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Abstract

Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis faktor-faktor yang memengaruhi niat pasien dalam mengikuti layanan pasca perawatan dengan menggunakan kerangka teori theory of planned behavior (TPB) yang diperkaya oleh variabel moderasi pengalaman pasien. Data dikumpulkan melalui survei terhadap 124 responden yang telah menjalani rawat inap di Rumah Sakit Sitanala. Analisis data dilakukan menggunakan pendekatan PLS-SEM untuk menguji validitas dan reliabilitas instrumen, serta untuk mengevaluasi hubungan antarvariabel. Hasil menunjukkan bahwa sikap terhadap perilaku, norma subjektif, dan persepsi kontrol perilaku secara signifikan berpengaruh positif terhadap niat berpartisipasi, dengan persepsi kontrol perilaku memiliki pengaruh paling kuat. Selain itu, pengalaman pasien terbukti secara signifikan memoderasi hubungan antara persepsi kontrol perilaku dan niat pasien. Temuan ini memberikan implikasi penting bagi penyedia layanan kesehatan dalam merancang strategi untuk meningkatkan partisipasi pasien pada program pasca perawatan.

Keywords

Niat Berpartisipasi; Theory Of Planned Behavior; Pengalaman Pasien, Persepsi Kontrol Perilaku; Layanan Pasca Perawatan

