• Keine Ergebnisse gefunden

State-level variations and factors associated with adult vaccination coverage: a multilevel modeling approach

N/A
N/A
Protected

Academic year: 2022

Aktie "State-level variations and factors associated with adult vaccination coverage: a multilevel modeling approach"

Copied!
3
0
0

Wird geladen.... (Jetzt Volltext ansehen)

Volltext

(1)

State-level variations and factors associated with adult vaccination coverage: a multilevel modeling approach

Journal: PharmacoEconomics - Open

Authors: Diana Garbinsky, Shannon Hunter, Elizabeth M. La, Sara Poston, Cosmina Hogea

Correspondence: Sara Poston; GSK, sara.a.poston@gsk.com

Conflicts of interest: EL, SP and CH are employed by the GSK group of

companies and hold shares in the GSK group of companies. DG and SH are employees of RTI Health Solutions, which was contracted by the GSK group of companies to design and implement the present study. The authors declare no other financial and non-financial relationships and activities.

(2)

Online Resource 3

Individual-Level Covariates

For consistency across studies and ease of interpretation, the same set of individual- level covariates was used from our previously published analysis [16], including the following:

Socio-Demographic Characteristics

 Age (at time of BRFSS survey, with BRFSS age categories [18–24, 25–29, 30–34, 35–39, 40–44, 45–49, 50–54, 55–59, 60–64, 65–69, 70–74, 75–79, 80+ years])

 Sex (i.e., male, female)

 Race/ethnicity (using the collapsed response options provided by BRFSS, including non-Hispanic white; non-Hispanic black; Hispanic; non-Hispanic other race only; non- Hispanic multiracial, and unknown/refused)

 Educational attainment (collapsed BRFSS response options to less than high school, high school graduate, some college or technical school, college graduate, and unknown/refused)

 Annual household income (collapsed BRFSS response options to less than $25,000;

$25,000 to less than $50,000; $50,000 to less than $75,000; $75,000 or more, and unknown/refused)

Health Status

 Self-reported health status (i.e., excellent, very good, good, fair, poor, and unknown/refused)

 Presence of at least one chronic health condition derived from multiple BRFSS survey questions asking about whether a doctor has ever told the respondent that they had a heart attack or myocardial infarction; angina or coronary heart disease; stroke; asthma;

(3)

cancer; chronic obstructive pulmonary disease, emphysema, or chronic bronchitis;

arthritis, rheumatoid arthritis, gout, lupus, or fibromyalgia; depressive disorder; kidney disease; or diabetes (i.e., at least one chronic health condition, no chronic health conditions, and unknown/refused)

Potential Barriers to Care

 Inability to pay for care based on whether a respondent reported that they needed to see a doctor in the past 12 months but could not because of cost (i.e., yes, no, and

unknown/refused).

Health Care Utilization

 Designated primary care provider (based on whether a respondent reported having one person that they consider to be their personal doctor or health care provider) (i.e., yes, no, and unknown/refused)

 Length of time since last doctor’s visit for routine checkup (i.e., within the past year, 1–2 years, 2–5 years, 5+ years, never, and unknown/refused)

References to the Online Resource

16. La EM, Trantham L, Kurosky SK, Odom D, Aris E, Hogea C. An analysis of factors associated with influenza, pneumococcal, Tdap, and herpes zoster vaccine uptake in the US adult population and corresponding inter-state variability. Hum Vaccin Immunother.

2018;14(2):430-441.

Referenzen

ÄHNLICHE DOKUMENTE

Todos los trabajos antes expuestos hacen notar la viabilidad actual, generalmente aceptada, de usar el indicador de crédito entre producto como el grado de

Individuals in states with a higher proportion of uninsured population had a lower likelihood of receiving the HZ vac- cine and age-appropriate recommended influenza and Tdap

Model-adjusted estimate generated by taking the average of the predicted probability of vaccination for each individual as if they were all from the same state and period

Under the coordination of the Centers for Disease Control and Prevention (CDC), all US states conduct the Behavioral Risk Factor Surveillance

o The model for compliance with age-appropriate recommended influenza and Tdap vaccinations among individuals aged 18–59 years included all socio- demographic, health status,

To further characterize the association between csDMARDs and HRQoL during follow- up, we compared the baseline characteristics of those patients who were treated with either AM Table

Analyses mainly confirm associations specified by the HAPA at the intrapersonal level: outcome expectancies and self-efficacy, but not risk awareness, were

orthogonal states are “concurrent” as a single event may trigger a transition in each orthogonal region.. Forks