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Dive into the research topics where James M. Galliher is active.

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Featured researches published by James M. Galliher.


American Journal of Preventive Medicine | 2009

Familial risk for common diseases in primary care: the Family Healthware Impact Trial.

Suzanne M. O'Neill; Wendy S. Rubinstein; Catharine Wang; Paula W. Yoon; Louise S. Acheson; Nan Rothrock; Erin J. Starzyk; Jennifer L. Beaumont; James M. Galliher; Mack T. Ruffin

CONTEXT Family history is a risk factor for many common chronic diseases, yet it remains underutilized in primary care practice. BACKGROUND Family Healthware is a self-administered, web-based tool that assesses familial risk for CHD; stroke; diabetes; and colorectal, breast, and ovarian cancer, and provides a personalized prevention plan based on familial risk. The Family Healthware Impact Trial evaluated the tool. DESIGN In this cluster RCT, participants completed baseline and 6-month follow-up surveys. The intervention group used Family Healthware directly after the baseline survey. Controls used the tool after completing the follow-up survey. SETTING/PARTICIPANTS Patients aged 35-65 years with no known diagnosis of these six diseases were enrolled from 41 primary care practices. MAIN OUTCOME MEASURES The prevalence of family-history-based risk for coronary heart disease (CHD); stroke; diabetes; and colorectal, breast, and ovarian cancer was determined in a primary care population. RESULTS From 2005 to 2007, 3786 participants enrolled. Data analysis was undertaken from September 2007 to March 2008. Participants had a mean age of 50.6 years and were primarily white (91%) women (70%). Of the 3585 participants who completed the risk assessment tool, 82% had a strong or moderate familial risk for at least one of the diseases: CHD (strong=33%, moderate=26%); stroke (strong=15%, moderate=34%); diabetes (strong=11%, moderate=26%); colorectal cancer (strong=3%, moderate=11%); breast cancer (strong=10%, moderate=12%); and ovarian cancer (strong=4%, moderate=6%). Women had a significantly (p<0.04) higher familial risk than men for all diseases except colorectal and ovarian cancer. Overweight participants were significantly (p<or=0.02) more likely to have a strong family history for CHD, stroke, and diabetes. Older participants were significantly (p<or=0.02) more likely to report a strong family history for CHD and stroke as well as colorectal and breast cancer. CONCLUSIONS This self-administered, online tool delineated a substantial burden of family-history-based risk for these chronic diseases in an adult, primary care population. TRIAL REGISTRATION NCT00164658.


Annals of Family Medicine | 2008

Data Collection Outcomes Comparing Paper Forms With PDA Forms in an Office-Based Patient Survey

James M. Galliher; Thomas V. Stewart; Paramod K. Pathak; James J. Werner; L. Miriam Dickinson; John Hickner

PURPOSE We compared the completeness of data collection using paper forms and using electronic forms loaded on handheld computers in an office-based patient interview survey conducted within the American Academy of Family Physicians National Research Network. METHODS We asked 19 medical assistants and nurses in family practices to administer a survey about pneumococcal immunizations to 60 older adults each, 30 using paper forms and 30 using electronic forms on handheld computers. By random assignment, the interviewers used either the paper or electronic form first. Using multilevel analyses adjusted for patient characteristics and clustering of forms by practice, we analyzed the completeness of the data. RESULTS A total of 1,003 of the expected 1,140 forms were returned to the data center. The overall return rate was better for paper forms (537 of 570, 94%) than for electronic forms (466 of 570, 82%) because of technical difficulties experienced with electronic data collection and stolen or lost handheld computers. Errors of omission on the returned forms, however, were more common using paper forms. Of the returned forms, only 3% of those gathered electronically had errors of omission, compared with 35% of those gathered on paper. Similarly, only 0.04% of total survey items were missing on the electronic forms, compared with 3.5% of the survey items using paper forms. CONCLUSIONS Although handheld computers produced more complete data than the paper method for the returned forms, they were not superior because of the large amount of missing data due to technical difficulties with the hand-held computers or loss or theft. Other hardware solutions, such as tablet computers or cell phones linked via a wireless network directly to a Web site, may be better electronic solutions for the future.


