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Objectives: This study examined the relationship between claims-based and patient-reported continuity of care (COC) measures and investigated the effects of the 2 types of COC measures on subjective and objective health care outcomes., Study Design: A prospective, cross-sectional, correlational survey design was used. A nationwide face-to-face interview survey of community-dwelling older adults was conducted, and the survey participants' health claims records were retrieved and linked under the universal health insurance system of Taiwan in 2018., Methods: Health care outcomes were measured subjectively (patient satisfaction and perceived lack of coordination) and objectively (likelihood of hospital admissions and emergency department [ED] visits). COC was measured using claims-based and multidimensional patient-reported COC. Ordered logit and logit models were used to examine the relationship between the 2 types of COC measures, and health care outcomes were measured subjectively and objectively. Average marginal effects with bootstrapped SEs were computed for health care outcomes., Results: This study demonstrated that the correlations of claims-based and patient-reported COC measures were quite low and mainly insignificant. A higher claims-based COC was significantly associated with a lower likelihood of hospital admissions, ED visits, and perceived lack of coordination. No significant relationship was identified between claims-based COC and patient satisfaction. Participants reporting higher COC had better patient satisfaction and less perceived lack of coordination. However, no relationship was identified between patient-reported COC and the likelihood of hospital admissions and ED visits., Conclusions: The correlation between claims-based and patient-reported COC measures is low, and claims-based and patient-reported COC measures are associated with different subjective and objective health care outcomes. We suggest that claims-based COC indicators representing the pattern of physician visits might be considered a unique dimension of COC.

Background: Longitudinal continuity between a patient and his/her primary care physician is an important aspect in measuring continuity of care (COC). The majority of previous studies employed questionnaire surveys to patients to measure the continual relationship between patients and their physicians. This study aimed to construct a provider duration continuity index (PDCI) by using longitudinal claims data and to examine its agreement with commonly used COC measures. Then, this study investigated the effects of the various types of COC measure on the likelihood of avoidable hospitalization while considering the level of comorbidity., Methods: This study constructed a 4-year panel (from 2014 to 2017) of the nationwide health insurance claims data in Taiwan. In total, 328,044 randomly selected patients with 3 or more physician visits per year were analyzed. Two PDCIs were constructed to measure the duration of interaction between a patient and his/her physicians over time. The agreement between the PDCIs and three commonly used COC indicators, the Usual Provider of Care index, the Continuity of Care Index, and the Sequential Continuity Index, were examined. Generalized estimating equations were conducted to examine the association between COC and avoidable hospitalization by the level of comorbidity., Results: The results showed that the correlations among the three commonly used COC indicators were high (γ = 0.787 ~ 0.958) and the correlation between the two longitudinal continuity measures was moderate (γ = 0.577 ~ 0.579), but the correlations between the commonly used COC indicators and the two PDCIs were low (γ = 0.001 ~ 0.257). All COC measures, both the PDCIs and the three commonly used COC indicators, showed independent protective effects on the likelihood of avoidable hospitalization in three comorbidity groups., Conclusion: The duration of interaction between patients and physicians is an independent domain in measuring COC and has a significant effect on health care outcomes., (© 2023. The Author(s).)

Numerous studies have investigated the relationship between continuity of care (COC) and patient satisfaction. However, COC and patient satisfaction were measured simultaneously; therefore, the direction of causality remains understudied. This study examined the effect of COC on the patient satisfaction of elderly individuals using an instrumental variable (IV) approach. Nationwide survey data acquired using a face-to-face interview were used to measure the patient-reported COC experiences of 1,715 participants. We applied an ordered logit model controlled for observed patient characteristics and a two-stage residual inclusion (2SRI) ordered logit model that accounted for unobserved confounding factors. Patient-perceived COC importance was used as an IV for patient-reported COC. The ordered logit models indicated that patients with high or intermediate patient-reported COC scores were more likely to perceive more patient satisfaction than those with low COC scores. Using the patient-perceived COC importance as an IV, we examined a strong significant association between the level of patient-reported COC and patient satisfaction. It is necessary to adjust for unobserved confounders to obtain more accurate estimates of the relationship between patient-reported COC and patient satisfaction. However, the results and policy implications of this study should be cautiously interpreted because the possibility of other bias could not be ruled out. These findings support policies aimed at improving patient-reported COC among older adults., Competing Interests: Conflict of Competing interest No conflict of interest for all authors, (Copyright © 2023 Elsevier B.V. All rights reserved.)

