Evaluation of a Follow-Up Health Consultation Program for Patients with Coronavirus Disease 2019 in Korea: Using the Context–Input–Process–Product Model
Abstract
:1. Introduction
2. Methods and Materials
2.1. The Follow-up Health Consultation Program
2.2. Program Evaluation Questionnaire
2.3. Statistical Analysis
3. Results
3.1. Demographics
3.2. Doctors’ Evaluations
3.3. Patients’ Evaluations
3.4. Correlation of Evaluation Areas
3.5. Open-Ended Responses
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Lewnard, J.A.; Lo, N.C. Scientific and Ethical Basis for Social-Distancing Interventions Against COVID-19. Lancet Infect. Dis. 2020, 20, 631–633. [Google Scholar] [CrossRef] [Green Version]
- Koh, W.C.; Naing, L.; Wong, J. Estimating the Impact of Physical Distancing Measures in Containing COVID-19: An Empirical Analysis. Int. J. Infect. Dis. 2020, 100, 42–49. [Google Scholar] [CrossRef] [PubMed]
- Thunström, L.; Newbold, S.C.; Finnoff, D.; Ashworth, M.; Shogren, J.F. The Benefits and Costs of Using Social Distancing to Flatten the Curve for COVID-19. J. Benefit Cost Anal. 2020, 11, 179–195. [Google Scholar] [CrossRef]
- Torales, J.; O’Higgins, M.; Castaldelli-Maia, J.M.; Ventriglio, A. The Outbreak of COVID-19 Coronavirus and Its Impact on Global Mental Health. Int. J. Soc. Psychiatry 2020, 66, 317–320. [Google Scholar] [CrossRef] [Green Version]
- Stevens, A. Governments Cannot Just “Follow the Science” on COVID-19. Nat. Hum. Behav. 2020, 4, 560. [Google Scholar] [CrossRef]
- Kim, J.Y.; Lee, Y.M.; Lee, H.; Kim, J.W.; Kim, S.W. Epidemiological Characteristics of a COVID-19 Outbreak Caused by Religious Activities in Daegu, Korea. Epidemiol. Health 2021, 43, e2021024. [Google Scholar] [CrossRef]
- Kang, H.S.; Kim, B.N. The Role of Event-Related Rumination and Perceived Social Support on Psychological Distress during the COVID-19 Pandemic: Results from Greater Daegu Region in South Korea. Psychiatry Investig. 2021, 18, 392–399. [Google Scholar] [CrossRef]
- Lee, Y.; Kim, B.W.; Kim, S.W.; Son, H.; Park, B.; Lee, H.; You, M.; Ki, M. Precautionary Behavior Practices and Psychological Characteristics of COVID-19 Patients and Quarantined Persons. Int. J. Environ. Res. Public Health 2021, 18, 6070. [Google Scholar] [CrossRef]
- Lee, K.M.; Ko, H.J.; Lee, G.H.; Kim, A.S.; Lee, D.W. A Well-Structured Follow-up Program Is Required After Recovery from Coronavirus Disease 2019 (COVID-19); Release from Quarantine Is Not the End of Treatment. J. Clin. Med. 2021, 10, 2329. [Google Scholar] [CrossRef]
- Kim, Y.A.; Lee, G.H.; Lee, K.M.; Ko, H.J.; Lee, D.; Kim, A.S. Communication and Cooperation Between the Medical Academy, Medical Association, and Local Government: Health Counseling Program after Recovery from Coronavirus Disease 2019 (COVID-19) in Daegu. Front. Public Health 2020, 8, 563757. [Google Scholar] [CrossRef]
- Abadie, A.; Cattaneo, M.D. Econometric Methods for Program Evaluation. Annu. Rev. Econ. 2018, 10, 465–503. [Google Scholar] [CrossRef] [Green Version]
- Stufflebeam, D.L. The Relevance of the CIPP Evaluation Model for Educational Accountability. SRIS Quart. 1972, 5. [Google Scholar]
- Stufflebeam, D.L. The CIPP Model for Program Evaluation. In Evaluation Models; Madaus, G.F., Scriven, M., Stufflebeam, D.L., Eds.; Kluwer Publishers—Nijhoff: Boston, MA, USA, 1983; pp. 117–141. [Google Scholar]
- Stufflebeam, D.L. The CIPP Model for Evaluation. In Evaluation Models, 2nd ed.; Stufflebeam, D.L., Madaus, G.F., Kellaghan, T., Eds.; Kluwer Academic Publishers: Boston, MA, USA, 2000; pp. 279–317. [Google Scholar]
- Lee, M.P. Vocational Competency Development Education Program Evaluation and Educational Needs Survey Through CIPP Evaluation Model: The Case of K1 Educational Institution. Int. J. Adult Contin. Educ. 2012, 15, 173–203. [Google Scholar]
