Nancy Yacoub Nashwan, Noraida Mohamed Shah, Farida Islahudin, Sameh Mohammed Wasfi Iii
{"title":"巴勒斯坦一家资源有限的医院中癌症患者对阿片类药物治疗癌症相关疼痛的依从性","authors":"Nancy Yacoub Nashwan, Noraida Mohamed Shah, Farida Islahudin, Sameh Mohammed Wasfi Iii","doi":"10.2147/PPA.S525593","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Cancer-related pain is a critical symptom that significantly impacts patients' quality of life. This study aimed to assess adherence and identify factors influencing adherence to opioid analgesics for cancer-related pain among cancer patients at a hospital setting in Gaza, Palestine.</p><p><strong>Patients and methods: </strong>A cross-sectional study was conducted from December 2021 to March 2022, involving cancer patients receiving opioid for cancer-related pain. Participants completed a set of questionnaires on socioeconomic data, pain intensity and interference using the Brief Pain Inventory (BPI), adherence to opioids using the General Medication Adherence Scale (GMAS), and beliefs about pain and opioids using the Pain and Opioid Analgesic Beliefs-Cancer (POASB-CA) scale. Patients' clinical data were collected from the patients' medical records. Simple and multiple linear regression analyses were utilized to elucidate factors associated with adherence towards opioids for cancer-related pain.</p><p><strong>Results: </strong>A total of 270 patients were recruited. Most patients (88.5%) were at least partially adherent to the opioid analgesic. The average pain intensity score was 5.796 (SD = 1.98), and pain interference scored 7.093 (SD = 3.63). Simple linear regression identified the following parameters to be significantly associated with adherence: education level, presence of comorbidity, average percentage of pain relief experienced over the past 24 hours, negative effect beliefs and pain endurance beliefs. Based on multiple linear regression analysis, education level, percentage of pain relief and presence of side effects were positive predictors of higher adherence score (B=1.082, CI 0.139 to 2.025, p=0.025; B=0.076, CI 0.046 to 0.105, p<0.001 and B=1.578, CI 0.116 to 3.041, p=0.034, respectively).</p><p><strong>Conclusion: </strong>Adherence to opioids for cancer-related pain was generally good. Influencing factors included education level, average pain relief in the past 24 hours, and opioid side effects. These results highlight the complex nature of adherence in managing cancer pain and suggest areas for targeted interventions.</p>","PeriodicalId":19972,"journal":{"name":"Patient preference and adherence","volume":"19 ","pages":"2663-2671"},"PeriodicalIF":2.0000,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12407000/pdf/","citationCount":"0","resultStr":"{\"title\":\"Adherence to Opioids for Cancer-Related Pain Among Patients with Cancer in a Resource-Restricted Hospital in Palestine.\",\"authors\":\"Nancy Yacoub Nashwan, Noraida Mohamed Shah, Farida Islahudin, Sameh Mohammed Wasfi Iii\",\"doi\":\"10.2147/PPA.S525593\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Cancer-related pain is a critical symptom that significantly impacts patients' quality of life. This study aimed to assess adherence and identify factors influencing adherence to opioid analgesics for cancer-related pain among cancer patients at a hospital setting in Gaza, Palestine.</p><p><strong>Patients and methods: </strong>A cross-sectional study was conducted from December 2021 to March 2022, involving cancer patients receiving opioid for cancer-related pain. Participants completed a set of questionnaires on socioeconomic data, pain intensity and interference using the Brief Pain Inventory (BPI), adherence to opioids using the General Medication Adherence Scale (GMAS), and beliefs about pain and opioids using the Pain and Opioid Analgesic Beliefs-Cancer (POASB-CA) scale. Patients' clinical data were collected from the patients' medical records. Simple and multiple linear regression analyses were utilized to elucidate factors associated with adherence towards opioids for cancer-related pain.</p><p><strong>Results: </strong>A total of 270 patients were recruited. Most patients (88.5%) were at least partially adherent to the opioid analgesic. The average pain intensity score was 5.796 (SD = 1.98), and pain interference scored 7.093 (SD = 3.63). Simple linear regression identified the following parameters to be significantly associated with adherence: education level, presence of comorbidity, average percentage of pain relief experienced over the past 24 hours, negative effect beliefs and pain endurance beliefs. Based on multiple linear regression analysis, education level, percentage of pain relief and presence of side effects were positive predictors of higher adherence score (B=1.082, CI 0.139 to 2.025, p=0.025; B=0.076, CI 0.046 to 0.105, p<0.001 and B=1.578, CI 0.116 to 3.041, p=0.034, respectively).