Skip to main content
Top
Published in: BMC Health Services Research 1/2019

Open Access 01-12-2019 | Care | Research article

Variation in the 11-year trajectories of medical care seeking behaviors in diabetes patients under a single payer system: persisting gaps to be filled

Authors: Tzu-Ho Tsai, Nicole Huang, I-Feng Lin, Yiing-Jenq Chou

Published in: BMC Health Services Research | Issue 1/2019

Login to get access

Abstract

Background

Care-seeking behavior is widely acknowledged to have strong influences on health outcomes among individuals with chronic conditions including diabetes. Despite its dynamic nature, care seeking behavior are often considered as time invariant in most studies. The likelihood of patients changing their regularity and source of chronic care over time is often neglected. This study aimed to determine the long-term trajectories of care-seeking patterns of both care-seeking regularity and health provider choices; and their associated factors among patients with type 2 diabetes under the National Health Insurance (NHI) program in Taiwan.

Methods

We utilized population-based data from the National Health Insurance Research Database (NHIRD) in Taiwan. Three thousand, nine hundred and eighty-seven adult patients with newly diagnosed type 2 diabetes in 1999 were enrolled in the cohort. We assessed their trajectories of regular care visits and sources of diabetes care from 2000 to 2010. A group-based trajectory model was applied.

Results

Seven distinct groups of long-term care-seeking patterns were identified. Only 51.44% of patients with newly diagnosed diabetes had regularly visited their providers over time. Among them, 56.41 and 16.09% had persistently sought care from generalized and specialized providers, respectively. 27.50% had sought care from different levels of providers. Patients who were male, elderly, low-income, and had a higher baseline diabetes severity were significantly more likely to either continue with their irregular care-seeking behavior or fail to maintain their regular care seeking behavior over time. Those who were younger, had a higher socioeconomic status, and lived in an urban area were significantly more likely to persistently seek care from specialized care settings.

