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      Effects of continuity of care on the postradiotherapy survival of working-age patients with oral cavity cancer: A nationwide population-based cohort study in Taiwan

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          Abstract

          Objectives

          Cancer of the oral cavity, a well-known global health concern, remains one of most common causes of cancer mortality. Continuity of care (COC), a measurement of the extent to which an individual patient receives care from a given provider over a specified period of time, can help cancer survivors process their experiences of dealing with the illness and recuperation; however, limited research has focused on the survival rate of working-age patients with oral cancer.

          Methods

          A total of 14,240 working-age patients (20 <age ≤65 years) with oral cavity cancer treated with radiotherapy (RT) during 2000–2013 were included in this study from a registry of patients with catastrophic illnesses maintained by the Taiwan National Health Insurance Research Database. We evaluated the effects of the Continuity of Care Index (COCI) proposed by Bice and Boxerman, sociodemographic factors, and comorbidities on the survival rate. This study categorized COC into three groups—low (COCI < 0.23), intermediate (COCI = 0.23–0.37), and high (COCI ≥ 0.38)—according to the distribution of scores in our sample. A multivariate Cox proportional hazards regression model was used to determine the demographic factors and comorbidities associated with the survival rate.

          Results

          Among all the relevant variables, low COCI, male sex, low socioeconomic status, no receipt of prior dental treatment before RT, residence outside northern Taiwan, chemotherapy receipt, and a history of diabetes increased the risk of mortality. Pre-RT dental evaluation and management was significantly associated with reduced post-RT mortality (adjusted hazard ratio [aHR] = 0.767, 95% confidence interval [CI] = 0.729–0.806, p < 0.001). Compared with patients with a high COCI, those with a low COCI exhibited an increased risk of mortality (aHR = 1.170, 95% CI = 1.093–1.252, p < 0.001). The mortality risk in the intermediate COC group was significantly higher than that in the high COC group (aHR = 1.194, 95% CI = 1.127–1.266, p < 0.001). To balance the distribution of the potential risk factors, propensity-score matching was used for the high COC (COCI > 0.38) and non-high COC (COCI ≤ 0.38) groups. After propensity-score matching, the mortality risk in the low and intermediate COC groups was also found to be significantly higher than that in the high COC group (aHR = 1.178, 95% CI = 1.074–1.292, p < 0.001 and aHR = 1.189, 95% CI = 1.107–1.277, p = 0.001, respectively).

          Conclusions

          In Taiwan, COC and prior dental treatment before RT significantly affected the survival rate of working-age patients with oral cancer. This result merits policymakers’ attention.

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          Most cited references46

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          Nationwide Population Science: Lessons From the Taiwan National Health Insurance Research Database.

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            Betel quid chewing, cigarette smoking and alcohol consumption related to oral cancer in Taiwan.

            A hospital-based case-control study of matched pairs was conducted to explore (a) the relationship between the use of betel quid chewing, cigarette smoking, alcohol drinking and oral cancer and (b) synergism between these factors. The case group consisted of 104 male and 3 female oral cancer patients and these were compared with 194 male and 6 female matched controls. We found by univariate analysis that alcohol consumption, smoking, betel quid chewing, educational level and occupation were associated with oral cancer. The adjusted odds ratios were to be found elevated in patients who were smoking and betel quid chewing. After adjusting for education and occupation covariates, the incidence of oral cancer was computed to be 123-fold higher in patients who smoked, drank alcohol and chewed betel quid than in abstainers. The synergistic effects of alcohol, tobacco smoke and betel quid in oral cancer were clearly demonstrated, but there was a statistically significant association between oral cancer and betel quid chewing alone. Swallowing betel quid juice (saliva extract of betel quid produced by chewing) or including unripened betel fruit in the quid both seemed to enhance the risks of contracting oral cancer.
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              A quantitative measure of continuity of care.

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: Conceptualization
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: Methodology
                Role: Data curationRole: Formal analysis
                Role: ConceptualizationRole: Formal analysisRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: InvestigationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                16 December 2019
                2019
                : 14
                : 12
                : e0225635
                Affiliations
                [1 ] Department of Stomatology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
                [2 ] Department of Marine Biotechnology and Resources, National Sun Yat-sen University, Kaohsiung, Taiwan
                [3 ] Department of Dental Technology, Shu-Zen junior College of Medicine and Management, Kaohsiung, Taiwan
                [4 ] Department of Molecular Biology and Human Genetics, Tzu Chi University, Hualien, Taiwan
                [5 ] Research Center of Medical Informatics, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
                [6 ] Department of Nursing, Meiho University, Pingtung, Taiwan
                [7 ] College of Nursing, Kaohsiung Medical University, Kaohsiung, Taiwan
                [8 ] Clinical Trial Center, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
                [9 ] Institute of Statistics, National University of Kaohsiung, Kaohsiung, Taiwan
                [10 ] Department of Internal Medicine, Kaohsiung Municipal United Hospital, Kaohsiung, Taiwan
                [11 ] School of Medicine, National Yang Ming University, Taipei, Taiwan
                [12 ] Yuhing Junior College of Health Care and Management, Kaohsiung, Taiwan
                University of Wisconsin, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-2534-9589
                http://orcid.org/0000-0002-7883-377X
                http://orcid.org/0000-0001-6920-8799
                Article
                PONE-D-19-11187
                10.1371/journal.pone.0225635
                6913929
                31841525
                df133b5a-d521-4158-8c78-637850c14dfd
                © 2019 Kuo et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 19 April 2019
                : 9 November 2019
                Page count
                Figures: 1, Tables: 6, Pages: 17
                Funding
                Funded by: Kaohsiung Veterans General Hospital and the Taiwan Health Promotion Administration
                Award ID: VGHKS104-133
                Award Recipient :
                This study was supported by grants (VGHKS104-133) from Kaohsiung Veterans General Hospital and the Taiwan Health Promotion Administration to PLT. The funder had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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