- Oche, M.; Adamu, H. Determinants of Patient Waiting Time in the General Outpatient Department of a Tertiary Health Institution in Northwestern Nigeria. Ann. Med. Health Sci. Res. 2013, 3, 588–592. [Google Scholar] [CrossRef] [Green Version]
- Chunara, R.; Zhao, Y.; Chen, J.; Lawrence, K.; Testa, P.A.; Nov, O.; Mann, D.M. Telemedicine and Healthcare Disparities: A Cohort Study in a Large Healthcare System in New York City During COVID-19. J. Am. Med. Inform. Assoc. 2021, 28, 33–41. [Google Scholar] [CrossRef]
- Dawson, D.L.; Golijani-Moghaddam, N. COVID-19: Psychological Flexibility, Coping, Mental Health, and Wellbeing in the UK during the Pandemic. J. Contextual Behav. Sci. 2020, 17, 126–134. [Google Scholar] [CrossRef]
- Carriedo, A.; Cecchini, J.A.; Fernandez-Rio, J.; Méndez-Giménez, A. COVID-19, Psychological Well-Being and Physical Activity Levels in Older Adults during the Nationwide Lockdown in Spain. Am. J. Geriatr. Psychiatry 2020, 28, 1146–1155. [Google Scholar] [CrossRef]
- Holingue, C.; Kalb, L.G.; Riehm, K.E.; Bennett, D.; Kapteyn, A.; Veldhuis, C.B.; Johnson, R.M.; Fallin, M.D.; Kreuter, F.; Stuart, E.A.; et al. Mental Distress in the United States at the Beginning of the COVID-19 Pandemic. Am. J. Public Health 2020, 110, 1628–1634. [Google Scholar] [CrossRef] [PubMed]
- Wang, C.; Tee, M.; Roy, A.E.; Fardin, M.A.; Srichokchatchawan, W.; Habib, H.A.; Tran, B.X.; Hussain, S.; Hoang, M.T.; Le, X.T.; et al. The Impact of COVID-19 Pandemic on Physical and Mental Health of Asians: A Study of Seven Middle-Income Countries in Asia. PLoS ONE 2021, 16, e0246824. [Google Scholar] [CrossRef]
- Duan, L.; Zhu, G. Psychological Interventions for People Affected by the COVID-19 Epidemic. Lancet Psychiatary 2020, 7, 300–302. [Google Scholar] [CrossRef]
- Kim, B.H. The Evaluation of Day Care Center In-Service Education Program Using the CIPP Evaluation Model. J. Korea Acad. Ind. Coop. Soc. 2018, 19, 270–278. [Google Scholar]
- Mohebbi, N.; Akhlaghi, F.; Yarmohammadian, M.H.; Khoshgam, M. Application of CIPP Model for Evaluating the Medical Records Education Course at Master of Science Level at Iranian Medical Sciences Universities. Procedia Soc. Behav. Sci. 2011, 15, 3286–3290. [Google Scholar] [CrossRef] [Green Version]
- Zhang, G.; Zeller, N.; Griffith, R.; Metcalf, D.; Williams, J.; Shea, C.; Misulis, K. Using the Context, Input, Process, and Product Evaluation Model (CIPP) as a Comprehensive Framework to Guide the Planning, Implementation, and Assessment of Service-Learning Programs. J. Higher Educ. Outreach Engagem. 2011, 15, 57–84. [Google Scholar]
CIPP Area | Content | Number of Questions | Reliability * |
---|---|---|---|
Context | Goal | 3 | 0.859 |
Input | Resources (e.g., medical resources) | 2 | 0.813 |
Process | Operation of program | 4 | 0.811 |
Burden of work | |||
Product (Output) | Effectiveness | 3 | 0.893 |
Satisfaction | |||
Impact of the program | |||
Positive and negative outcomes | Open-ended questions |
CIPP Area | Content | Number of Questions | Reliability * |
---|---|---|---|
Context | Goal | 1 | N/A |
Input | Resources (e.g., medical resources) | 3 | 0.716 |
Process | Operation of program | 4 | 0.859 |
Product (Output) | Satisfaction | 5 | 0.807 |
Effectiveness | |||
Impact of program | |||
Positive and negative outcomes | Open-ended questions |
Doctors (n = 20) | Mean ± SD/n (%) |
---|---|
Age | 45.10 ± 5.73 |
Work experience, years | 14.15 ± 6.58 |
Sex | |
Male | 14 (70) |
Female | 6 (30) |
Workplace/type | |
Teaching hospital | 6 (30.0) |
Local hospital | 3 (15.0) |
Group practice | 2 (10.0) |
Individual practice | 9 (45.0) |
Phone consultation time, min | |
<10 | 8 (40.0) |
11–20 | 12 (60.0) |
21–30 | 0 (0.0) |
>31 | 0 (0.0) |
Patients (n = 504) | |
Age | 40.79 ±14.95 |
Sex | |
Male | 121 (29.7) |
