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"Continuity of Patient Care"

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"Continuity of Patient Care"

Original Articles
Effects of the COVID-19 Pandemic on the Medical Use of Elderly Patients with Hypertension: A Nationwide Cohort Study in Korea
Eunbyul Cho, Sujeong Han, Jae-ryun Lee, Hyejin Lee, Bumjo Oh
Korean J Fam Med 2024;45(5):283-289.   Published online March 4, 2024
DOI: https://doi.org/10.4082/kjfm.23.0129
Background
The coronavirus disease 2019 (COVID-19) pandemic has disrupted healthcare services, including chronic disease management, for vulnerable groups, such as older individuals with hypertension. This study aimed to evaluate hypertension management in South Korea’s elderly population during the pandemic using treatment consistency indices such as the continuity of care (COC), modified, modified continuity index (MMCI), and most frequent provider continuity (MFPC).
Methods
This study used the Korea Disease Control and Prevention Agency-COVID-19-National Health Insurance Service cohort (K-COV-N cohort) from the National Health Insurance Service between 2017 and 2021. The research included a total of 4,097,299 hypertensive patients aged 65 years or older. We defined 2018 and 2019 as the baseline period before the COVID-19 pandemic and 2020 and 2021 as the COVID-19 period and calculated the indices of medical continuity (number of visits, COC, MMCI, and MFPC) on a yearly basis.
Results
The number of visits decreased during the COVID-19 period compared to the baseline period (59.64±52.75 vs. 50.49±50.33, P<0.001). However, COC, MMCI, and MFPC were not decreased in the baseline period compared to the COVID-19 period (0.71±0.21 vs. 0.71±0.22, P<0.001; 0.97±0.05 vs. 0.96±0.05, P<0.001; 0.8±0.17 vs. 0.8±0.17, P<0.001, respectively).
Conclusion
COVID-19 had no significant impact on the continuity of care but affected the frequency of outpatient visits for older patients with hypertension. However, this study highlights the importance of addressing healthcare inequalities, especially in older patients with hypertension, during pandemics and advocates for policy changes to ensure continued care for vulnerable populations.

Citations

Citations to this article as recorded by  
  • Reflecting on progress and challenges: the Korean Journal of Family Medicine in 2024
    Seung-Won Oh
    Korean Journal of Family Medicine.2025; 46(2): 55.     CrossRef
  • The impact of the COVID-19 Pandemic on hypertension phenotypes (ESH ABPM COVID-19 study)
    Aleksandra Ostrowska, Wiktoria Wojciechowska, Marek Rajzer, Thomas Weber, Michael Bursztyn, Alexandre Persu, George Stergiou, Grzegorz Kiełbasa, Marzena Chrostowska, Michaelis Doumas, Gianfranco Parati, Grzegorz Bilo, Guido Grassi, Giuseppe Mancia, Andrze
    European Journal of Internal Medicine.2024;[Epub]     CrossRef
  • 4,846 View
  • 80 Download
  • 1 Web of Science
  • 2 Crossref
Analysis of Continuity of Care and Its Related Factors in Diabetic Patients: A Cross-Sectional Study
Ji Yeh Shin, Ha Jin Kim, BeLong Cho, Yun Jun Yang, Jae Moon Yun
Korean J Fam Med 2022;43(4):246-253.   Published online July 19, 2022
DOI: https://doi.org/10.4082/kjfm.21.0145
Background
Continuity of care in primary care settings is crucial for managing diabetes. We aimed to statistically define and analyze continuity factors associated with demographics, clinical workforce, and geographical relationships.
Methods
We used 2014–2015 National Health Insurance Service claims data from the Korean registry, with 39,096 eligible outpatient attendance. We applied multivariable logistic regression to analyze factors that may affect the continuity of care indices for each patient: the most frequent provider continuity index (MFPCI), modified-modified continuity index (MMCI), and continuity of care index (COCI).
Results
The mean continuity of care indices were 0.90, 0.96, and 0.85 for MFPCI, MMCI and COCI, respectively. Among patient factors, old age >80 years (MFPCI: odds ratio [OR], 0.81; 95% confidence interval [CI], 0.74–0.89; MMCI: OR, 0.84; 95% CI, 0.76–0.92; and COCI: OR, 0.81; 95% CI, 0.74–0.89) and mild disability were strongly associated with lower continuity of care. Another significant factor was the residential area: the farther the patients lived from their primary care clinic, the lower the continuity of diabetes care (MFPCI: OR, 0.74; 95% CI, 0.70–0.78; MMCI: OR, 0.70; 95% CI, 0.66–0.73; and COCI: OR, 0.74; 95% CI, 0.70–0.78).
Conclusion
The geographical proximity of patients’ residential areas and clinic locations showed the strongest correlation as a continuity factor. Further efforts are needed to improve continuity of care to address the geographical imbalance in diabetic care.