Conclusions

This study is the first population-based assessment of long-term care-seeking behaviors of type 2 diabetes patients under a single-payer system with a comprehensive benefit coverage. The most alarming finding was that, despite the existence of the comprehensive universal health insurance coverage in Taiwan, almost 50% of patients did not seek or maintain regular visits to providers over time as recommended. Understanding variations in the long-term trajectories of care adherence and sources of care may help to identify gaps in diabetes care management.
Literature
1.
go back to reference Lozano R, Naghavi M, Foreman K, Lim S, Shibuya K, Aboyans V, Abraham J, Adair T, Aggarwal R, Ahn SY. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the global burden of disease study 2010. Lancet. 2013;380(9859):2095–128.CrossRef Lozano R, Naghavi M, Foreman K, Lim S, Shibuya K, Aboyans V, Abraham J, Adair T, Aggarwal R, Ahn SY. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the global burden of disease study 2010. Lancet. 2013;380(9859):2095–128.CrossRef
2.
go back to reference Rausch JR, Hood KK, Delamater A, Pendley JS, Rohan JM, Reeves G, Dolan L, Drotar D. Changes in treatment adherence and glycemic control during the transition to adolescence in type 1 diabetes. Diabetes Care. 2012;35(6):1219–24.CrossRef Rausch JR, Hood KK, Delamater A, Pendley JS, Rohan JM, Reeves G, Dolan L, Drotar D. Changes in treatment adherence and glycemic control during the transition to adolescence in type 1 diabetes. Diabetes Care. 2012;35(6):1219–24.CrossRef
3.
go back to reference Brady TJ. A meta-analysis of health status, health behaviors, and health care utilization outcomes of the chronic disease self-management program. Prev Chronic Dis. 2013;10:120112.CrossRef Brady TJ. A meta-analysis of health status, health behaviors, and health care utilization outcomes of the chronic disease self-management program. Prev Chronic Dis. 2013;10:120112.CrossRef
4.
go back to reference Drouin H, Walker J, McNeil H, Elliott J, Stolee P. Measured outcomes of chronic care programs for older adults: a systematic review. BMC Geriatr. 2015;15(1):1.CrossRef Drouin H, Walker J, McNeil H, Elliott J, Stolee P. Measured outcomes of chronic care programs for older adults: a systematic review. BMC Geriatr. 2015;15(1):1.CrossRef
5.
go back to reference Martínez-González NA, Berchtold P, Ullman K, Busato A, Egger M. Integrated care programmes for adults with chronic conditions: a meta-review. Int J Qual Health Care. 2014;26(5):561–70.CrossRef Martínez-González NA, Berchtold P, Ullman K, Busato A, Egger M. Integrated care programmes for adults with chronic conditions: a meta-review. Int J Qual Health Care. 2014;26(5):561–70.CrossRef
6.
go back to reference Wootton R. Twenty years of telemedicine in chronic disease management–an evidence synthesis. J Telemed Telecare. 2012;18(4):211–20.CrossRef Wootton R. Twenty years of telemedicine in chronic disease management–an evidence synthesis. J Telemed Telecare. 2012;18(4):211–20.CrossRef
7.
go back to reference Kazemi E, Hosseini SM, Bahrampour A, Faghihimani E, Amini M. Predicting of trend of hemoglobin a1c in type 2 diabetes: a longitudinal linear mixed model. Int J Prev Med. 2014;5(10):1274.PubMedPubMedCentral Kazemi E, Hosseini SM, Bahrampour A, Faghihimani E, Amini M. Predicting of trend of hemoglobin a1c in type 2 diabetes: a longitudinal linear mixed model. Int J Prev Med. 2014;5(10):1274.PubMedPubMedCentral
8.
go back to reference Kuo Y-F, Raji MA, Markides KS, Ray LA, Espino DV, Goodwin JS. Inconsistent use of diabetes medications, diabetes complications, and mortality in older Mexican Americans over a 7-year period data from the Hispanic established population for the epidemiologic study of the elderly. Diabetes Care. 2003;26(11):3054–60.CrossRef Kuo Y-F, Raji MA, Markides KS, Ray LA, Espino DV, Goodwin JS. Inconsistent use of diabetes medications, diabetes complications, and mortality in older Mexican Americans over a 7-year period data from the Hispanic established population for the epidemiologic study of the elderly. Diabetes Care. 2003;26(11):3054–60.CrossRef
