Professional Evidence-based Research and Advances in Wellness and Treatment
Professional Evidence-based Research and Advances in Wellness and Treatment (PERAWAT) is an integral part of the journal published by CV. Get Press Indonesia. PERAWAT is a means of developing and publishing scientific work for researchers, lecturers and legal practitioners. PERAWAT publishes articles which are the results of research, case studies, results of literature studies, scientific concepts, knowledge and technology that are innovative and up-to-date in the scope of care that focus on (10) pillars of Maternity Nursing, Medical Surgical of Nursing, Pediatric Nursing, Management in Nursing, Community Nursing, Family in Nursing, Emergency and Trauma Nursing, Critical Care Nursing, Mental Health Nursing, Gerontological Nursing. Articles published in PERAWAT have gone through a peer review process with relevant expertise. Professional Evidence-based Research and Advances in Wellness and Treatment (PERAWAT) is used to publish research published every month January, April, and September.
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<![CDATA[Factors Affecting the Mental Health of Chronic Disease Patients in Hospitals ]]>
<![CDATA[M Ramadhani Firmansyah]]>;
<![CDATA[Agus Dwi Pranata]]>;
<![CDATA[Nora Harminarti]]>;
<![CDATA[Sahariah]]>
<![CDATA[ Professional Evidence-based Research and Advances in Wellness and Treatment Vol. 3 No. 2 (2026): April, 2026 ]]>
Publisher : <![CDATA[CV. Get Press Indonesia ]]>
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DOI: 10.69855/perawat.v3i2.489
<![CDATA[Chronic disease is a long-term condition that affects not only the physical health, but also the mental health of the patient. Chronic disease patients often experience stress, anxiety, and depression due to prolonged treatment, limited activity, and varied social support. Mental health problems that are not treated properly can reduce the quality of life and patient adherence to treatment. This study aims to analyze the factors that affect the mental health of patients with chronic diseases in RSUD dr. Rasidin Padang. The research method used is quantitative research with cross-sectional design. A sample of 50 chronic disease patients undergoing treatment at RSUD dr. Rasidin Padang, selected using purposive sampling technique. Data analysis was conducted univariate and bivariate using Chi-Square test, and multivariate analysis using logistic regression. The results showed that as many as 56% of respondents experienced moderate to severe mental health disorders. The Chi-Square test showed a significant association between social support with mental health (p = 0.002), long of illness with mental health (p = 0.015), and treatment adherence with mental health (p = 0.008). The results of logistic regression showed that social support was the most dominant factor affecting the mental health of chronic disease patients (OR = 4.25; CI 95%: 1.62–11.18). The conclusion of the study was that social support, length of illness, and treatment adherence had a significant effect on the mental health of chronic disease patients. The implications of this study are expected to be the basis for health workers to improve holistic approaches through mental health screening as well as strengthening psychosocial support in the service of chronic disease patients in hospitals.]]>
<![CDATA[The Effect of Digital Technology on the Quality of Health Services in Health Centers ]]>
<![CDATA[Dedeh Husnaniyah]]>;
<![CDATA[Samuel Hadjo]]>
<![CDATA[ Professional Evidence-based Research and Advances in Wellness and Treatment Vol. 3 No. 2 (2026): April, 2026 ]]>
Publisher : <![CDATA[CV. Get Press Indonesia ]]>
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DOI: 10.69855/perawat.v3i2.490
<![CDATA[The application of digital technology in health services has become increasingly important as public demand for fast, accurate, and transparent services continues to grow. Puskesmas, as first-level healthcare facilities, are required to adapt to technological developments to improve service quality. However, challenges such as service delays, administrative inefficiencies, and limited use of digital systems still persist. This study aims to analyze the effect of digital technology implementation on the quality of health services at Andalas Padang Health Center. The research employed a quantitative method with an associative approach. The population consisted of all patients receiving services at the health center, with a sample of 100 outpatient respondents selected through accidental sampling. All respondents had utilized digital-based services such as electronic registration and administration. Data were collected using questionnaires and analyzed using simple linear regression with statistical software. The results showed that digital technology implementation has a positive and significant effect on service quality, with a regression coefficient of 0.652 and a significance value of 0.000 (<0.05). The coefficient of determination (R²) was 0.425, indicating that 42.5% of service quality variation is explained by digital technology, while the rest is influenced by other factors. In conclusion, optimizing digital technology improves healthcare service quality.]]>
