anxiety as measured by a score of 10 or higher on the Generalized Anxiety Disorder 7 item scale (GAD-7) were offered CBT as delivered by licensed social workers with support by a PhD psychologist. Outcomes were tracked and entered into an electronic registry, which became a critical tool upon which to adapt and improve our delivery of psychotherapy to our patient population. Challenges and adaptations to the model are discussed. Our 6-month response rates on the GAD-7 were 51%, which was comparable with that of the original research (57%). Quality improvement methods were critical in discovering which adaptations were needed before spread. Among these, embedding a process of measurement and data entry and ongoing feedback to patients and therapists using this data are critical step towards sustaining and improving the delivery of CBT in primary care.


2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S200-S200
Author(s):  
Michael Hansen ◽  
Barbara Trautner ◽  
Roger Zoorob ◽  
George Germanos ◽  
Osvaldo Alquicira ◽  
...  

Abstract Background Use of antibiotics without a prescription (non-prescription use) contributes to antimicrobial resistance. Non-prescription use includes obtaining and taking antibiotics without a prescription, taking another person’s antibiotics, or taking one’s own stored antibiotics. We conducted a quantitative survey focusing on the factors that impact patients’ decisions to use non-prescription antibiotics. Methods We surveyed patients visiting public safety net primary care clinics and private emergency departments in a racially/ethnically diverse urban area. Surveys were read aloud to patients in Spanish and English. Survey domains included patients’ perspectives on which syndromes require antibiotic treatment, their perceptions of health care, and their access to antibiotics without a prescription. Results We interviewed 190 patients, 122 from emergency departments (64%), and 68 from primary care clinics (36%). Overall, 44% reported non-prescription antibiotic use within the past 12 months. Non-prescription use was higher among primary care clinic patients (63%) than the emergency department patients (39%, p = 0.002). The majority felt that antibiotics would be needed for bronchitis (78%) while few felt antibiotics would be needed for diarrhea (30%) (Figure 1). The most common situation identified “in which respondents would consider taking antibiotics without contacting a healthcare provider was “got better by taking this antibiotic before” (Figure 2). Primary care patients were more likely to obtain antibiotics without prescription from another country than emergency department patients (27% vs. 13%, P=0.03). Also, primary care patients were more likely to report obstacles to seeking a doctor’s care, such as the inability to take time off from work or transportation difficulties, but these comparisons were not statistically significant. Figure 1. Patients’ agreement that antibiotics would be needed varied by symptom/syndrome. Figure 2. Situations that lead to non-prescription antibiotic use impacted the two clinical populations differently Conclusion Non-prescription antibiotic use is a widespread problem in the two very different healthcare systems we included in this study, although factors underlying this practice differ by patient population. Better understanding of the factors driving non-prescription antibiotic use is essential to designing patient-focused interventions to decrease this unsafe practice. Disclosures All Authors: No reported disclosures


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