Article Details

References

  1. Adams, C., Harrison, R., & Wolf, J. A. (2024). The Evolution of Patient Experience: From Holistic Care to Human Experience. In Patient Experience Journal (Vol. 11, Issue 1, pp. 4–13). The Beryl Institute. https://doi.org/10.35680/2372-0247.1947
  2. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
  3. Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314–324. https://doi.org/10.1002/hbe2.195
  4. Akinleye, D. D., McNutt, L. A., Lazariu, V., & McLaughlin, C. C. (2019). Correlation between hospital finances and quality and safety of patient care. In PLoS ONE (Vol. 14, Issue 8). Public Library of Science. https://doi.org/10.1371/journal.pone.0219124
  5. Avlijas, T., Squires, J. E., Lalonde, M., & Backman, C. (2023). A concept analysis of the patient experience. Patient Experience Journal, 10(1), 15–63. https://doi.org/10.35680/2372-0247.1439
  6. Barbera, F. La, & Ajzen, I. (2020). Control interactions in the theory of planned behavior: Rethinking the role of subjective norm. Europe’s Journal of Psychology, 16(3), 401–417. https://doi.org/10.5964/ejop.v16i3.2056
  7. Baryakova, T. H., Pogostin, B. H., Langer, R., & McHugh, K. J. (2023). Overcoming barriers to patient adherence: the case for developing innovative drug delivery systems. In Nature Reviews Drug Discovery (Vol. 22, Issue 5, pp. 387–409). Nature Research. https://doi.org/10.1038/s41573-023-00670-0
  8. Bastani, P., Javanbakht, M., & Ravangard, R. (2019). Predicting the Potential Patients’ Intention to Select Healthcare Service Providers: Application of Structural Equation Modeling Based on the Theory of Planned Behavior. The Open Public Health Journal, 12(1), 472–481. https://doi.org/10.2174/1874944501912010472
  9. Bhandari, N., Epane, J., Reeves, J., Cochran, C., & Shen, J. (2022). Post-Discharge Transitional Care Program and Patient Compliance With Follow-Up Activities. Journal of Patient Experience, 9. https://doi.org/10.1177/23743735221086756
  10. Bhati, D., Deogade, M. S., & Kanyal, D. (2023). Improving Patient Outcomes Through Effective Hospital Administration: A Comprehensive Review. Cureus. https://doi.org/10.7759/cureus.47731
  11. Bombard, Y., Baker, G. R., Orlando, E., Fancott, C., Bhatia, P., Casalino, S., Onate, K., Denis, J. L., & Pomey, M. P. (2018). Engaging patients to improve quality of care: A systematic review. In Implementation Science (Vol. 13, Issue 1). BioMed Central Ltd. https://doi.org/10.1186/s13012-018-0784-z
  12. Chakrabarti, S. (2014). What’s in a name? Compliance, adherence and concordance in chronic psychiatric disorders. World Journal of Psychiatry, 4(2), 30. https://doi.org/10.5498/wjp.v4.i2.30
  13. Cvetanovska, N., Jessup, R. L., Wong Shee, A., Rogers, S., & Beauchamp, A. (2023). Patients’ perspectives of factors influencing active participation in healthcare interactions: A qualitative study. Patient Education and Counseling, 114. https://doi.org/10.1016/j.pec.2023.107808
  14. Doyle, C., Lennox, L., & Bell, D. (2013). A systematic review of evidence on the links between patient experience and clinical safety and effectiveness. 3, 1570. https://doi.org/10.1136/bmjopen-2012
  15. Friedel, A. L., Siegel, S., Kirstein, C. F., Gerigk, M., Bingel, U., Diehl, A., Steidle, O., Haupeltshofer, S., Andermahr, B., Chmielewski, W., & Kreitschmann-Andermahr, I. (2023). Measuring Patient Experience and Patient Satisfaction—How Are We Doing It and Why Does It Matter? A Comparison of European and U.S. American Approaches. In Healthcare (Switzerland) (Vol. 11, Issue 6). MDPI. https://doi.org/10.3390/healthcare11060797
  16. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis. In Vectors. https://doi.org/10.1016/j.ijpharm.2011.02.019
  17. Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021a). Evaluation of Reflective Measurement Models (pp. 75–90). https://doi.org/10.1007/978-3-030-80519-7_4
  18. Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021b). Evaluation of the Structural Model (pp. 115–138). https://doi.org/10.1007/978-3-030-80519-7_6
  19. Handiyani, H., Kurniawan, M. H., Hariyati, R. T. S., & Nuraini, T. (2024). Post-discharge Follow-up Care: Nurses’ Experience of Fostering Continuity of Care: A Qualitative Study. The Open Nursing Journal, 18(1). https://doi.org/10.2174/0118744346284419240205145438
  20. Hanefeld, J., Powell-Jackson, T., & Balabanova, D. (2017). Appréhender et évaluer la qualité des soins: Composer avec la complexité. Bulletin of the World Health Organization, 95(5), 368–374. https://doi.org/10.2471/BLT.16.179309
  21. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
  22. Hsu, S.-H., Tang, K.-P., Lin, C.-H., Chen, P.-C., & Wang, L.-H. (2023). Applying the theory of planned behavior to investigate type 2 diabetes patients’ intention to receive injection therapy. Frontiers in Public Health, 11. https://doi.org/10.3389/fpubh.2023.1066633
  23. Keelson, S. A., Addo, J. O., & Amoah, J. (2024). The impact of patient engagement on service quality and customer well-being: an introspective analysis from the healthcare providers’ perspective. Cogent Public Health, 11(1). https://doi.org/10.1080/27707571.2024.2340157
