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- All Subjects: Screening
- Creators: Ingram, Sara
- Member of: Programs and Communities
Methods: Primary care providers have an opportunity to screen for sleep disorders as part of the intake process during an office visit. The Functional Outcomes of Sleep Questionnaire (FOSQ), has been proposed as guide to determine if a sleep disorder is affecting quality of life. This descriptive study randomly recruited 20 participants from a community health center. A 10-question survey was given to individuals over the age of 18 who can write and speak English and either have a body mass index (BMI) over 30, hypertension (HTN) or diabetes type II (DMII). Demographic information evaluated included age, gender, HTN, DMII, BMI>30, marital status, sleeping alone, employment type, race, type of insurance, how many times do they wake up at night, the average number of hours slept per night and does the person work night shift.
Results: The study used a qualitative approach with a descriptive methodology; statistical analysis consisted of proportions, means and standard deviation to describe the study population. Participant age ranged from 33 to 72 years (M=50.1, SD= 11.32). Sixty percent were both female and married/living with partner. Despite being married/living with partner, 50% slept alone. A Mann-Whitney U test showed that there was a significant difference in four of the questions in the FOSQ-10 in which functional outcomes were not affected by being sleepy or tired.
Conclusion: The FOSQ-10 may serve a role in identifying patients who might benefit from a sleep study. The inclusion of a sleep disorder screening tool may increase the specificity and sensitivity of the intervention and the ability to yield data that will objectively measure disordered sleep.
Homeless individuals encounter barriers such as lack of health insurance, increased cost of care and unavailability of resources. They have increased risk of comorbid physical disease and poor mental health. Depression is a prevalent mental health disorder in the US linked to increased risk of mortality. Literature suggests depression screening can identify high-risk individuals with using the patient health questionnaire (PHQ-9).
The objective of this project is to determine if screening identifies depression in the homeless and how it impacts healthcare access. Setting is a local organization in Phoenix offering shelter to homeless individuals. An evidence-based project was implemented over two months in 2019 using convenience sampling. Intervention included depression screening using the PHQ-9, referring to primary care and tracking appointment times. IRB approval obtained from Arizona State University, privacy discussed, and consent obtained prior to data collection. Participants were assigned a random number to protect privacy.
A chart audit tool was used to obtain sociodemographics and insurance status. Descriptive statistics used and analyzed using Intellectus. Sample size was (n = 18), age (M = 35) most were White-non-Hispanic, 44% had a high school diploma and 78% were insured. Mean score was 7.72, three were previously diagnosed and not referred. Three were referred with a turnaround appointment time of one, two and seven days respectively. No significant correlation found between age and depression severity. A significant correlation found between previous diagnosis and depression severity. Attention to PHQ-9 varied among providers and not always addressed. Future projects should focus on improving collaboration between this facility and providers, increasing screening and ensuring adequate follow up and treatment.