Both care continuity and care coordination are important features of the health care system. However, little is known about the relationship between care continuity and care coordination, their effects on hospitalizations, and whether these effects vary across patients with various levels of comorbidity. This study employed a panel study design with a 3-year follow-up from 2007 to 2011 in Taiwan's universal health coverage system. Patients aged 18 years or older who were newly diagnosed with diabetes in 2007 were included in the study. We found that the correlation between care continuity and care coordination was low. Patients with higher levels of care continuity or care coordination were less likely to experience hospitalization for diabetes-related conditions. Furthermore, both care continuity and care coordination showed stronger effects for patients with higher comorbidity scores. Improving care continuity and coordination for patients with multiple chronic conditions is the right direction for policymakers.

Objectives: Recent studies have revealed significant variation in medication adherence among patients with chronic conditions. Little is known about the effect of continuity of care (COC) on changes in medication adherence. This study aims to identify medication adherence trajectories among patients with newly diagnosed diabetes, as well as to examine the association of COC and medication adherence among various adherence trajectories., Methods: This study utilized a longitudinal design with a 6-year follow-up, from 2002 to 2008, under a universal health insurance program in Taiwan. Subjects 18 years or older with type 2 diabetes that was newly diagnosed in 2002 were included in the study. The main outcome was medication adherence measured by medication possession ratio each year. Group-based trajectory models were used for analysis., Results: Four medication adherence trajectories were identified: persistent adherence (39.9%), increasing adherence (27.5%), decreasing adherence (12.0%), and nonadherence (20.6%). Patients with high or medium COC index scores were more likely to be adherent to medications than those with low COC index scores in all of the trajectory adherence groups., Conclusions: This study demonstrated the heterogeneity in patients' medication adherence and identified 4 distinct trajectories of medication adherences among those with newly diagnosed type 2 diabetes. Improving COC may lead to better medication adherence in all of the adherence trajectory groups.

Background: The effects of continuity of care on health care outcomes are well documented. However, little is known about the effect of continuity at the physician or the site level on the process of care for patients with multiple chronic conditions (MCCs)., Objective: The objective of this study was to examine the effects of physician continuity versus site continuity on duplicated medications received by patients with and without MCCs., Research Design and Subjects: This study utilized a longitudinal design with an 8-year follow-up from 2004 to 2011 of patients aged 65 or older under a universal health insurance program in Taiwan (55,573 subjects and 389,011 subject-years). Generalized estimating equation models with propensity score method were conducted to assess the association between continuity and medication duplication., Results: The rates of subjects receiving duplicated medications ranged from 40.38% to 43.50% with 1.45-1.62 duplicated medications during the study period. The findings revealed that better continuity, either at the physician level or the site level, was significantly associated with fewer duplicated medications. This study also indicated that the physician continuity had a stronger effect on medication duplication than did site continuity. Furthermore, the magnitude of the protective effect of continuity against duplicated medications increased when the patients had more chronic conditions [physician continuity: the marginal effect ranged from -10.7% to -52.9% (all P<0.001); site continuity: the marginal effect ranged from -0.4% (P=0.063) to -31.4% (P<0.001)]., Conclusion: Improving either physician continuity or site continuity may result in fewer duplicated medications, particularly for patients with MCCs.

Background: The effects of continuity of care (COC) on health care outcomes are well established. However, the mechanism of this association is not fully understood., Objective: The objective of this study was to examine the relationship between COC and medication adherence, as well as to investigate the mediating effect of medication adherence on the association between COC and health care outcomes, in patients with newly diagnosed type 2 diabetes., Research Design and Subjects: This study utilized a longitudinal design and included a 7-year follow-up period from 2002 to 2009 under a universal health insurance program in Taiwan. Patients aged 18 years or older who were first diagnosed with type 2 diabetes in 2002 were included in the study. Random intercept models were conducted to assess the temporal relationship between COC, medication adherence, and health care outcomes., Results: Patients with high or intermediate COC scores were more likely to be adherent to medications than those with low COC scores [odds ratio (OR), 3.37; 95% confidence interval (CI), 3.15-3.60 and OR, 1.84; 95% CI, 1.74-1.94, respectively]. In addition, the association between COC and health care outcomes was partly mediated by better medication adherence in patients with newly diagnosed type 2 diabetes., Conclusions: Improving the COC for patients with type 2 diabetes may result in higher medication adherence and better health care outcomes.