9.
go back to reference O’connor PJ, Desai J, Rush WA, Cherney LM, Solberg LI, Bishop DB. Is having a regular provider of diabetes care related to intensity of care and glycemic control? J Fam Pract. 1998;47(4):290–8.PubMed O’connor PJ, Desai J, Rush WA, Cherney LM, Solberg LI, Bishop DB. Is having a regular provider of diabetes care related to intensity of care and glycemic control? J Fam Pract. 1998;47(4):290–8.PubMed
10.
go back to reference Vermeire E, Hearnshaw H, Van Royen P, Denekens J. Patient adherence to treatment: three decades of research. A comprehensive review. J Clin Pharm Ther. 2001;26(5):331–42.CrossRef Vermeire E, Hearnshaw H, Van Royen P, Denekens J. Patient adherence to treatment: three decades of research. A comprehensive review. J Clin Pharm Ther. 2001;26(5):331–42.CrossRef
11.
go back to reference De Berardis G, Pellegrini F, Franciosi M, Belfiglio M, Di Nardo B, Greenfield S, Kaplan SH, Rossi MC, Sacco M, Tognoni G. Quality of care and outcomes in type 2 diabetic patients a comparison between general practice and diabetes clinics. Diabetes Care. 2004;27(2):398–406.CrossRef De Berardis G, Pellegrini F, Franciosi M, Belfiglio M, Di Nardo B, Greenfield S, Kaplan SH, Rossi MC, Sacco M, Tognoni G. Quality of care and outcomes in type 2 diabetic patients a comparison between general practice and diabetes clinics. Diabetes Care. 2004;27(2):398–406.CrossRef
12.
go back to reference Greenfield S, Kaplan SH, Kahn R, Ninomiya J, Griffith JL. Profiling care provided by different groups of physicians: effects of patient case-mix (bias) and physician-level clustering on quality assessment results. Ann Intern Med. 2002;136(2):111–21.CrossRef Greenfield S, Kaplan SH, Kahn R, Ninomiya J, Griffith JL. Profiling care provided by different groups of physicians: effects of patient case-mix (bias) and physician-level clustering on quality assessment results. Ann Intern Med. 2002;136(2):111–21.CrossRef
13.
go back to reference Victoor A, Delnoij DM, Friele RD, Rademakers JJ. Determinants of patient choice of healthcare providers: a scoping review. BMC Health Serv Res. 2012;12(1):272.CrossRef Victoor A, Delnoij DM, Friele RD, Rademakers JJ. Determinants of patient choice of healthcare providers: a scoping review. BMC Health Serv Res. 2012;12(1):272.CrossRef
14.
go back to reference Lux MP, Fasching P, Schrauder M, Löhberg C, Thiel F, Bani M, Hildebrandt T, Grün A, Beckmann M, Goecke T. The era of centers: the influence of establishing specialized centers on patients’ choice of hospital. Arch Gynecol Obstet. 2011;283(3):559–68.CrossRef Lux MP, Fasching P, Schrauder M, Löhberg C, Thiel F, Bani M, Hildebrandt T, Grün A, Beckmann M, Goecke T. The era of centers: the influence of establishing specialized centers on patients’ choice of hospital. Arch Gynecol Obstet. 2011;283(3):559–68.CrossRef
15.
go back to reference Varkevisser M, Van der Geest S, Schut F. Quality competition in regulated hospital markets: consumer information and patient choice for angioplasty. Patient choice, competition and antitrust enforcement in Dutch hospital markets; 2009. p. 117–49. Varkevisser M, Van der Geest S, Schut F. Quality competition in regulated hospital markets: consumer information and patient choice for angioplasty. Patient choice, competition and antitrust enforcement in Dutch hospital markets; 2009. p. 117–49.
16.
go back to reference Bornstein BH, Marcus D, Cassidy W. Choosing a doctor: an exploratory study of factors influencing patients’ choice of a primary care doctor. J Eval Clin Pract. 2000;6(3):255–62.CrossRef Bornstein BH, Marcus D, Cassidy W. Choosing a doctor: an exploratory study of factors influencing patients’ choice of a primary care doctor. J Eval Clin Pract. 2000;6(3):255–62.CrossRef
