scholarly journals Does Health Care Utilization Before Hip Arthroscopy Predict Health Care Utilization After Surgery in the US Military Health System? An Investigation Into Health-Seeking Behavior

2018 ◽  
Vol 48 (11) ◽  
pp. 878-886 ◽  
Author(s):  
Derek Clewley ◽  
Daniel I. Rhon ◽  
Timothy W. Flynn ◽  
Charles D. Sissel ◽  
Chad E. Cook
2021 ◽  
Author(s):  
Gerili Zaya ◽  
Shijia Li ◽  
Jingyu Pan ◽  
Jinyu Zhang ◽  
Anita Näslindh-Ylispangar ◽  
...  

Abstract Background Though relevant education and clinical practice could promote health-seeking behavior, nurses and nursing students may not actively seek healthcare. Methods This was a cross-sectional study using an adaptation of the self-reported Health Behavior Questionnaire (HBQ) including sociocultural background, lifestyle, self-assessment of life, health care utilization, and health counseling. 199 valid samples were acquired by convenient sampling. Univariate analysis, Spearman rank correlation, Pearson correlation, and multivariate linear regression were used to analyze the data. Results Cultural background, living with family, employment, most items in lifestyle, and all items in perceived life status were correlated with health-seeking behavior. A multivariate linear regression verified the influence of alcohol consumption, financial situation, and work situation on the experience of health care utilization, as well as the influence of physical health and interpersonal relationship on the experience of health counseling. Conclusions Less alcohol consumption, better financial situation, and better work situation are positively correlated with health care utilization. Better physical health and sounder interpersonal relationships can improve health counseling. The effect of other factors needs further exploration. Cohort studies could be used to investigate the long-term change in health-seeking behavior.


2015 ◽  
Vol 2 (suppl_1) ◽  
Author(s):  
Emil Lesho ◽  
Mary Hinkle ◽  
Yoon Kwak ◽  
Ana Ong ◽  
Rosslyn Maybank ◽  
...  

2012 ◽  
Vol 25 (1) ◽  
pp. 74-76 ◽  
Author(s):  
David A. Klein ◽  
Ginny Gildengorin ◽  
Peter Mosher ◽  
William P. Adelman

2019 ◽  
Vol 38 (8) ◽  
pp. 1335-1342
Author(s):  
Yvonne L. Eaglehouse ◽  
Mayada Aljehani ◽  
Matthew W. Georg ◽  
Olga Castellanos ◽  
Jerry S. H. Lee ◽  
...  

JAMA Surgery ◽  
2019 ◽  
Vol 154 (3) ◽  
pp. e185113 ◽  
Author(s):  
Yvonne L. Eaglehouse ◽  
Matthew W. Georg ◽  
Craig D. Shriver ◽  
Kangmin Zhu

2019 ◽  
Vol 184 (11-12) ◽  
pp. e847-e855 ◽  
Author(s):  
Yvonne L Eaglehouse ◽  
Matthew W Georg ◽  
Patrick Richard ◽  
Craig D Shriver ◽  
Kangmin Zhu

ABSTRACT Introduction Cancer is one of the leading causes of morbidity and mortality in the USA, contributing largely to US healthcare spending. Provision of services (direct or purchased) and insurance benefit type may impact cost for cancer care. As a common cause of cancer in both men and women, we aim to compare colon cancer treatment costs between insurance benefit types and care sources in the US Military Health System (MHS) to better understand whether and to what extent these system factors impact cancer care costs. Materials and Methods Department of Defense Central Cancer Registry records and MHS Data Repository administrative claims were used to identify MHS beneficiaries aged 18–64 who were diagnosed with primary colon adenocarcinoma and received treatment between 2003 and 2008. The data linkage was approved by the Institutional Review Boards of the Walter Reed National Military Medical Center, the Defense Health Agency, and the National Institutes of Health. Costs to the MHS for each claim related to cancer treatment were extracted from the linked data and adjusted to 2008 USD. We used quantile regression models to compare median cancer treatment costs between benefit types and care sources (direct, purchased, or both), adjusted for demographic, tumor, and treatment characteristics. Results The median per capita (n = 801) costs for colon cancer care were $60,321 (interquartile range $24,625, $159,729) over a median follow-up of 1.7 years. The model-estimated treatment costs were similar between benefit types. Patients using direct care had significantly lower estimated median costs [$34,145 (standard error $4,326)] than patients using purchased care [$106,395 ($10,559)] or both care sources [$82,439 ($13,330)], controlled for patient demographic, tumor, and treatment characteristics. Differences in cost by care source were noted for patients with later stage tumors and by treatment type. Relative costs were 2–3 times higher for purchased care compared to direct care for patients with late-stage tumors and for patients receiving chemotherapy or radiation treatment. Conclusions In the MHS, median cost for colon cancer treatment was lower in direct care compared to purchased care or patients using a combination of direct and purchased care. The variation in cancer treatment costs between care sources may be due to differences in treatment incentives or capabilities. Additional studies on cost differences between direct and purchased services are needed to understand how provision of care affects cancer treatment costs and to identify possible targets for cost reduction.


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