Jewell H Halanych
Biographic Data
| ID | 5121262 |
|---|---|
| NAME | Jewell H Halanych |
| GIVEN NAMES | Jewell H |
| FAMILY NAME | Halanych |
| SIGNATURE | HALANYCH J H |
| AFFILIATIONS | University of Alabama at Birmingham |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2015 |
| H-INDEX | 1 |
We’ll Get to You When We Get to You”
Objectives. We qualitatively assessed patients’ perceptions of discrimination and patient satisfaction in the health care setting specific to interactions with nonphysician health care staff. Methods. We conducted 12 focus-group interviews with African American and European American participants, stratified by race and gender, from June to November 2008. We used a topic guide to facilitate discussion and identify factors contributing to perceived…
Sexual Health Knowledge of Male and Female Latino Immigrants
Heavy Drinking Is Associated with Poor Blood Pressure Control in the REasons for Geographic and Racial Differences in Stroke (REGARDS) Study
Alcohol intake has been shown to have a J-shaped association with blood pressure (BP). However, this association has not been examined in mixed race populations or in people with diabetes where tighter blood pressure control is recommended. Participants in the REGARDS study who were 45 years or older (n = 30,239) were included. Medical history (including self-reported alcohol intake) was collected by telephone while blood collection and clinical …
Racial/Ethnic Differences in Diabetes Care for Older Veterans
BACKGROUND: Veterans Health Administration (VHA) databases are used extensively to study racial/ethnic disparities; however, these databases may not capture all care received by VHA patients. OBJECTIVES: We examined the extent to which accounting for non-VHA care changed conclusions about racial/ethnic disparities for VHA patients with diabetes. METHODS: Using a cross-sectional observational study, we analyzed a national sample of noninstitutiona…
We’ll Get to You When We Get to You”
Objectives. We qualitatively assessed patients’ perceptions of discrimination and patient satisfaction in the health care setting specific to interactions with nonphysician health care staff. Methods. We conducted 12 focus-group interviews with African American and European American participants, stratified by race and gender, from June to November 2008. We used a topic guide to facilitate discussion and identify factors contributing to perceived…
Racial/Ethnic Differences in Diabetes Care for Older Veterans
BACKGROUND: Veterans Health Administration (VHA) databases are used extensively to study racial/ethnic disparities; however, these databases may not capture all care received by VHA patients. OBJECTIVES: We examined the extent to which accounting for non-VHA care changed conclusions about racial/ethnic disparities for VHA patients with diabetes. METHODS: Using a cross-sectional observational study, we analyzed a national sample of noninstitutiona…
Heavy Drinking Is Associated with Poor Blood Pressure Control in the REasons for Geographic and Racial Differences in Stroke (REGARDS) Study
Alcohol intake has been shown to have a J-shaped association with blood pressure (BP). However, this association has not been examined in mixed race populations or in people with diabetes where tighter blood pressure control is recommended. Participants in the REGARDS study who were 45 years or older (n = 30,239) were included. Medical history (including self-reported alcohol intake) was collected by telephone while blood collection and clinical …
Sexual Health Knowledge of Male and Female Latino Immigrants
We’ll Get to You When We Get to You”
Objectives. We qualitatively assessed patients’ perceptions of discrimination and patient satisfaction in the health care setting specific to interactions with nonphysician health care staff. Methods. We conducted 12 focus-group interviews with African American and European American participants, stratified by race and gender, from June to November 2008. We used a topic guide to facilitate discussion and identify factors contributing to perceived…
Medicine (4 works) · Demography (2 works) · Diabetes mellitus (2 works) · Family medicine (2 works) · Internal Medicine (2 works) · Logistic regression (2 works) · Nursing (2 works) · Odds ratio (2 works) · Political science (2 works) · Psychology (2 works)