Female | 287 (70.3) |
Family composition | |
Single | 83 (20.3) |
Married | 70 (17.2) |
≥2 generations together | 190 (46.6) |
Other | 65 (15.9) |
Comorbidities | |
None | 315 (77.2) |
1 | 70 (17.2) |
>2 | 23 (5.6) |
Hospitalization | |
Inpatient facility | 207 (50.7) |
Medical institution | 212 (52.0) |
Intensive care unit | 12 (2.9) |
Other | 22 (16.2) |
Quarantine period, days | |
1–7 | 32 (7.8) |
8–14 | 109 (26.7) |
15–21 | 125 (30.6) |
22–28 | 76 (18.6) |
>29 | 66 (16.2) |
Area | Content | Evaluation items | Score * |
---|---|---|---|
Context | Goal | Clarity of goal | 4.00 ± 0.89 |
Validity of goal | 4.30 ± 0.56 | ||
Possibility of achieving goals | 3.75 ± 0.43 | ||
Input | Medical resources | Adequacy of allotment | 3.65 ± 0.91 |
Supplies | Usefulness of support items (educational brochure, face mask) | 4.20 ± 0.75 | |
Process | Operation of program | Responsiveness to calls | 4.00 ± 0.71 |
Responsiveness to consultations | 3.75 ± 0.62 | ||
Impediments | Degree of disruption to main work | 3.75 ± 0.62 | |
Degree of disturbance outside of work | 3.35 ± 0.96 | ||
Product (output) | Effectiveness | Program effectiveness | 4.00 ± 0.45 |
Satisfaction | Satisfaction with the program as a doctor | 4.00 ± 0.55 | |
Impact of program | Achievement of program goals | 3.80 ± 0.60 |
Area | Content | Evaluation Items | Score * |
---|---|---|---|
Context | Goal | Informed of the program’s purpose | 4.22 ± 0.77 |
Input | Medical resources | Expertise of the doctors | 4.10 ± 0.83 |
Supplies | Usefulness of support items (educational brochure) | 3.74 ± 0.95 | |
Usefulness of support items (face mask) | 3.92 ± 1.08 | ||
Process | Operation of program | Responsiveness to calls | 3.99 ± 0.86 |
Appropriate consultation time | 4.03 ± 0.87 | ||
Easy-to-understand explanations from doctors | 4.24 ± 0.75 | ||
Timeliness of support items (educational brochure, mask) | 3.64 ± 1.15 | ||
Product (output) | Effectiveness | Program effectiveness | 3.95 ± 0.91 |
Satisfaction | Satisfaction with phone consultation | 4.10 ± 0.86 | |
Satisfaction with educational brochure | 3.89 ± 0.87 | ||
Satisfaction with program | 3.86 ± 0.94 | ||
Impact of program | Achievement of program goals | 3.91 ± 0.90 |
Area | β ± SE | p-Value * | R2 |
---|---|---|---|
Context | 0.09 ± 0.06 | 0.456 | 0.71 |
Input | 0.31 ± 0.11 | < 0.001 | |
Process | 0.15 ± 0.09 | < 0.001 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Lee, K.-M.; Ko, H.-J.; Lee, G.H.; Kim, Y.-A.; Jung, S.-P.; Kim, A.-S. Evaluation of a Follow-Up Health Consultation Program for Patients with Coronavirus Disease 2019 in Korea: Using the Context–Input–Process–Product Model. Int. J. Environ. Res. Public Health 2022, 19, 7996. https://doi.org/10.3390/ijerph19137996
Lee K-M, Ko H-J, Lee GH, Kim Y-A, Jung S-P, Kim A-S. Evaluation of a Follow-Up Health Consultation Program for Patients with Coronavirus Disease 2019 in Korea: Using the Context–Input–Process–Product Model. International Journal of Environmental Research and Public Health. 2022; 19(13):7996. https://doi.org/10.3390/ijerph19137996
Chicago/Turabian StyleLee, Keun-Mi, Hae-Jin Ko, Geon Ho Lee, Yun-A Kim, Seung-Pil Jung, and A-Sol Kim. 2022. "Evaluation of a Follow-Up Health Consultation Program for Patients with Coronavirus Disease 2019 in Korea: Using the Context–Input–Process–Product Model" International Journal of Environmental Research and Public Health 19, no. 13: 7996. https://doi.org/10.3390/ijerph19137996
APA StyleLee, K. -M., Ko, H. -J., Lee, G. H., Kim, Y. -A., Jung, S. -P., & Kim, A. -S. (2022). Evaluation of a Follow-Up Health Consultation Program for Patients with Coronavirus Disease 2019 in Korea: Using the Context–Input–Process–Product Model. International Journal of Environmental Research and Public Health, 19(13), 7996. https://doi.org/10.3390/ijerph19137996