Preventive Medicine | 2015

Impact of family history assessment on communication with family members and health care providers: A report from the Family Healthware™ Impact Trial (FHITr)

Catharine Wang; Ananda Sen; Melissa A. Plegue; Mack T. Ruffin; Suzanne M. O'Neill; Wendy S. Rubinstein; Louise S. Acheson; Paula W. Yoon; Rodolfo Valdez; Margie Irizarry-De La Cruz; Muin J. Khoury; Cynthia M. Jorgensen; Maren T. Scheuner; Nan Rothrock; Jennifer L. Beaumont; Shaheen Khan; Dawood Ali; Donald E. Nease; Stephen J. Zyzanski; Georgia L. Wiesner; James J. Werner; Wilson D. Pace; James M. Galliher; Elias Brandt; Robert Gramling; Erin J. Starzyk

OBJECTIVE This study examines the impact of Family Healthware™ on communication behaviors; specifically, communication with family members and health care providers about family health history. METHODS A total of 3786 participants were enrolled in the Family Healthware™ Impact Trial (FHITr) in the United States from 2005-7. The trial employed a two-arm cluster-randomized design, with primary care practices serving as the unit of randomization. Using generalized estimating equations (GEE), analyses focused on communication behaviors at 6month follow-up, adjusting for age, site and practice clustering. RESULTS A significant interaction was observed between study arm and baseline communication status for the family communication outcomes (ps<.01), indicating that intervention had effects of different magnitude between those already communicating at baseline and those who were not. Among participants who were not communicating at baseline, intervention participants had higher odds of communicating with family members about family history risk (OR=1.24, p=0.042) and actively collecting family history information at follow-up (OR=2.67, p=0.026). Family Healthware™ did not have a significant effect on family communication among those already communicating at baseline, or on provider communication, regardless of baseline communication status. Greater communication was observed among those at increased familial risk for a greater number of diseases. CONCLUSION Family Healthware™ prompted more communication about family history with family members, among those who were not previously communicating. Efforts are needed to identify approaches to encourage greater sharing of family history information, particularly with health care providers.


American Journal of Preventive Medicine | 2009

Familial Risk for Common Diseases in Primary Care

Suzanne M. O'Neill; Wendy S. Rubinstein; Catharine Wang; Paula W. Yoon; Louise S. Acheson; Nan Rothrock; Erin J. Starzyk; Jennifer L. Beaumont; James M. Galliher; Mack T. Ruffin

CONTEXT Family history is a risk factor for many common chronic diseases, yet it remains underutilized in primary care practice. BACKGROUND Family Healthware is a self-administered, web-based tool that assesses familial risk for CHD; stroke; diabetes; and colorectal, breast, and ovarian cancer, and provides a personalized prevention plan based on familial risk. The Family Healthware Impact Trial evaluated the tool. DESIGN In this cluster RCT, participants completed baseline and 6-month follow-up surveys. The intervention group used Family Healthware directly after the baseline survey. Controls used the tool after completing the follow-up survey. SETTING/PARTICIPANTS Patients aged 35-65 years with no known diagnosis of these six diseases were enrolled from 41 primary care practices. MAIN OUTCOME MEASURES The prevalence of family-history-based risk for coronary heart disease (CHD); stroke; diabetes; and colorectal, breast, and ovarian cancer was determined in a primary care population. RESULTS From 2005 to 2007, 3786 participants enrolled. Data analysis was undertaken from September 2007 to March 2008. Participants had a mean age of 50.6 years and were primarily white (91%) women (70%). Of the 3585 participants who completed the risk assessment tool, 82% had a strong or moderate familial risk for at least one of the diseases: CHD (strong=33%, moderate=26%); stroke (strong=15%, moderate=34%); diabetes (strong=11%, moderate=26%); colorectal cancer (strong=3%, moderate=11%); breast cancer (strong=10%, moderate=12%); and ovarian cancer (strong=4%, moderate=6%). Women had a significantly (p<0.04) higher familial risk than men for all diseases except colorectal and ovarian cancer. Overweight participants were significantly (p<or=0.02) more likely to have a strong family history for CHD, stroke, and diabetes. Older participants were significantly (p<or=0.02) more likely to report a strong family history for CHD and stroke as well as colorectal and breast cancer. CONCLUSIONS This self-administered, online tool delineated a substantial burden of family-history-based risk for these chronic diseases in an adult, primary care population. TRIAL REGISTRATION NCT00164658.


American Journal of Preventive Medicine | 2009

Familial risk for common diseases in primary care: the Family Healthwarereg trade mark Impact Trial.