17.
go back to reference Pillai RK, Williams SV, Glick HA, Polsky D, Berlin JA, Lowe RA. Factors affecting decisions to seek treatment for sick children in Kerala, India. Soc Sci Med. 2003;57(5):783–90.CrossRef Pillai RK, Williams SV, Glick HA, Polsky D, Berlin JA, Lowe RA. Factors affecting decisions to seek treatment for sick children in Kerala, India. Soc Sci Med. 2003;57(5):783–90.CrossRef
18.
go back to reference Sudha G, Nirupa C, Rajasakthivel M, Sivasusbramanian S, Sundaram V, Bhatt S, Subramaniam K, Thiruvalluvan E, Mathew R, Renu G. Factors influencing the care-seeking behaviour of chest symptomatics: a community-based study involving rural and urban population in Tamil Nadu, South India. Tropical Med Int Health. 2003;8(4):336–41.CrossRef Sudha G, Nirupa C, Rajasakthivel M, Sivasusbramanian S, Sundaram V, Bhatt S, Subramaniam K, Thiruvalluvan E, Mathew R, Renu G. Factors influencing the care-seeking behaviour of chest symptomatics: a community-based study involving rural and urban population in Tamil Nadu, South India. Tropical Med Int Health. 2003;8(4):336–41.CrossRef
19.
go back to reference Tipping G, Segall M. Health care seeking behaviour in developing countries. An annotated bibliography and literature review; 1995. Tipping G, Segall M. Health care seeking behaviour in developing countries. An annotated bibliography and literature review; 1995.
20.
go back to reference Van Doorslaer E, Wagstaff A, Van der Burg H, Christiansen T, De Graeve D, Duchesne I, Gerdtham U-G, Gerfin M, Geurts J, Gross L. Equity in the delivery of health care in Europe and the US. J Health Econ. 2000;19(5):553–83.CrossRef Van Doorslaer E, Wagstaff A, Van der Burg H, Christiansen T, De Graeve D, Duchesne I, Gerdtham U-G, Gerfin M, Geurts J, Gross L. Equity in the delivery of health care in Europe and the US. J Health Econ. 2000;19(5):553–83.CrossRef
21.
go back to reference Rodríguez M, Stoyanova A. The effect of private insurance access on the choice of GP/specialist and public/private provider in Spain. Health Econ. 2004;13(7):689–703.CrossRef Rodríguez M, Stoyanova A. The effect of private insurance access on the choice of GP/specialist and public/private provider in Spain. Health Econ. 2004;13(7):689–703.CrossRef
22.
go back to reference Lee Y-C, Huang Y-T, Tsai Y-W, Huang S-M, Kuo KN, McKee M, Nolte E. The impact of universal National Health Insurance on population health: the experience of Taiwan. BMC Health Serv Res. 2010;10(1):225.CrossRef Lee Y-C, Huang Y-T, Tsai Y-W, Huang S-M, Kuo KN, McKee M, Nolte E. The impact of universal National Health Insurance on population health: the experience of Taiwan. BMC Health Serv Res. 2010;10(1):225.CrossRef
23.
go back to reference Cheng T-M. Taiwan’s new national health insurance program: genesis and experience so far. Health Aff. 2003;22(3):61–76.CrossRef Cheng T-M. Taiwan’s new national health insurance program: genesis and experience so far. Health Aff. 2003;22(3):61–76.CrossRef
24.
go back to reference Lin C-C, Lai M-S, Syu C-Y, Chang S-C, Tseng F-Y. Accuracy of diabetes diagnosis in health insurance claims data in Taiwan. J Formos Med Assoc. 2005;104(3):157–63.PubMed Lin C-C, Lai M-S, Syu C-Y, Chang S-C, Tseng F-Y. Accuracy of diabetes diagnosis in health insurance claims data in Taiwan. J Formos Med Assoc. 2005;104(3):157–63.PubMed
25.
go back to reference Quan H, Li B, Duncan Saunders L, Parsons GA, Nilsson CI, Alibhai A, Ghali WA. Assessing validity of ICD-9-CM and ICD-10 administrative data in recording clinical conditions in a unique dually coded database. Health Serv Res. 2008;43(4):1424–41.CrossRef Quan H, Li B, Duncan Saunders L, Parsons GA, Nilsson CI, Alibhai A, Ghali WA. Assessing validity of ICD-9-CM and ICD-10 administrative data in recording clinical conditions in a unique dually coded database. Health Serv Res. 2008;43(4):1424–41.CrossRef
