9 research outputs found

    The predictive factors of readiness for treatment in stimulant substance abusers

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    Background and aims: Readiness for treatment is affected by some factors that their identification helps greatly to detect the rate of treatment readiness among substance abusers and to plan interventions for effective treatment readiness. The aim of this study was to assess the predictive factors of treatment readiness in stimulant substance abusers. Methods: In this cross-sectional study, 123 stimulant substance abusers in outpatients and self-referred to clinics of substance abuse in Tehran were selected by convenience sampling. Assessment was performed by the Pre-treatment Readiness Scale (PRS), Barriers Questionnaire and Demographical Characteristic Questionnaire. Data were analyzed using stepwise multiple regressions by PASW software. Results: There was a significantly positive relationship between problem recognition and desire for change with treatment readiness. There was a significantly negative relationship between severity of substance abuse’s effects and perceived barriers for treatment with treatment readiness as well (P<0.001). Using problem recognition, desire for change, severity of substance abuse’s effects, and perceived barriers for treatment significantly predicted the treatment readiness (P<0.001). All of them explained 86% of the treatment readiness variance (R2=0/866). Conclusion: Problem recognition, desire for change, severity of substance abuse’s effects, and perceived barriers for treatment are important for the treatment readiness of stimulant substances abusers. Assessment and appropriate intervention in readiness for the treatment of stimulant substance abusers are important and necessary before their complete admission for treatmen

    Predicting diabetes management self-efficacy base on hardiness and coping strategies in patients with type 2 diabetes mellitus

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    Background: Stress and negative emotions has a role in prediction type 2 diabetes mellitus and Self- efficacy effectiveness on commitment to self- management behaviors. Objective: To investigate predicting diabetes management self-efficacy base on hardiness and coping strategies in patients with type 2 diabetes mellitus. Methods: In this correlational study, patients with type 2 diabetes (57 mild and 59 severe) were selected by convenience sampling in diabetic outpatient clinics of Bu-Ali and Velaiat hospitals in Qazvin. Data were collected by demographical characteristics questionnaire and scales of Personal Views Survey (PVS), Coping Inventory for Stressful Situations (CISS), and Diabetes Management Self-efficacy Scale (DMSES). Then, data analyzed by T test and multivariate regression. Findings: Results showed mild patient with diabetes are significantly higher than severe patient with diabetes in commitment, challenge and control subscales and total of hardiness. Also, mild patient most used problem solving and avoidance coping strategies and severe patient most used emotional oriented coping strategies. Mild patient have higher score in total of diabetes management self-efficacy. 75% of variance for diabetes management self-efficacy was predicted by hardiness and coping strategies. The total regression model explained that hardiness and emotional oriented coping predicted 0/43 and -0/36 of self-efficacy (P<0/001). Conclusion: Components such as commitment, control, challenge, effective coping strategies (decrease negative feelings and emotional regulation) shared with diabetes management selfefficacy in type 2 diabetes mellitus patients and must be paid attention to this factors for health counseling. Keywords: Hardiness, Coping Strategies with Stress, Self-Efficacy, Type 2 Diabetes Mellitu

    Role of workload, sleep, mental health and individual factors in occurrence of nursing errors

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    Background and Objective: Occurrence of nursing error is important issue in patients safety. This study was done to determine the role of workload, sleep, mental health and individual factors in occurrence of nursing errors. Materials and Methods: This descriptive study was done on 268 nurses who employed in hospitals of Tehran University during 2011. Data were collected by demographical information questionnaire along with work environment conditions, Global Sleep Assessment Questionnaire (GSAQ), Pittsburgh Sleep Symptom Questionnaire (PSSQ) and Mental Health Inventory (MHI-28). Results: Sleep distruptions (OR=3.260, P<0.002), sleep behaviors (OR=2.946, P<0.003), psychological distress (OR=2.530, P<0.006), psychological well-being (OR=0.775, P<0.002), and work overload (OR=5.240, P<0.009) significantly able to predict occurrence of nursing errors (P<0.05). Conclusion: Work overload, sleep distruptions, sleep behaviors, psychological distress and psychological well-being cooperatively were resulting in occurrence of nursing errors

    The Predictive Role of Demographical, Psychological and Disease Characteristics Factors on Quality of Life in Patients with Type II Diabetes

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    Background & Aim: Quality of life promotion is important for control of type II diabetes and its complications. The aim of this study was to investigate the predictive role of demographical, psychological and disease characteristics factors on quality of life in patients with type II diabetes. Methods: This cross-sectional survey was conducted in 2010-2011 in outpatient's diabetic clinics of Tehran University of Medical Sciences. 269 outpatients with type II diabetes were selected by convenience sampling method. Data were collected by scales of Quality of Life Scale, Depression of DASS, diabetes self-management, diabetes knowledge, and demographical Information-disease characteristics questionnaire and analyzed, using correlation and stepwise multiple regression. Results: there was a significantly positive relationship between self-management and diabetes knowledge with quality of life. Moreover, there was a significantly negative relationship between diabetes duration, depression, HbA1c and diabetes complications with quality of life (P<0.001). Diabetes duration, self-management, diabetes knowledge, HbA1c, depression, diabetes complications and socio-economic status significantly predicted the quality of life variance in patients with type II diabetes (P<0.001). The duration of diabetes had the most significant role in defining the quality of life among these patients. Conclusion: Findings of this study indicated that diabetes duration, self-management, diabetes knowledge, Glycated hemoglobin, depression, diabetes complications and socio-economic status are important in quality of life for patients with type II diabetes

    The Effectiveness of Healthy Lifestyle Promotion Intervention on Quality of Life in Patients with Congestive Heart Failure via Cognitive-Behavioral Procedure

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    Introduction: Reduced quality of life in cardiac patients and their frequent hospitalizations in the coronary care units is regarded as a main challenge for such patients. Therefore, this study aimed to explore the effectiveness of healthy lifestyle promotion intervention on quality of life in patients with congestive heart failure via cognitive-behavioral procedure. Methods: In this randomized controlled trial, assessment in pretest, posttest, and follow-up along with the control group were applied. Twenty-six patients with congestive heart failure were selected via convenience sampling among patients attended to Shahid Rajaee Heart hospital in Tehran. Then, they were randomly assigned to the experimental group (n=11; under administration of healthy lifestyle promotion intervention via cognitive-behavioral procedure during eight group sessions once a week) and control group (n=15). Quality of life was measured for all the participants in three phases of pre-test, post-test and follow-up by Questionnaire of Quality of Life in Patients with Heart Failure (IHF-QoL) and Depression Anxiety Stress Scales (DASS). Results: According to the results of variance analysis with repeated measures, this intervention was proved to have short-time effects on quality of life and its psychological components (P<0.001). Following the therapy termination, patients were returned to baseline, though the effect of intervention on depression was continued within 2 month follow-up (P<0.001). Conclusion: In regard with the effectiveness of healthy lifestyle promotion intervention via cognitive-behavioral procedure in improving quality of life and its psychological aspects, as well as high costs of hospital and prolonged treatment for these patients, applying this intervention in a permanent manner seem to be beneficial
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