Suzanne M. O'Neill; Wendy S. Rubinstein; Catharine Wang; Paula W. Yoon; Louise S. Acheson; Nan Rothrock; Erin J. Starzyk; Jennifer L. Beaumont; James M. Galliher; Mack T. Ruffin

CONTEXT Family history is a risk factor for many common chronic diseases, yet it remains underutilized in primary care practice. BACKGROUND Family Healthware is a self-administered, web-based tool that assesses familial risk for CHD; stroke; diabetes; and colorectal, breast, and ovarian cancer, and provides a personalized prevention plan based on familial risk. The Family Healthware Impact Trial evaluated the tool. DESIGN In this cluster RCT, participants completed baseline and 6-month follow-up surveys. The intervention group used Family Healthware directly after the baseline survey. Controls used the tool after completing the follow-up survey. SETTING/PARTICIPANTS Patients aged 35-65 years with no known diagnosis of these six diseases were enrolled from 41 primary care practices. MAIN OUTCOME MEASURES The prevalence of family-history-based risk for coronary heart disease (CHD); stroke; diabetes; and colorectal, breast, and ovarian cancer was determined in a primary care population. RESULTS From 2005 to 2007, 3786 participants enrolled. Data analysis was undertaken from September 2007 to March 2008. Participants had a mean age of 50.6 years and were primarily white (91%) women (70%). Of the 3585 participants who completed the risk assessment tool, 82% had a strong or moderate familial risk for at least one of the diseases: CHD (strong=33%, moderate=26%); stroke (strong=15%, moderate=34%); diabetes (strong=11%, moderate=26%); colorectal cancer (strong=3%, moderate=11%); breast cancer (strong=10%, moderate=12%); and ovarian cancer (strong=4%, moderate=6%). Women had a significantly (p<0.04) higher familial risk than men for all diseases except colorectal and ovarian cancer. Overweight participants were significantly (p<or=0.02) more likely to have a strong family history for CHD, stroke, and diabetes. Older participants were significantly (p<or=0.02) more likely to report a strong family history for CHD and stroke as well as colorectal and breast cancer. CONCLUSIONS This self-administered, online tool delineated a substantial burden of family-history-based risk for these chronic diseases in an adult, primary care population. TRIAL REGISTRATION NCT00164658.


Journal of Cancer Survivorship | 2013

Family physician preferences and knowledge gaps regarding the care of adolescent and young adult survivors of childhood cancer

Paul C. Nathan; Christopher K. Daugherty; Kristen Wroblewski; M. Kigin; Thomas V. Stewart; Fay J. Hlubocky; Eva Grunfeld; Marie Elisabeth Del Giudice; Leigh-Anne Evelyn Ward; James M. Galliher; Kevin C. Oeffinger; Tara O. Henderson


Journal of Family Practice | 2002

On the front lines: family physicians' preparedness for bioterrorism.

Frederick M. Chen; John Hickner; Kenneth S. Fink; James M. Galliher; Helen Burstin


Family Medicine | 2005

Hepatitis C identification and management by family physicians.

Elizabeth C. Clark; Barbara P. Yawn; James M. Galliher; Jonathan L. Temte; John Hickner


Genetics in Medicine | 2011

Components of family history associated with women's disease perceptions for cancer: a report from the Family Healthware™ Impact Trial.

Wendy S. Rubinstein; Suzanne M. O'Neill; Nan Rothrock; Erin J. Starzyk; Jennifer L. Beaumont; Louise S. Acheson; Catharine Wang; Robert Gramling; James M. Galliher; Mack T. Ruffin


Journal of Clinical Oncology | 2011

Physician preferences and knowledge gaps regarding the care of childhood cancer survivors: A survey of the American Academy of Family Physicians (AAFP).

Tara O. Henderson; Paul C. Nathan; M. Kigin; Fay J. Hlubocky; Kristen Wroblewski; Thomas V. Stewart; James M. Galliher; Kevin C. Oeffinger; Christopher K. Daugherty

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Aaron J. Bonham

University of Missouri–Kansas City

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Deborah Graham

American Academy of Family Physicians

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Erin J. Starzyk

University of Illinois at Chicago

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Jennifer Kappus

American Academy of Family Physicians

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Louise S. Acheson

Case Western Reserve University

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Nan Rothrock

Northwestern University

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