26.
go back to reference AmericanDiabetesAssociation. Standards of medical care in diabetes—2014. Diabet Care. 2014;37(Supplement 1):S14–80.CrossRef AmericanDiabetesAssociation. Standards of medical care in diabetes—2014. Diabet Care. 2014;37(Supplement 1):S14–80.CrossRef
27.
go back to reference Garber A, Abrahamson M, Barzilay J, Blonde L, Bloomgarden Z, Bush M, Dagogo-Jack S, Davidson M, Einhorn D, Garvey W. American Association of Clinical Endocrinologists’ comprehensive diabetes management algorithm 2013 consensus statement. Endocr Pract. 2013;19(Supplement 2):1–48.CrossRef Garber A, Abrahamson M, Barzilay J, Blonde L, Bloomgarden Z, Bush M, Dagogo-Jack S, Davidson M, Einhorn D, Garvey W. American Association of Clinical Endocrinologists’ comprehensive diabetes management algorithm 2013 consensus statement. Endocr Pract. 2013;19(Supplement 2):1–48.CrossRef
28.
go back to reference Pantalone KM, Misra-Hebert AD, Hobbs TM, Wells BJ, Kong SX, Chagin K, Dey T, Milinovich A, Weng W, Bauman JM. Effect of glycemic control on the diabetes complications severity index score and development of complications in people with newly diagnosed type 2 diabetes. J Diabetes. 2017. Pantalone KM, Misra-Hebert AD, Hobbs TM, Wells BJ, Kong SX, Chagin K, Dey T, Milinovich A, Weng W, Bauman JM. Effect of glycemic control on the diabetes complications severity index score and development of complications in people with newly diagnosed type 2 diabetes. J Diabetes. 2017.
29.
go back to reference Young BA, Lin E, Von Korff M, Simon G, Ciechanowski P, Ludman EJ, Everson-Stewart S, Kinder L, Oliver M, Boyko EJ. Diabetes complications severity index and risk of mortality, hospitalization, and healthcare utilization. Am J Manag Care. 2008;14(1):15.PubMedPubMedCentral Young BA, Lin E, Von Korff M, Simon G, Ciechanowski P, Ludman EJ, Everson-Stewart S, Kinder L, Oliver M, Boyko EJ. Diabetes complications severity index and risk of mortality, hospitalization, and healthcare utilization. Am J Manag Care. 2008;14(1):15.PubMedPubMedCentral
30.
go back to reference Nagin D. Group-based modeling of development: Harvard University press; 2005. Nagin D. Group-based modeling of development: Harvard University press; 2005.
31.
go back to reference Nagin DS. Analyzing developmental trajectories: a semiparametric, group-based approach. Psychol Methods. 1999;4(2):139.CrossRef Nagin DS. Analyzing developmental trajectories: a semiparametric, group-based approach. Psychol Methods. 1999;4(2):139.CrossRef
32.
go back to reference Jones BL, Nagin DS, Roeder K. A SAS procedure based on mixture models for estimating developmental trajectories. Sociol Methods Res. 2001;29(3):374–93.CrossRef Jones BL, Nagin DS, Roeder K. A SAS procedure based on mixture models for estimating developmental trajectories. Sociol Methods Res. 2001;29(3):374–93.CrossRef
33.
go back to reference Franklin JM, Shrank WH, Pakes J, Sanfélix-Gimeno G, Matlin OS, Brennan TA, Choudhry NK. Group-based trajectory models: a new approach to classifying and predicting long-term medication adherence. Med Care. 2013;51(9):789–96.CrossRef Franklin JM, Shrank WH, Pakes J, Sanfélix-Gimeno G, Matlin OS, Brennan TA, Choudhry NK. Group-based trajectory models: a new approach to classifying and predicting long-term medication adherence. Med Care. 2013;51(9):789–96.CrossRef
34.
go back to reference Huang R-C, De Klerk NH, Smith A, Kendall GE, Landau LI, Mori TA, Newnham JP, Stanley FJ, Oddy WH, Hands B. Lifecourse childhood adiposity trajectories associated with adolescent insulin resistance. Diabetes Care. 2011;34(4):1019–25.CrossRef Huang R-C, De Klerk NH, Smith A, Kendall GE, Landau LI, Mori TA, Newnham JP, Stanley FJ, Oddy WH, Hands B. Lifecourse childhood adiposity trajectories associated with adolescent insulin resistance. Diabetes Care. 2011;34(4):1019–25.CrossRef