<![CDATA[Effect of Telehealth Implementation on the Quality of Nursing Care in Chronic Disease Patients ]]>
<![CDATA[Rahayu Tri Nuritasari]]>
<![CDATA[ Professional Evidence-based Research and Advances in Wellness and Treatment Vol. 3 No. 2 (2026): April, 2026 ]]>
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DOI: 10.69855/perawat.v3i2.491
<![CDATA[Chronic diseases require continuous nursing care; however, barriers such as limited access to services, low frequency of control, and suboptimal communication between nurses and patients especially in outpatient settings are still common. Telehealth has emerged as an alternative service, yet its effect on the quality of nursing care requires further scientific investigation. This study aimed to analyze the effect of telehealth implementation on the quality of nursing care in patients with chronic diseases. A quantitative study with a cross-sectional design was conducted at Semen Padang Hospital involving 120 patients selected through purposive sampling. Data were collected using questionnaires measuring nursing care quality, including assessment, planning, implementation, evaluation, and therapeutic communication. Telehealth variables included technology use, service accessibility, and digital interaction between healthcare providers and patients. Data were analyzed using simple linear regression with a significance level of 0.05. The results showed that 68.3% of respondents rated telehealth implementation as good, while 72.5% rated nursing care quality as good. Regression analysis revealed a significant positive effect (p=0.001; β=0.462), with an R² value of 0.213, indicating that telehealth contributed 21.3% to nursing care quality improvement. In conclusion, telehealth significantly improves nursing care quality and can support sustainable healthcare service development.]]>
<![CDATA[The Effect of Digital Technology Training on the Competence of Nurses in Telenurse Services ]]>
<![CDATA[Helsy Desvitasari]]>;
<![CDATA[Indrawati]]>;
<![CDATA[Linda Jurwita]]>;
<![CDATA[Muhammad Husaini]]>;
<![CDATA[A wardah Muzfah]]>
<![CDATA[ Professional Evidence-based Research and Advances in Wellness and Treatment Vol. 3 No. 2 (2026): April, 2026 ]]>
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DOI: 10.69855/perawat.v3i2.500
<![CDATA[the development of digital technology has changed the paradigm of health care, including in the practice of Telenurse, where nurses are required to have sufficient digital competence to provide remote services effectively. Purpose: This study purpose to determine the effect of digital technology training on the competence of nurses in Telenurse services. Methods: this study uses quasi-experimental quantitative design with pretest-posttest approach. The sample consisted of 20 purposively selected nurses at Hermina Hospital Pekanbaru. Data were collected using the nurse digital competency questionnaire and analyzed using the Wilcoxon test to determine significant differences in competency before and after training, because the sample size is relatively small and the data is not always normally distributed. Results: the results showed a significant increase in nurse competence after training, with an average pretest value of 60.5 increased to 82.3 on the posttest (p < 0.05). These improvements include aspects of mastering Telenurse applications, digital communication with patients, and technical troubleshooting. Conclusion: digital technology training effectively improves the competence of nurses in Telenurse services, thus enabling more efficient, accurate, and responsive services. The implications of this study emphasize the importance of continuous training programs for nurses to master digital technology, as well as hospital management support in the provision of adequate facilities and Telenourse systems to improve the quality of health services.]]>
<![CDATA[The Effect of Digital Application-Based Nursing Innovation on Patient Satisfaction at Banyumas Hospital in 2025 ]]>
<![CDATA[Didi Taswidi]]>
<![CDATA[ Professional Evidence-based Research and Advances in Wellness and Treatment Vol. 3 No. 2 (2026): April, 2026 ]]>
Publisher : <![CDATA[CV. Get Press Indonesia ]]>
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DOI: 10.69855/perawat.v3i2.505
<![CDATA[The development of digital technology in healthcare has encouraged the implementation of digital application–based nursing innovations to improve service quality and patient satisfaction. The use of digital applications enables real-time documentation, improves data accuracy, and facilitates communication between nurses and patients. However, empirical evidence regarding their impact on patient satisfaction remains limited. This study aimed to analyze the effect of digital application–based nursing innovations on patient satisfaction. This study used a quantitative design with a pre-experimental one-group pretest–posttest approach without a control group. It was conducted at Banyumas Hospital with 80 respondents selected using purposive sampling based on inclusion and exclusion criteria. Data normality was tested using the Shapiro–Wilk test, and bivariate analysis was performed using the paired t-test with a significance level of 0.05. The results showed that the average patient satisfaction score increased from 75.4 ± 7.9 before the intervention to 84.7 ± 6.3 after the intervention. The paired t-test indicated a significant difference (t = 9.12; p < 0.001). In conclusion, digital application–based nursing innovations significantly improve patient satisfaction. Therefore, optimizing digital applications, providing continuous nurse training, and integrating digital systems into standard operating procedures are essential.]]>
