762 Bedtime Procrastination but Not Total Sleep Time Mediates the Association Between Anxiety and Sleep Problems

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A297-A297
Author(s):  
Rebecca Campbell ◽  
Roselee Ledesma ◽  
Linda Guzman ◽  
Ana Bridges
Keyword(s):  
Primary Care ◽  
Sleep Problems ◽  
Psychiatric Symptoms ◽  
Total Sleep Time ◽  
Primary Care Clinic ◽  
Sleep Time ◽  
Primary Study ◽  
Care Clinic ◽  
Direct Association ◽  
Bedtime Procrastination

Abstract Introduction There is a high rate of sleep disorders and anxiety in primary care settings and patients are most likely to report such issues to their primary care provider. This study assessed whether total sleep time and bedtime procrastination mediated the association between anxiety and sleep problems when covarying for age and attitudes about sleep. Methods 308 adult primary care patients seen at either a university integrated primary care clinic (n = 147; 47.7%) or federally qualified health center (n = 161; 52.3%) from August 2019 to March 2020 completed intake paperwork including questions assessing psychiatric symptoms and sleep. Results A structural equation model was used. To test for statistical mediation, we performed 500 bootstraps and examined bias-corrected estimates. The model evidenced good fit, X2 (16) = 22.53, p = .127, CFI = .98, TLI = .95, SRMR = .03, RMSEA = .04 [90% CI: .00, .07]. All manifest variables loaded significantly onto their latent factors (standardized loadings > .40, p values < .05). The model explained 14.7% of the variance in total sleep time (TST), 14.8% in sleep procrastination, and 54.0% in sleep problems. Anxiety was negatively associated with TST (β = -.36, p < .001) and positively associated with bedtime procrastination (β = .35, p < .001) and greater sleep problems (β = .63, p = .006). The association between anxiety and sleep problems was not statistically mediated by TST. There was a significant indirect effect of anxiety on sleep problems through bedtime procrastination. The total effect of anxiety on sleep problems was significant (β = .70, p = .003). We found a significant direct association between age and TST, and age and bedtime procrastination. However, there was no significant direct association between age and sleep problems (β = .00, p = .984). Sleep attitudes were unrelated to any of the primary study variables. None of the exogenous variable covariances were significant. The covariance between TST and bedtime procrastination was significant. Conclusion Sleep problems are pervasive and complex. This study highlights factors related to sleep problems and support anxiety and pre-bedtime behaviors as treatment targets. Support (if any) D40HP29826 (PI: Ana J. Bridges).

Vision Screening Among Primary Care Clinic Patients

PEDIATRICS ◽  
2016 ◽  
Vol 137 (Supplement 3) ◽  
pp. 93A-93A
Author(s):  
Lwbba Chait ◽  
Angeliki Makri ◽  
Rawan Nahas ◽  
Gwen Raphan
Keyword(s):  
Primary Care ◽  
Primary Care Clinic ◽  
Vision Screening ◽  
Care Clinic

scholarly journals Elderly Patients in Primary Care are Still at Risks of Receiving Potentially Inappropriate Medications

2021 ◽  
Vol 12 ◽  
pp. 215013272110350
Author(s):  
Pasitpon Vatcharavongvan ◽  
Viwat Puttawanchai
Keyword(s):  
Primary Care ◽  
Primary Care Clinic ◽  
Clinical Decision ◽  
Cross Sectional Study ◽  
Study Data ◽  
Patient Specific ◽  
Potentially Inappropriate Medications ◽  
Cross Sectional ◽  
Care Clinic ◽  
Inappropriate Medications

Background Most older adults with comorbidities in primary care clinics use multiple medications and are at risk of potentially inappropriate medications (PIMs) prescription. Objective This study examined the prevalence of polypharmacy and PIMs using Thai criteria for PIMs. Methods This study was a retrospective cross-sectional study. Data were collected from electronic medical records in a primary care clinic in 2018. Samples were patients aged ≥65 years old with at least 1 prescription. Variables included age, gender, comorbidities, and medications. The list of risk drugs for Thai elderly version 2 was the criteria for PIMs. The prevalence of polypharmacy and PIMs were calculated, and multiple logistic regression was conducted to examine associations between variables and PIMs. Results Of 2806 patients, 27.5% and 43.7% used ≥5 medications and PIMs, respectively. Of 10 290 prescriptions, 47% had at least 1 PIM. The top 3 PIMs were anticholinergics, proton-pump inhibitors, and nonsteroidal anti-inflammatory drugs (NSAIDs). Polypharmacy and dyspepsia were associated with PIM prescriptions (adjusted odds ratio 2.48 [95% confident interval or 95% CI 2.07-2.96] and 3.88 [95% CI 2.65-5.68], respectively). Conclusion Prescriptions with PIMs were high in the primary care clinic. Describing unnecessary medications is crucial to prevent negative health outcomes from PIMs. Computer-based clinical decision support, pharmacy-led interventions, and patient-specific drug recommendations are promising interventions to reduce PIMs in a primary care setting.

scholarly journals 140. Symptoms and Situations Predispose Patients to Use Antibiotics Without Medical Advice

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S200-S200
Author(s):  
Michael Hansen ◽  
Barbara Trautner ◽  
Roger Zoorob ◽  
George Germanos ◽  
Osvaldo Alquicira ◽  
...  
Keyword(s):  
Primary Care ◽  
Emergency Department ◽  
Emergency Departments ◽  
Primary Care Clinic ◽  
Antibiotic Use ◽  
Safety Net ◽  
Care Clinic ◽  
Primary Care Clinics ◽  
Primary Care Patients ◽  
Emergency Department Patients

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

scholarly journals Cross-Cultural Comparisons of Subjective Cognitive Complaints in a Diverse Primary Care Population

2021 ◽  
pp. 1-11
Author(s):  
Danelly Rodríguez ◽  
Emmeline Ayers ◽  
Erica F. Weiss ◽  
Joe Verghese
Keyword(s):  
Primary Care ◽  
Depressive Symptoms ◽  
Cognitive Function ◽  
African Americans ◽  
Primary Care Clinic ◽  
Depression Scale ◽  
Cognitive Complaints ◽  
Care Clinic ◽  
Primary Care Population ◽  
Subjective Cognitive Complaints

Background: Very few studies have explored the utility of subjective cognitive complaints (SCCs) in primary care settings. Objective: We aim to investigate associations between SCCs (item-level), objective cognitive function (across domains and global), and mood in a diverse primary care population, including subjects with mild cognitive impairment. Methods: We studied 199 (75.9%females; 57.8%Hispanics; 42.2%African Americans) older adults (mean age 72.5 years) with memory concerns at a primary care clinic. A five-item SCC questionnaire, and objective cognitive assessments, including the Montreal Cognitive Assessment (MoCA) and the Geriatric Depression Scale, were administered. Results: Logistic regression analyses showed associations between SCC score and depressive symptoms. A memory-specific (“memory worsening”) SCC predicted scores on the MoCA (p = 0.005) in Hispanics. Conclusion: SCCs are strongly linked to depressive symptoms in African Americans and Hispanics in a primary care setting; a specific type of SCC is related to global cognitive function in Hispanics.

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