35.
go back to reference Laiteerapong N, Karter AJ, Moffet HH, Cooper JM, Gibbons RD, Liu JY, Gao Y, Huang ES. Ten-year hemoglobin A1c trajectories and outcomes in type 2 diabetes mellitus: the Diabetes & Aging Study. J Diabetes Complicat. 2017;1(31):94–100.CrossRef Laiteerapong N, Karter AJ, Moffet HH, Cooper JM, Gibbons RD, Liu JY, Gao Y, Huang ES. Ten-year hemoglobin A1c trajectories and outcomes in type 2 diabetes mellitus: the Diabetes & Aging Study. J Diabetes Complicat. 2017;1(31):94–100.CrossRef
36.
go back to reference Gellad WF, Grenard JL, Marcum ZA. A systematic review of barriers to medication adherence in the elderly: looking beyond cost and regimen complexity. Am J Geriatr Pharmacother. 2011;9(1):11–23.CrossRef Gellad WF, Grenard JL, Marcum ZA. A systematic review of barriers to medication adherence in the elderly: looking beyond cost and regimen complexity. Am J Geriatr Pharmacother. 2011;9(1):11–23.CrossRef
37.
go back to reference Park DC, Willis SL, Morrow D, Diehl M, Gaines CL. Cognitive function and medication usage in older adults. J Appl Gerontol. 1994;13(1):39–57.CrossRef Park DC, Willis SL, Morrow D, Diehl M, Gaines CL. Cognitive function and medication usage in older adults. J Appl Gerontol. 1994;13(1):39–57.CrossRef
38.
go back to reference Sarkisian CA, Hays RD, Mangione CM. Do older adults expect to age successfully? The association between expectations regarding aging and beliefs regarding healthcare seeking among older adults. J Am Geriatr Soc. 2002;50(11):1837–43.CrossRef Sarkisian CA, Hays RD, Mangione CM. Do older adults expect to age successfully? The association between expectations regarding aging and beliefs regarding healthcare seeking among older adults. J Am Geriatr Soc. 2002;50(11):1837–43.CrossRef
39.
go back to reference Currie CJ, Peyrot M, Morgan CL, Poole CD, Jenkins-Jones S, Rubin RR, Burton CM, Evans M. The impact of treatment noncompliance on mortality in people with type 2 diabetes. Diabetes Care. 2012;35(6):1279–84.CrossRef Currie CJ, Peyrot M, Morgan CL, Poole CD, Jenkins-Jones S, Rubin RR, Burton CM, Evans M. The impact of treatment noncompliance on mortality in people with type 2 diabetes. Diabetes Care. 2012;35(6):1279–84.CrossRef
40.
go back to reference DiMatteo MR, Haskard KB, Williams SL. Health beliefs, disease severity, and patient adherence: a meta-analysis. Med Care. 2007;45(6):521–8.CrossRef DiMatteo MR, Haskard KB, Williams SL. Health beliefs, disease severity, and patient adherence: a meta-analysis. Med Care. 2007;45(6):521–8.CrossRef
41.
go back to reference Wagner GJ, Ryan GW. Relationship between routinization of daily behaviors and medication adherence in HIV-positive drug users. AIDS Patient Care STDs. 2004;18(7):385–93.CrossRef Wagner GJ, Ryan GW. Relationship between routinization of daily behaviors and medication adherence in HIV-positive drug users. AIDS Patient Care STDs. 2004;18(7):385–93.CrossRef
42.
go back to reference Horne R, Weinman J. Patients’ beliefs about prescribed medicines and their role in adherence to treatment in chronic physical illness. J Psychosom Res. 1999;47(6):555–67.CrossRef Horne R, Weinman J. Patients’ beliefs about prescribed medicines and their role in adherence to treatment in chronic physical illness. J Psychosom Res. 1999;47(6):555–67.CrossRef
43.
go back to reference Kravitz RL, Bell RA, Azari R, Krupat E, Kelly-Reif S, Thom D. Request fulfillment in office practice: antecedents and relationship to outcomes. Med Care. 2002;40(1):38–51.CrossRef Kravitz RL, Bell RA, Azari R, Krupat E, Kelly-Reif S, Thom D. Request fulfillment in office practice: antecedents and relationship to outcomes. Med Care. 2002;40(1):38–51.CrossRef
