Health Related Quality of Life in Persons with Type 2 Diabetes in a Rural Community Served by a Critical Access Hospital

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University of Nebraska Medical Center DigitalCommons@UNMC Posters and Presentations: Physical Therapy Physical Therapy 2-6-2015 Health Related Quality of Life in Persons with Type 2 Diabetes in a Rural Community Served by a Critical Access Hospital Betsy J. Becker University of Nebraska Medical Center, betsyj.becker@unmc.edu Terry F. Nelson St. Francis Memorial Health Center Robin High University of Nebraska Medical Center, rhigh@unmc.edu Pat Hauer University of South Dakota Follow this and additional works at: http://digitalcommons.unmc.edu/cahp_pt_pres Part of the Physical Therapy Commons Recommended Citation Becker, Betsy J.; Nelson, Terry F.; High, Robin; and Hauer, Pat, "Health Related Quality of Life in Persons with Type 2 Diabetes in a Rural Community Served by a Critical Access Hospital" (2015). Posters and Presentations: Physical Therapy. Paper 3. http://digitalcommons.unmc.edu/cahp_pt_pres/3 This Conference Proceeding is brought to you for free and open access by the Physical Therapy at DigitalCommons@UNMC. It has been accepted for inclusion in Posters and Presentations: Physical Therapy by an authorized administrator of DigitalCommons@UNMC. For more information, please contact digitalcommons@unmc.edu.

Health Related Quality of Life in Persons with Type 2 Diabetes in a Rural Community Served by a Critical Access Hospital Betsy J. Becker, PT, DPT, CLT-LANA Terry F. Nelson, PT, DPT Robin High, MBA, MA, Pat Hauer, EdD American Physical Therapy Association Combined Sections Meeting Geriatric Section February 6, 2015 Indianapolis, IN Background Compared to urban settings, prevalence of Type 2 diabetes is higher in rural areas Life expectancy for an individual with uncontrolled Type 2 Diabetes is a reduced loss of 8-10 years of life. Hunt et. al 2014, Ablah et. al 2013, Duncan 1992 1

7/26/16 Background Incidence of diabetes per county 12 10 8 6 4 2 0 year 2004 Rural Northeast Nebraska year 2009 United States Behavioral Risk Surveillance Survey of 2010 Northeast ebraska 2

Population of Rural Counties serviced by Critical Access Hosptial 12000 10000 8000 6000 4000 2000 0 Cuming Wayne Stanton Colfax Burt Thurston US Census Bureau (2013) Critical Access Hospitals Designation created in 1997 to help rural health care infrastructure in a rural area, no more than 35 miles from another hospital provide 24- hour emergency care services maximum of 25 acute care and swing beds maintain an average length of stay of 96 hours or less for acute patients The Flex Monitoring Program 3

Study Purpose To determine whether health related quality of life (QOL) varies by gender and diabetes control (A1C) in rural persons with type 2 diabetes. Subjects We surveyed 615 persons with type 2 diabetes who receive care at a critical access hospital that serves a seven county rural area. We surveyed the entire population of persons on this diabetic registry maintained by the critical access hospital. All of which had an A1c within the last 2 years. 4

Methods IRB Approved Study Cross-sectional Mail Survey Dillman s Tailored Design Method of Survey Administration up to 4 contacts with study subjects at 2-week intervals Dillman, 2000 Methods Self-reported demographic characteristics, health related quality of life using the D-39 A1c from medical record We analyzed associations between A1c levels and survey responses using descriptive statistics and Spearman correlations. 5

Methods: D-39 Dimensions energy and mobility diabetes control anxiety and worry social burden sexual functioning 2 additional questions: severity, QOL 42% response rate Responses (n) Age (yrs) Total 257 73 (38-100) Males 125 (50%) 72 (41-100) Females 126 (50%) 76 (38-99) 6

Responses (n) Race/Ethnicity White 245 (95%) Hispanic 2 (1%) Other 4 (2%) Smoking history never 171 (69%) current/former 76 (31%) 13.4 80% average years since diagnosis taking insulin, oral medication or combination of the two 7

Average A1c 6.3 mg/dl (range 4.9-12.4) Without consideration of other factors, males, have a 0.321 higher median value of A1C than females in this study population (p=0.043). Place an X in the box below to show HOW SEVERE you think your diabetes is. energy and mobility (r=.46) diabetes control (r=.66) anxiety and worry (r=.51) social burden (r=.52) sexual functioning (r=.38) Spearman Correlations = Statistically Significant 8

Place an X in the box below that indicates your rating of your OVERALL QUALITY OF LIFE. energy and mobility (r=-.11) diabetes control (r=-.16) anxiety and worry (r=-.19) social burden (r=-.11) sexual functioning (r=-.24) Spearman Correlations = Statistically Significant Hemoglobin A1c energy and mobility (r=.31) diabetes control (r=.17) anxiety and worry (r=.24) social burden (r=.16) sexual functioning (r=.11) Spearman Correlations = Statistically Significant 9

Gender Differences energy and mobility (p=.70) diabetes control (p=.61) anxiety and worry (p=.45) social burden (p=.30) sexual functioning (p<.001) = Statistically Significant Gender Differences 10

Gender Differences Gender Differences 11

Conclusions Since diabetes control is largely due to self-management, it is important to consider the associations between the QOL dimensions, diabetes control (A1C) and gender. Important for implementing successful intervention strategies for glycemic control in rural critical access hospitals Clinical Relevance Although gender is commonly reported in published studies about diabetes, differences have not been routinely analyzed. A better understanding of the relationship of QOL and the impact on diabetes control and gender differences can assist the physical therapist in their role in providing optimal care for older adults with type 2 diabetes in rural communities. 12

Funding provided by: Franciscan Care Services, West Point, NE University of Nebraska Medical Center, Omaha, NE References 1. Hunt C, Grant JS, Palmer JJ, Steadman, L. Facilitators of Diabetes Selfmanagement Among Rural Individuals. Home Healthc Nurse. 2014;32(3):154-166. 2. Ablah E DF, Cupertino AP, Konda K, Johnston JA, Colliins T. PRevalence of Diabetes and Pre-Diabetes in Kansas. Ethn and Dis. 2013;23:415-429. 3. Duncan C. An audit of non-insulin-dependent diabetics attending a district general hospital diabetic clinic: implications for shared care between hospital and general practice. Health Bull 1992;50(4):302-308. 4. The Flex Monitoring Program. http://www.flexmonitoring.org/about/the-flexprogram/. Accessed March 28, 2014. 5. Dillman DA. Mail and internet surveys: The tailored designed method. New York: John Wiley & Sons; 2000 26 13

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