Psychosocial and Clinical Factors That Differentiate and Predict Patients' Adaptation to Chronic Diseases

被引:0
作者
Laza, Ruxandra [1 ]
Al Ghazi, Loredana [2 ]
Lustrea, Anca [2 ]
Lazureanu, Voichita Elena [1 ]
Oancea, Cristian Iulian [3 ,4 ]
Luput-Andrica, Ioana Melinda [5 ]
Poplicean, Emanuel Ionut [4 ,5 ]
Ilina, Razvan [6 ]
Cireap, Natalia [6 ]
Bob, Flaviu [7 ,8 ]
Olariu, Nicu [5 ,9 ]
Ionita, Ioana [10 ,11 ]
Lazar, Sandra [10 ,11 ]
Dehelean, Liana [12 ]
Romosan, Radu Stefan [12 ]
Romosan, Ana-Maria [12 ]
机构
[1] Victor Babes Univ Med & Pharm Timisoara, Dept Infect Dis, Timisoara, Romania
[2] West Univ Timisoara, Univ Clin Therapies & Psychopedag Counseling, Dept Educ Sci, Bd Vasile Parvan 4, Timisoara 300223, Romania
[3] Victor Babes Univ Med & Pharm Timisoara, Dept Pneumol, Timisoara, Romania
[4] Victor Babes Univ Med & Pharm Timisoara, Romania Ctr Res & Innovat Precis Med Resp Dis CRI, Timisoara, Romania
[5] Victor Babes Univ Med & Pharm Timisoara, Doctoral Sch, Timisoara, Romania
[6] Victor Babes Univ Med & Pharm, Dept Oncol Surg Surg Semiol, Timisoara, Romania
[7] Victor Babes Univ Med & Pharm Timisoara, Dept Internal Med Nephrol 2, Timisoara, Romania
[8] Victor Babes Univ Med & Pharm, Ctr Mol Res Nephrol & Vasc Dis, Timisoara, Romania
[9] Pius Branzeu Cty Hosp, Ctr Hemodialysis, Timisoara, Romania
[10] Victor Babes Univ Med & Pharm Timisoara, Dept Hematol, Timisoara, Romania
[11] Victor Babes Univ Med & Pharm Timisoara, Multidisciplinary Res Ctr Malignant Hematol CCMHM, Timisoara, Romania
[12] Victor Babes Univ Med & Pharm, Dept Neurosci Psychiat, Timisoara, Romania
关键词
adaptation to chronic disease; predictive factors; medication adherence; social support; self-efficacy; QUALITY-OF-LIFE; ILLNESS; ADJUSTMENT; ADHERENCE; SUPPORT;
D O I
10.2147/PPA.S518080
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Purpose: Adaptation to chronic disease is an important factor for the quality of life of patients and their families. This research aimed to identify the psychosocial and clinical factors that determine significant differences and best predict the patients' adaptation to chronic diseases. Understanding these factors enables the design of evidence-based preventive interventions that promote early adaptation. Patients and Methods: A quantitative, non-experimental comparative and predictive study design was conducted. Several clinical, demographic, and psychological factors were measured with an online questionnaire. This study was conducted on a convenience sample of 263 patients with chronic diseases: 63 (24%) had chronic kidney disease with dialysis dependency, 49 (18.6%) had solid neoplasms, 61 (23.2%) had hemopathies, 64 (24.3%) had HIV infection, and 26 (9.9%) had tuberculosis. Results: Adaptation to chronic disease varies based on the type of diagnosis, with lower adaptation seen in conditions that significantly impact daily life, involve comorbidities, and require frequent treatments, like chronic kidney disease. The most significant predictor of adaptation to the chronic disease is the female gender. Other predictive factors are medication adherence, social support, and self-efficacy in managing chronic disease. Patients without comorbidities and fewer medications are more prone to illness denial, alongside younger, urban, employed, and higher-educated patients, potentially neglecting treatment. Patients with comorbidities and the older patients require greater emotional support, with psychological counseling and support groups being beneficial. Conclusion: Current data underlines the need for an individualized approach to chronic disease management, which should consider adaptation to chronic disease, which could include individual and family counseling and education programs for medication administration, treatment at home, adherence to a healthy lifestyle, and inclusion of the patient and his family in social support groups.
引用
收藏
页码:1539 / 1556
页数:18
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