<![CDATA[Effectiveness of Telehealth on Treatment Adherence of Mental Patients ]]>
<![CDATA[Lina Darmayanti Bainuan]]>;
<![CDATA[Nuniek Setyo Wardani]]>;
<![CDATA[Intan Parulian Tiurma Roosleyn]]>;
<![CDATA[Arnindya Kanti Prasasti]]>;
<![CDATA[Sondang Tio Helena Manurung]]>
<![CDATA[ Professional Evidence-based Research and Advances in Wellness and Treatment Vol. 3 No. 2 (2026): April, 2026 ]]>
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DOI: 10.69855/perawat.v3i2.506
<![CDATA[Mental disorders are a global health concern requiring long-term therapy, yet treatment adherence remains low, often leading to relapse and rehospitalization. The advancement of telehealth offers opportunities to enhance continuous patient monitoring and support. However, evidence regarding its effectiveness in Indonesia is still limited. This study aimed to analyze the effectiveness of telehealth in improving treatment adherence among patients with mental disorders. A pre-experimental design with a one-group pretest-posttest approach was used. The study was conducted at Dr. Soeharto Heerdjan Psychiatric Hospital, Jakarta, from July to September 2025. A total of 30 respondents were selected using purposive sampling based on inclusion criteria. The telehealth intervention was implemented for 8 weeks and included scheduled online consultations, medication reminder systems, and family education. Treatment adherence was measured using the Medication Adherence Rating Scale (MARS), and data were analyzed using a paired t-test with a significance level of 0.05. The results showed a significant increase in the mean adherence score from 5.9 ± 1.3 before the intervention to 8.4 ± 1.1 after the intervention (p=0.000). This indicates that telehealth significantly improved treatment adherence. In conclusion, telehealth can be recommended as an effective strategy to support outpatient care and improve adherence among patients with mental disorders.]]>
<![CDATA[Effect of Telehealth Implementation on Outpatient Anxiety Level ]]>
<![CDATA[Eni Nuraeni]]>
<![CDATA[ Professional Evidence-based Research and Advances in Wellness and Treatment Vol. 3 No. 2 (2026): April, 2026 ]]>
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DOI: 10.69855/perawat.v3i2.540
<![CDATA[Anxiety in outpatients is a psychological problem that often arises due to long lines, limited consultation time, and concerns about diagnosis and therapy. The use of telehealth as a technology-based health service innovation has the potential to improve patient access, efficiency, and comfort so that it can reduce anxiety levels. However, the scientific evidence regarding the effectiveness of telehealth on outpatient anxiety in Indonesia is still limited. This study aims to analyze the effect of the application of telehealth on the level of anxiety of outpatients in Dr. Hasan Sadikin Bandung. This study used a quasi-experimental design with one group pretest-posttest approach without a control group. A sample of 80 outpatients were selected using acidental sampling technique according to inclusion and exclusion criteria. Interventions in the form of telehealth services are provided during scheduled consultation periods. Anxiety levels were measured using the Hamilton Anxiety Rating Scale (HARS) instrument before and after the intervention. Data analysis was conducted using paired t-test to determine the difference in the average anxiety score before and after the application of telehealth with a significance level of p<0.05. The results showed that the average anxiety score before the intervention was 25.1 ± 5.4 and decreased to 16.2 ° 4.9 after the implementation of telehealth. The paired t-test results showed a statistically significant difference (p=0.000), with an average decrease of 8.9 points. It was concluded that the application of telehealth has a significant effect in reducing the level of outpatient anxiety. Operational implications of this study is the need for optimization of telehealth services as part of outpatient service standards to support the comfort and psychological stability of patients.]]>
<![CDATA[Effectiveness of Telecare in Reducing Stress Patients with Chronic Diseases ]]>
<![CDATA[Imas Yoyoh]]>;
<![CDATA[Abdul Syafei]]>;
<![CDATA[Apriani]]>;
<![CDATA[Dedi Pahrul]]>
<![CDATA[ Professional Evidence-based Research and Advances in Wellness and Treatment Vol. 3 No. 2 (2026): April, 2026 ]]>
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DOI: 10.69855/perawat.v3i2.547
