Evaluation of the decision support computer program for cancer pain management.

نویسندگان

  • Eun-Ok Im
  • Wonshik Chee
چکیده

PURPOSE/OBJECTIVES To evaluate a decision support computer program (DSCP) for cancer pain management. DESIGN An Internet intervention study to evaluate the usage profile, accuracy, and acceptance of the DSCP. SETTING Internet and community settings. SAMPLE 122 nurses working with patients with cancer were recruited through the Internet through a convenience sampling method. METHODS The instruments included tools for registration and for evaluation of the DSCP. To evaluate the DSCP, the usage profile was measured by counting the total number of cases in which the participants used the DSCP; accuracy was measured by determining whether the decision support from the DSCP was appropriate and accurate; and acceptance was measured using the Questionnaire for User Interaction Satisfaction. MAIN RESEARCH VARIABLES Usage profile, accuracy, and acceptance of the DSCP. FINDINGS Participants used the DSCP an average of 1.49 times per person (SD = 1.16). Eighty-eight percent of the participants evaluated the DSCP as appropriate and accurate. The mean scores of overall satisfaction in four major areas of the computer program ranged from 7.46-9.69. CONCLUSIONS The DSCP could provide accurate and acceptable computerized evidence-based practice guidelines for cancer pain management. IMPLICATIONS FOR NURSING The findings suggest that researchers should develop decision support systems in multiple aspects and dimensions of cancer pain experience and that hand-held devices would increase the usability of the DSCP.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

بررسی تاثیر یک برنامه مدیریت درد بر کنترل درد بیماران با کاهش سطح هوشیاری بستری در بخش های مراقبت ویژه بیمارستان الزهرا اصفهان

Aim and Background: Evaluation and management of pain is an important issue in the intensive care unit and Limited research there is on clinical decision making in relation to the management of pain in patients with decreased level of consciousness. The purpose of this study was to determine the effect of a pain management program on pain management In patients with decreased level of co...

متن کامل

A Fuzzy Based Decision Support System For Supply Chain Disruption Management

Among the supply chain risk types, disruptions that result from natural disasters, sanctions, transportation problems and equipment failure can seriously disrupt or delay the flow of material, information and cash. The aim of this research was to propose a hybrid model for disruption management, which is the process of achieving plans or strategies to reduce the expenses incurred by the disrupt...

متن کامل

Effectiveness of Mindfulness-Integrated Cognitive-Behavioral Therapy in Breast Cancer Pain Management

Introduction: Given the high comorbidity of mental conditions and chronic pain in cancer, there is a need for development and administration of interventions for this population. This study aimed to investigate the effectiveness of mindfulness-integrated cognitive-behavioral therapy (MiCBT) in breast cancer pain management. Methods: In this clinical trial, 24 patients with breast cancer from Om...

متن کامل

A Model-Driven Decision Support System for Software Cost Estimation (Case Study: Projects in NASA60 Dataset)

Estimating the costs of software development is one of the most important activities in software project management. Inaccuracies in such estimates may cause irreparable loss. A low estimate of the cost of projects will result in failure on delivery on time and indicates the inefficiency of the software development team. On the other hand, high estimates of resources and costs for a project wil...

متن کامل

Clinical decision support system, a potential solution for diagnostic accuracy improvement in oral squamous cell carcinoma: A systematic review

BACKGROUND AND AIM: Oral squamous cell carcinoma (OSCC) is a rapidly progressive disease and despite the progress in the treatment of cancer, remains a life-threatening illness with a poor prognosis. Diagnostic techniques of the oral cavity are not painful, non-invasive, simple and inexpensive methods. Clinical decision support systems (CDSSs) are the most important diagnostic technologies used...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Computers, informatics, nursing : CIN

دوره 21 1  شماره 

صفحات  -

تاریخ انتشار 2003