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1.
Qual Prim Care ; 18(6): 363-72, 2010.
Article in English | MEDLINE | ID: mdl-21294977

ABSTRACT

BACKGROUND: The role of community health workers (CHWs) has expanded from outreach and education to working within a clinical team in a primary care setting. AIM: To improve self-management among patients with type 2 diabetes incorporating CHWs as members of a clinical team. METHODS: A cohort of 114 patients with type 2 diabetes enrolled in 2007 participated in a teambased self-management intervention with followup in 2008. The study assessed whether significant changes occurred in clinical, patient satisfaction and activation measures after the intervention compared with baseline. The programme was located at St Luke's Health Care Center in San Francisco, California, in an ethnically diverse neighbourhood serving predominantly low-income Latino patients. Clinical outcomes measured included glycosylated haemoglobin (HbA1c), low-density lipoprotein (LDL), blood pressure and total cholesterol. A Patient Activation Measure (PAM) assessed self-management. Both provider and patient experiences with the programme were also assessed using a patient telephone satisfaction survey and provider focus group. RESULTS: The majority of patients were Latino Spanish speaking women on public insurance. Thirty-one patients participated in a telephone satisfaction survey. Six providers participated in a focus group to assess satisfaction with care. HealthFirst had a positive impact, improving HbA1c among high-risk patients with type 2 diabetes (HbA1c≥ 9.0) and maintaining glycaemic control among patients with controlled glycaemic level at baseline (HbA1c<7.0). In addition, LDL, total cholesterol and self-management outcomes significantly improved. Ninety-seven percent of patients were satisfied with the CHWs' support. Overall, providers' comfort level in referring patients to CHWs was very high. CONCLUSIONS: Physician-CHW partnership had a positive impact on patients' self-management skills and clinical outcomes. Patients and physicians also had higher satisfaction with overall care. With appropriate training, CHWs can collaborate as team members with primary care providers and with non-medical providers to improve the quality of care.


Subject(s)
Community Health Workers , Diabetes Mellitus, Type 2/therapy , Poverty Areas , Primary Health Care/organization & administration , Quality Improvement , Self Care , Adult , Female , Humans , Male , Patient Satisfaction , Pilot Projects , San Francisco
2.
Travel Med Infect Dis ; 7(4): 181-91, 2009 Jul.
Article in English | MEDLINE | ID: mdl-19717097

ABSTRACT

BACKGROUND: A stochastic discrete event simulation model was developed to assess the effectiveness of passenger screening for Pandemic Influenza (PI) at U.S. airport foreign entry. METHODS: International passengers arriving at 18 U.S. airports from Asia, Europe, South America, and Canada were assigned to one of three states: not infected, infected with PI, infected with other respiratory illness. Passengers passed through layered screening then exited the model. 80% screening effectiveness was assumed for symptomatic passengers; 6% asymptomatic passengers. RESULTS: In the first 100 days of a global pandemic, U.S. airport screening would evaluate over 17 M passengers with 800 K secondary screenings. 11,570 PI infected passengers (majority asymptomatic) would enter the U.S. undetected from all 18 airports. Foreign airport departure screening significantly decreased the false negative (infected/undetected) passengers. U.S. attack rates: no screening (26.9%-30.9%); screening (26.4%-30.6%); however airport screening results in 800 K-1.8 M less U.S. PI cases; 16 K-35 K less deaths (2% fatality rate). Antiviral medications for travel contact prophylaxis (10 contacts/PI passenger) were high - 8.8M. False positives from all 18 airports: 100-200/day. CONCLUSIONS: Foreign shore exit screening greatly reduces numbers of PI infected passengers. U.S. airport screening identifies 50% infected individuals; efficacy is limited by the asymptomatic PI infected. Screening will not significantly delay arrival of PI via international air transport, but will reduce the rate of new US cases and subsequent deaths.


Subject(s)
Aircraft , Disease Outbreaks/prevention & control , Influenza, Human/prevention & control , Models, Statistical , Travel , Computer Simulation , Europe , Humans , International Cooperation , Mass Screening/methods , Population Surveillance/methods , Stochastic Processes , United States
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