<![CDATA[Chronic diseases such as diabetes mellitus, hypertension, and heart failure require long-term management that often leads to psychological stress in patients. In Bogor City, limited access to face-to-face healthcare services and the burden of routine medical visits may further increase stress levels. Telecare, a remote healthcare model based on communication technology, offers a potential solution to enhance continuous psychosocial support and health monitoring. This study aimed to analyze the effectiveness of telecare in reducing stress levels among patients with chronic diseases in Bogor City. A quasi-experimental design with a pretest-posttest control group approach was employed. A total of 60 patients were selected using purposive sampling, consisting of 30 respondents in the intervention group (receiving telecare for 8 weeks) and 30 in the control group (receiving standard care). Stress levels were measured using the Perceived Stress Scale (PSS-10). Data were analyzed using paired t-tests and independent t-tests with a significance level of 0.05. The results showed a significant reduction in stress scores in the intervention group (24.6 ± 4.2 to 16.8 ± 3.9; p<0.001), while the control group showed no significant change (p=0.087). Telecare was effective in reducing stress levels and can be implemented in primary healthcare settings to improve patients’ psychological well-being.]]>
<![CDATA[The Effect of Telehealth Utilization on the Efficiency of Nursing Services in Hospitals ]]>
<![CDATA[Ika Subekti Wulandari]]>
<![CDATA[ Professional Evidence-based Research and Advances in Wellness and Treatment Vol. 3 No. 2 (2026): April, 2026 ]]>
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DOI: 10.69855/perawat.v3i2.578
<![CDATA[The use of digital technology in health services is rapidly increasing, particularly through telehealth. In referral hospitals, nursing service processes are often constrained by long patient waiting times, limited coordination among health workers, and inadequate continuous patient monitoring. These challenges highlight the need for service innovations that improve nursing efficiency without compromising care quality. This study aimed to analyze the effect of telehealth utilization on the efficiency of nursing services. A quantitative method with a cross-sectional design was applied. The study was conducted at Dr. Kariadi Hospital, Semarang, in 2025, involving a population of implementing nurses in inpatient units. A total of 120 nurses were selected using proportional random sampling. Data were collected through structured questionnaires assessing telehealth utilization and nursing service efficiency, along with service time observation sheets. Univariate analysis was used to describe frequency distributions, while bivariate analysis employed the Chi-Square test with a significance level of 0.05. The results showed that 68.3% of nurses had good telehealth utilization, and 71.7% demonstrated high efficiency in nursing services. There was a significant relationship between telehealth utilization and service efficiency (p = 0.001; OR = 3.45). Nurses with good telehealth utilization were 3.45 times more likely to provide efficient services. In conclusion, telehealth significantly improves nursing service efficiency, emphasizing the need for supportive policies, training, and system integration.]]>
<![CDATA[The Relationship Between the Digital Competence of Nurses with the Quality of Nursing Care at RSUP Dr. M. Djamil Padang Year 2025 ]]>
<![CDATA[Romliyadi]]>
<![CDATA[ Professional Evidence-based Research and Advances in Wellness and Treatment Vol. 3 No. 2 (2026): April, 2026 ]]>
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DOI: 10.69855/perawat.v3i2.579
<![CDATA[The development of information technology requires adequate digital competence among nurses to improve the quality of health services. However, disparities in understanding and applying digital technology persist, affecting the quality of nursing care. Therefore, evaluating nurses’ digital competence is necessary to identify barriers and develop improvement strategies. This study aimed to analyze the relationship between nurses’ digital competence and the quality of nursing care at RSUP Dr. M. Djamil Padang in 2025. This study used a quantitative design with a cross-sectional approach. The research involved 100 nurses selected through proportionate stratified random sampling. Data were collected using structured questionnaires, which had been tested for validity and reliability to measure digital competence, and observation sheets to assess the quality of nursing care. Data analysis included univariate analysis to describe frequency distributions and bivariate analysis using the chi-square test, along with odds ratio (OR) calculations. The results showed that 56% of nurses had good digital competence, while 60% demonstrated good quality of nursing care. Bivariate analysis revealed a significant relationship between digital competence and nursing care quality (p-value = 0.003; OR = 2.95). Nurses with good digital competence were 2.95 times more likely to provide high-quality care. In conclusion, digital competence is significantly associated with nursing care quality, highlighting the need for continuous training, system optimization, and technology-based policies.]]>