  24. Kock, N. (2021). Harman’s single factor test in PLS-SEM: Checking for common method bias. In Data Analysis Perspectives Journal (Vol. 2, Issue 2). https://www.scriptwarp.com,
  25. Mamun, A. Al, Rahman, M. K., Munikrishnan, U. T., & Permarupan, P. Y. (2021). Predicting the Intention and Purchase of Health Insurance Among Malaysian Working Adults. SAGE Open, 11(4). https://doi.org/10.1177/21582440211061373
  26. Martinsen, M. I., de Lima, M. E. B., & Rudolph, A. M. (2024). Discharge and Post-hospital Care. In K. Hertz & J. Santy-Tomlinson (Eds.), Fragility Fracture and Orthogeriatric Nursing : Holistic Care and Management of the Fragility Fracture and Orthogeriatric Patient (pp. 253–269). Springer International Publishing. https://doi.org/10.1007/978-3-031-33484-9_16
  27. Marzban, S., Najafi, M., Agolli, A., & Ashrafi, E. (2022). Impact of Patient Engagement on Healthcare Quality: A Scoping Review. Journal of Patient Experience, 9. https://doi.org/10.1177/23743735221125439
  28. McDonall, J., De Steiger, R., Reynolds, J., Redley, B., Livingston, P., & Botti, M. (2016). Patient participation in postoperative care activities in patients undergoing total knee replacement surgery: Multimedia Intervention for Managing patient Experience (MIME). Study protocol for a cluster randomised crossover trial. BMC Musculoskeletal Disorders, 17(1). https://doi.org/10.1186/s12891-016-1133-5
  29. Mir, T. H. (2023). Adherence Versus Compliance. HCA Healthcare Journal of Medicine, 4(2). https://doi.org/10.36518/2689-0216.1513
  30. Oktavianus, J., & Bautista, J. R. (2023). Motivating healthcare professionals to correct online health misinformation: The roles of subjective norm, third-person perception, and channel differences. Computers in Human Behavior, 147. https://doi.org/10.1016/j.chb.2023.107839
  31. Panahi, S., Rathi, N., Hurley, J., Sundrud, J., Lucero, M., & Kamimura, A. (2022). Patient Adherence to Health Care Provider Recommendations and Medication among Free Clinic Patients. Journal of Patient Experience, 9. https://doi.org/10.1177/23743735221077523
  32. Paul, B., Kirubakaran, R., Isaac, R., Dozier, M., Grant, L., & Weller, D. (2023). A systematic review of the theory of planned behaviour interventions for chronic diseases in low health-literacy settings. Journal of Global Health, 13. https://doi.org/10.7189/JOGH.13.04079
  33. Peters, R. M., & Templin, T. N. (2010). Theory of planned behavior, self-care motivation, and blood pressure self-care. Research and Theory for Nursing Practice, 24(3), 172–186. https://doi.org/10.1891/1541-6577.24.3.172
  34. Pourmand, G., Doshmangir, L., Ahmadi, A., Noori, M., Rezaeifar, A., Mashhadi, R., Aziminia, R., Pourmand, A., & Gordeev, V. S. (2020). An application of the theory of planned behavior to self-care in patients with hypertension. BMC Public Health, 20(1). https://doi.org/10.1186/s12889-020-09385-y
  35. Putri, S. I., Suryoputro, A., & Kusumastuti, W. (2023). Penerapan teori planned behavior dalam pemanfaatan layanan PSC 119 Si Slamet Batang pada kasus kecelakaan lalu lintas. Media Kesehatan Masyarakat Indonesia, 22(1), 28–34. https://doi.org/10.14710/mkmi.22.1.28-34
  36. Rajeh, M. T. (2022). Modeling the theory of planned behavior to predict adults’ intentions to improve oral health behaviors. BMC Public Health, 22(1). https://doi.org/10.1186/s12889-022-13796-4
  37. St Quinton, T., Morris, B., & Trafimow, D. (2021). Untangling the Theory of Planned Behavior’s auxiliary assumptions and theoretical assumptions: Implications for predictive and intervention studies. In New Ideas in Psychology (Vol. 60). Elsevier Ltd. https://doi.org/10.1016/j.newideapsych.2020.100818
  38. Sun, W. (2020). Toward a theory of ethical consumer intention formation: re-extending the theory of planned behavior. AMS Review, 10(3–4), 260–278. https://doi.org/10.1007/s13162-019-00156-6
  39. Ulker-Demirel, E., & Ciftci, G. (2020). A systematic literature review of the theory of planned behavior in tourism, leisure and hospitality management research. Journal of Hospitality and Tourism Management, 43, 209–219. https://doi.org/10.1016/j.jhtm.2020.04.003
  40. Wikamorys, D. A., & Rochmach, T. N. (2017). Aplikasi theory of planned behavior dalam membangkitkan niat pasien untuk melakukan operasi katarak. Jurnal Administrasi Kesehatan Indonesia, 5(1), 32. https://doi.org/10.20473/jaki.v5i1.2017.32-40
  41. Yang, M., & Xu, P. (2021). Understanding the Antecedents of knowledge sharing behavior from the theory of planned behavior model: Cross-Cultural comparisons between mainland China and Malaysia. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.772764
  42. Yen, H. Y., Liu, D., Chi, M. J., & Huang, H. Y. (2023). Awareness of and subjective needs for post-discharge healthcare services among older adult patients. BMC Nursing, 22(1). https://doi.org/10.1186/s12912-023-01247-3
  43. Yu, C., Xian, Y., Jing, T., Bai, M., Li, X., Li, J., Liang, H., Yu, G., & Zhang, Z. (2023). More patient-centered care, better healthcare: the association between patient-centered care and healthcare outcomes in inpatients. Frontiers in Public Health, 11. https://doi.org/10.3389/fpubh.2023.1148277