</p><p><strong>Conclusion: </strong>Adherence to opioids for cancer-related pain was generally good. Influencing factors included education level, average pain relief in the past 24 hours, and opioid side effects. These results highlight the complex nature of adherence in managing cancer pain and suggest areas for targeted interventions.</p>\",\"PeriodicalId\":19972,\"journal\":{\"name\":\"Patient preference and adherence\",\"volume\":\"19 \",\"pages\":\"2663-2671\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12407000/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Patient preference and adherence\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/PPA.S525593\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Patient preference and adherence","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/PPA.S525593","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
摘要
目的:癌症相关疼痛是影响患者生活质量的重要症状。本研究旨在评估巴勒斯坦加沙一家医院癌症患者阿片类镇痛药治疗癌症相关疼痛的依从性,并确定影响依从性的因素。患者和方法:从2021年12月到2022年3月进行了一项横断面研究,涉及接受阿片类药物治疗癌症相关疼痛的癌症患者。参与者使用简短疼痛量表(BPI)完成了一组关于社会经济数据、疼痛强度和干扰的问卷调查,使用一般药物依从性量表(GMAS)完成了对阿片类药物的依从性问卷调查,并使用疼痛和阿片类镇痛药物信念-癌症量表(POASB-CA)完成了对疼痛和阿片类药物的信念调查。从患者的病历中收集患者的临床资料。使用简单和多元线性回归分析来阐明阿片类药物治疗癌症相关疼痛的依从性相关因素。结果:共招募了270例患者。大多数患者(88.5%)至少部分坚持使用阿片类镇痛药。平均疼痛强度评分为5.796 (SD = 1.98),疼痛干扰评分为7.093 (SD = 3.63)。简单线性回归确定了以下参数与依从性显著相关:教育水平、合并症的存在、过去24小时内疼痛缓解的平均百分比、负面影响信念和疼痛耐力信念。基于多元线性回归分析,教育程度、疼痛缓解百分比和不良反应存在程度是高依从性评分的正预测因子(B=1.082, CI 0.139 ~ 2.025, p=0.025; B=0.076, CI 0.046 ~ 0.105, p)。结论:阿片类药物治疗癌症相关疼痛的依从性总体较好。影响因素包括受教育程度、过去24小时平均疼痛缓解程度和阿片类药物副作用。这些结果突出了癌症疼痛管理中依从性的复杂性,并提出了有针对性干预的领域。
Adherence to Opioids for Cancer-Related Pain Among Patients with Cancer in a Resource-Restricted Hospital in Palestine.
Purpose: Cancer-related pain is a critical symptom that significantly impacts patients' quality of life. This study aimed to assess adherence and identify factors influencing adherence to opioid analgesics for cancer-related pain among cancer patients at a hospital setting in Gaza, Palestine.
Patients and methods: A cross-sectional study was conducted from December 2021 to March 2022, involving cancer patients receiving opioid for cancer-related pain. Participants completed a set of questionnaires on socioeconomic data, pain intensity and interference using the Brief Pain Inventory (BPI), adherence to opioids using the General Medication Adherence Scale (GMAS), and beliefs about pain and opioids using the Pain and Opioid Analgesic Beliefs-Cancer (POASB-CA) scale. Patients' clinical data were collected from the patients' medical records. Simple and multiple linear regression analyses were utilized to elucidate factors associated with adherence towards opioids for cancer-related pain.
Results: A total of 270 patients were recruited. Most patients (88.5%) were at least partially adherent to the opioid analgesic. The average pain intensity score was 5.796 (SD = 1.98), and pain interference scored 7.093 (SD = 3.63). Simple linear regression identified the following parameters to be significantly associated with adherence: education level, presence of comorbidity, average percentage of pain relief experienced over the past 24 hours, negative effect beliefs and pain endurance beliefs. Based on multiple linear regression analysis, education level, percentage of pain relief and presence of side effects were positive predictors of higher adherence score (B=1.082, CI 0.139 to 2.025, p=0.025; B=0.076, CI 0.046 to 0.105, p<0.001 and B=1.578, CI 0.116 to 3.041, p=0.034, respectively).
Conclusion: Adherence to opioids for cancer-related pain was generally good. Influencing factors included education level, average pain relief in the past 24 hours, and opioid side effects. These results highlight the complex nature of adherence in managing cancer pain and suggest areas for targeted interventions.
期刊介绍:
Patient Preference and Adherence is an international, peer reviewed, open access journal that focuses on the growing importance of patient preference and adherence throughout the therapeutic continuum. The journal is characterized by the rapid reporting of reviews, original research, modeling and clinical studies across all therapeutic areas. Patient satisfaction, acceptability, quality of life, compliance, persistence and their role in developing new therapeutic modalities and compounds to optimize clinical outcomes for existing disease states are major areas of interest for the journal.
As of 1st April 2019, Patient Preference and Adherence will no longer consider meta-analyses for publication.