44.
go back to reference Guénette L, Moisan J, Breton M-C, Sirois C, Grégoire J-P. Difficulty adhering to antidiabetic treatment: factors associated with persistence and compliance. Diabetes Metab. 2013;39(3):250–7.CrossRef Guénette L, Moisan J, Breton M-C, Sirois C, Grégoire J-P. Difficulty adhering to antidiabetic treatment: factors associated with persistence and compliance. Diabetes Metab. 2013;39(3):250–7.CrossRef
45.
go back to reference Garrow D, Egede LE. Association between complementary and alternative medicine use, preventive care practices, and use of conventional medical services among adults with diabetes. Diabetes Care. 2006;29(1):15–9.CrossRef Garrow D, Egede LE. Association between complementary and alternative medicine use, preventive care practices, and use of conventional medical services among adults with diabetes. Diabetes Care. 2006;29(1):15–9.CrossRef
46.
go back to reference Tai WTC, Porell FW, Adams EK. Hospital choice of rural Medicare beneficiaries: patient, hospital attributes, and the patient–physician relationship. Health Serv Res. 2004;39(6p1):1903–22.CrossRef Tai WTC, Porell FW, Adams EK. Hospital choice of rural Medicare beneficiaries: patient, hospital attributes, and the patient–physician relationship. Health Serv Res. 2004;39(6p1):1903–22.CrossRef
47.
go back to reference Zgibor JC, Songer TJ, Kelsey SF, Weissfeld J, Drash AL, Becker D, Orchard TJ. The association of diabetes specialist care with health care practices and glycemic control in patients with type 1 diabetes: a cross-sectional analysis from the Pittsburgh epidemiology of diabetes complications study. Diabetes Care. 2000;23(4):472–6.CrossRef Zgibor JC, Songer TJ, Kelsey SF, Weissfeld J, Drash AL, Becker D, Orchard TJ. The association of diabetes specialist care with health care practices and glycemic control in patients with type 1 diabetes: a cross-sectional analysis from the Pittsburgh epidemiology of diabetes complications study. Diabetes Care. 2000;23(4):472–6.CrossRef
48.
go back to reference Kravitz RL, Greenfield S, Rogers W, Manning WG, Zubkoff M, Nelson EC, Tarlov AR, Ware JE. Differences in the mix of patients among medical specialties and systems of care: results from the medical outcomes study. Jama. 1992;267(12):1617–23.CrossRef Kravitz RL, Greenfield S, Rogers W, Manning WG, Zubkoff M, Nelson EC, Tarlov AR, Ware JE. Differences in the mix of patients among medical specialties and systems of care: results from the medical outcomes study. Jama. 1992;267(12):1617–23.CrossRef
49.
go back to reference Vanasse A, Courteau J, Cohen A, Orzanco M, Drouin C. Rural-urban disparities in the management and health issues of chronic diseases in Quebec (Canada) in the early 2000s. Rural Remote Health. 2010;10(1058):1–15. Vanasse A, Courteau J, Cohen A, Orzanco M, Drouin C. Rural-urban disparities in the management and health issues of chronic diseases in Quebec (Canada) in the early 2000s. Rural Remote Health. 2010;10(1058):1–15.
50.
go back to reference Adams EK, Houchens R, Wright GE, Robbins J. Predicting hospital choice for rural Medicare beneficiaries: the role of severity of illness. Health Serv Res. 1991;26(5):583.PubMedPubMedCentral Adams EK, Houchens R, Wright GE, Robbins J. Predicting hospital choice for rural Medicare beneficiaries: the role of severity of illness. Health Serv Res. 1991;26(5):583.PubMedPubMedCentral
Metadata
Title
Variation in the 11-year trajectories of medical care seeking behaviors in diabetes patients under a single payer system: persisting gaps to be filled
Authors
Tzu-Ho Tsai
Nicole Huang
I-Feng Lin
Yiing-Jenq Chou
Publication date
01-12-2019
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue 1/2019
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-019-4399-0

Other articles of this Issue 1/2019

BMC Health Services Research 1/2019 Go to the issue