Jabbarzadeh Tabrizi Faranak, Rahmani Azad, Asghari Jafarabadi Mohammad, Jasemi Madineh, Allahbakhshian Atefeh
Department of Nursing, Faculty of Nursing and Midwifery, Tabriz University of Medical Sciences, Tabriz, Iran.
Hematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
J Caring Sci. 2016 Dec 1;5(4):307-316. doi: 10.15171/jcs.2016.032. eCollection 2016 Dec.
Investigation of supportive care needs of cancer patients is important to implement any supportive care programs. There is no relevant studies investigated supportive care needs of Iranian cancer patients and factors affecting such needs. So, the aims of present study were to determine the unmet supportive care needs of Iranian cancer patients and its predictive factors. In this descriptive- correlational study 274 cancer patients in one referral medical center in North West of Iran participated. For data collection, demographic and cancer related information checklist and Supportive Care Needs Survey (SCNS) was used. Logistic regression was used for data analysis of un-adjusted and adjusted Odds Ratios (ORs) for patients needs and analysis of variables of study based on Backward LR procedure SPSS Ver.13. More than fifty percent of participants reported unmet needs in 18 items of SCNS. Most frequent unmet needs were related to health system and information domains and most meet needs were related to sexuality and psychological domains. The result of logistic regression identified predictors of each domain of supportive care needs. The variable such as sex, age and living situation were most important predictors of unmet needs. The results showed that Iranian cancer patients have many supportive care needs in different domains. In general female cancer patients are at risk of more unmet supportive care needs. So, health care professionals should be more sensitive to fulfillment of supportive care needs of female.
调查癌症患者的支持性护理需求对于实施任何支持性护理计划都很重要。目前尚无相关研究调查伊朗癌症患者的支持性护理需求以及影响此类需求的因素。因此，本研究的目的是确定伊朗癌症患者未满足的支持性护理需求及其预测因素。在这项描述性相关性研究中，伊朗西北部一家转诊医疗中心的274名癌症患者参与其中。为收集数据，使用了人口统计学和癌症相关信息清单以及支持性护理需求调查（SCNS）。采用逻辑回归对患者需求的未调整和调整后的优势比（OR）进行数据分析，并根据反向LR程序SPSS Ver.13对研究变量进行分析。超过50%的参与者报告在SCNS的18项中存在未满足的需求。最常见的未满足需求与卫生系统和信息领域相关，而最满足的需求与性和心理领域相关。逻辑回归结果确定了支持性护理需求各领域的预测因素。性别、年龄和生活状况等变量是未满足需求的最重要预测因素。结果表明，伊朗癌症患者在不同领域有许多支持性护理需求。总体而言，女性癌症患者有更多未满足的支持性护理需求的风险。因此，医疗保健专业人员应更加关注满足女性的支持性护理需求。