Citations

Citations to this article as recorded by  
  • Association of rurality and decreased continuity of care prior to a diagnosis of prediabetes
    Bobbie L. Johannes, Arch G. Mainous, Alex R. Chang, H. Lester Kirchner, G. Craig Wood, Christopher D. Still, Lisa Bailey‐Davis
    The Journal of Rural Health.2025;[Epub]     CrossRef
  • A Systematic Review of Continuity of Care Strategies for Enhancing Diabetes Self-Management in Older Adults in Asian Countries
    Citra Sari, Hartiah Haroen, Neti Juniarti, Lisda Amalia, Jerico Pardosi
    Journal of Multidisciplinary Healthcare.2025; Volume 18: 5441.     CrossRef
  • Evidence of Overlapping Roles Between Clinics and Hospitals in Primary Care
    Boram Sim, Jihye Shin, Hyun Woo Kim, Jin Yong Lee, Min-Woo Jo
    Journal of Korean Medical Science.2025;[Epub]     CrossRef
  • Disease prevention measures applicable to primary healthcare clinics
    Jae-Heon Kang
    Journal of the Korean Medical Association.2024; 67(4): 226.     CrossRef
  • Association between continuity of care and inappropriate prescribing in outpatient care in Germany: a cross-sectional analysis conducted as part of the LoChro trial
    Aline Pfefferle, Nadine Binder, Julia Sauer, Mario Sofroniou, Gloria Metzner, Erik Farin, Sebastian Voigt-Radloff, Andy Maun, Claudia Salm
    BMJ Open.2024; 14(7): e082245.     CrossRef
  • COVID-19 pandemic has disrupted the continuity of care for chronic patients: evidence from a cross-sectional retrospective study in a developing country
    Abbasali Dehghani Tafti, Azadeh Fatehpanah, Ibrahim Salmani, Mohammad Amin Bahrami, Hossien Tavangar, Hossien Fallahzadeh, Ali Ahmadi Tehrani, Sajjad Bahariniya, Gholamreza Ahmadi Tehrani
    BMC Primary Care.2023;[Epub]     CrossRef
  • Evaluating the effect of the COVID-19 pandemic on hypertension and diabetes care in South Korea: an interrupted time series analysis
    Boram Sim, Sunmi Kim, Eun Woo Nam
    BMC Public Health.2023;[Epub]     CrossRef
  • The Impact of Continuity of Care on Health Indicators in Patients With Type 2 Diabetes Mellitus in Family Medicine Clinics in Riyadh
    Ghada Hussein, Aljoharah A Al Saud, Ahmad M Siddiqi, Abdallah Khasawinah, Ahmad Alenezi, Riham A Mohammed, Yaser A Alendijani
    Cureus.2023;[Epub]     CrossRef
  • The Role of Continuity of Care in the Management of Chronic Disease
    Seung-Won Oh
    Korean Journal of Family Medicine.2022; 43(4): 207.     CrossRef
  • 4,809 View
  • 114 Download
  • 9 Web of Science
  • 9 Crossref
Hospital Charges and Continuity of Care for Outpatients with Hypertension in South Korea: A Nationwide Population-Based Cohort Study from 2002 to 2013
Jae-Hyun Kim, Eun-Cheol Park, Tae Hyun Kim, Yunhwan Lee
Korean J Fam Med 2017;38(5):242-248.   Published online September 22, 2017
DOI: https://doi.org/10.4082/kjfm.2017.38.5.242
Background

Continuity of care (COC) has received attention over the past decade. COC has also become increasingly important for hospital managers and policy makers because of competitive health care market conditions. The purpose of this study was to assess the association between hospital charges and patients' continuity of care-assessed by three indices of continuity of care—among outpatients with hypertension in South Korea.

Methods

This study used the National Health Insurance Service–Cohort Sample Database from 2002 to 2013. A total of 247,125 participants were analyzed at baseline (2002); continuity of care was defined using the continuity of care index, the Herfindahl–Hirschman index (a new continuity of care index), and the “most frequent provider continuity” index. Primary analyses were based on the generalized estimating equation regression model, which accounts for correlation among individuals within each hospital.

Results

After adjustment for age, sex, residential region, patient clinical complexity level, diagnosed code, hospital type, organization type, number of beds, number of doctors, and year, there was a negative correlation between hospital charges and continuity of care index (β=−0.163, P<0.0001), the Herfindahl–Hirschman index (β=−0.105, P<0.0001), and the “most frequent provider continuity” index (β=−0.131, P<0.0001). Subgroup analyses based on hospital type produced similar trends.

Conclusion

For all indices studied, hospital charges declined gradually with increasing continuity of care. Our study suggests that long-term, trusting partnerships between patients and physicians reduce hospital costs.

Citations

Citations to this article as recorded by  
  • Continuity of care among people with hypertension and disabilities
    Seeun Park, Hui Won Jeon, Jongwon Lee, Changwoo Lee, Lisa Bratzke, Euichul Shin
    Chronic Illness.2025;[Epub]     CrossRef
  • The Impact of COVID-19 Protocols on the Continuity of Care for Patients with Hypertension
    Seo Yoon Lee, Sung Youn Chun, Hyeki Park
    International Journal of Environmental Research and Public Health.2022; 19(3): 1735.     CrossRef
  • Chronic Disease Management for People With Hypertension
    Woo-Ri Lee, Ki-Bong Yoo, Jiyun Jeong, Jun Hyuk Koo
    International Journal of Public Health.2022;[Epub]     CrossRef
  • Comprehensive Analysis to Uncover Determinants of Patient Appointment Compliance in Ophthalmology at the Kresge Eye Institute, USA
    Alisha Khambati, Lauren Dowell, Jahan Tajran, Daniel Juzych, Sarah Syeda, M Roy Wilson, Mark S Juzych, Ashok Kumar
    Patient Preference and Adherence.2021; Volume 15: 589.     CrossRef
  • Continuity of Care
    Soo Young Kim
    Korean Journal of Family Medicine.2017; 38(5): 241.     CrossRef
  • 5,551 View
  • 49 Download
  • 5 Web of Science
  • 5 Crossref
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