Background: Better continuity of care (COC) is associated with improved health care outcomes, such as decreased hospitalization and emergency department visit. However, little is known about the effect of COC on potentially inappropriate medication., Objectives: This study aimed to investigate the association between COC and the likelihood of receiving inappropriate medication, and to examine the existence of a mediating effect of inappropriate medication on the relationship between COC and health care outcomes and expenses., Methods: A longitudinal analysis was conducted using claim data from 2004 to 2009 under universal health insurance in Taiwan. Participants aged 65 years and older were categorized into 3 equal tertiles by the distribution of COC scores. This study used a propensity score matching approach to assign subjects to 1 of 3 COC groups to increase the comparability among groups. Generalized estimating equations were used to examine the association between COC, potentially inappropriate medication, and health care outcomes and expenses., Results: The results revealed that patients with the best COC were less likely to receive drugs that should be avoided [odd ratios (OR), 0.44; 95% confidence interval (CI), 0.43-0.45) or duplicated medication (OR, 0.22; 95% CI, 0.22-0.23) than those with the worst COC. The findings also indicated that potentially inappropriate medication was a partial mediator in the association between COC and health care outcomes and expenses., Conclusion: Better COC is associated with fewer negative health care outcomes and lower expenses, partially through the reduction of potentially inappropriate medication. Improving COC deserves more attention in future health care reforms.

Objective: To examine the effects of continuity of care on healthcare utilization and expenses for patients with diabetes mellitus., Study Design: Longitudinal study based on claims data., Methods: Data on healthcare utilization and expenses from a 7-year period (2000-2006) were gathered from claims data of the Taiwanese universal health insurance system. The continuity of care index (COCI) was analyzed, and the values were classified into 3 levels. Outcome variables included the likelihood of hospitalization and emergency department visit, pharmaceutical expenses for diabetes-related conditions, and total healthcare expenses for diabetes-related conditions. A generalized estimating equation that considered the effects of repeated measures for the same patients was applied to examine the effects of continuity of care on healthcare utilization and expenses., Results: Compared with patients who had low COCI scores, patients with high or medium COCI scores were less likely to be hospitalized for diabetes related conditions (odds ratio [OR] 0.26, 95% confidence interval [CI] 0.25, 0.27, and OR 0.58, 95% CI 0.56, 0.59, respectively) or to have diabetes-related emergency department visits (OR 0.34, 95% CI 0.33, 0.36, and OR 0.64, 95% CI 0.62, 0.66, respectively). Patients with low COCI scores incurred $126 more in pharmaceutical expenses than patients with high COCI scores. Furthermore, patients with high COCI scores had greater savings ($737) in total healthcare expenses for diabetes-related conditions than patients with low COCI scores., Conclusion: Better continuity of care was associated with less healthcare utilization and lower healthcare expenses for diabetic patients. Improving continuity of care might benefit diabetic patients.

Introduction: Numerous studies have suggested that better continuity of care (COC) can lead to fewer emergency department (ED) visits and fewer hospital admissions. However, these studies were conducted in countries where patients have their own family physician or in countries with referral systems. This study aimed to determine whether the association between lower COC and increased health care utilization may be apparent in a health care system that lacks a family physician or a referral system., Methods: The study population included a total of 134 422 subjects who made four or more visits to physicians in 2005. Negative binominal regressions were performed to examine the effects of three different COC indices on the numbers of hospital admissions and ED visits in 2005 and in the subsequent year (2006)., Results: The data suggest that lower COC was associated with increased hospital admissions and ED visits in our study population. Compared with the high COC group, subjects in the low and medium COC groups had 42-82% and 39-46% more hospital admissions, respectively, as well as 75-102% and 41-45% more ED visits, respectively, in 2005. Weaker protective effects of COC were also observed in the subsequent year., Conclusions: This study indicates that lower COC is associated with increased hospital admissions and ED visits, even in a health care system that lacks a referral arrangement framework. This suggests that improving the COC is beneficial both for patients and for the health care system.

Background: Few studies have examined the effect of continuity of care on avoidable hospitalization, and the results have been inconclusive. This study aimed to examine the effects of continuity of care on avoidable hospitalization and hospital admission for any condition in a health care system with a high level of access to care., Methods: We used a longitudinal design to examine claims data that captured health care utilization between January 1, 2000, and December 31, 2006, under a universal coverage health insurance program in Taiwan. In total, 30 830 randomly selected subjects with 3 or more physician visits per year between 2000 and 2006 were analyzed in 3 age groups. The main outcome was avoidable hospitalization and hospital admission for any condition. A random intercept logistic regression model was used to control for age, sex, low-income status, health status, time effect, and random subject effect., Results: Higher continuity of care was significantly associated with lower likelihood of avoidable hospitalization in all 3 age groups. Similar associations were found for hospital admission for any condition in the 3 age groups., Conclusions: Better continuity of care is associated with fewer avoidable hospitalizations and fewer hospital admissions for any condition in a health care system with easy access to care. Therefore, improvement of continuity of care is an appropriate path to follow in a universal coverage health care system.