Phillips Jane L, Heneka Nicole, Hickman Louise, Lam Lawrence
IMPACCT-Improving Palliative, Aged and Chronic Care through Clinical Research and Translation, University of Technology Sydney, Sydney, New South Wales, Australia.
IMPACCT-Improving Palliative, Aged and Chronic Care through Clinical Research and Translation, University of Technology Sydney, Sydney, New South Wales, Australia.
Pain Manag Nurs. 2018 Dec;19(6):619-626. doi: 10.1016/j.pmn.2018.07.008. Epub 2018 Oct 10.
Pain is highly prevalent in all health care settings, and frequently poorly managed. Effective pain management is predicated on a continuous cycle of screening, assessing, intervening and evaluating. Identifying gaps in nurses' self-perceived pain assessment competencies is an essential first step in the design of tailored interventions to embed effective pain assessment into routine clinical practice, and improve patient reported pain outcomes. Yet, few validated instruments focus on the competencies required for undertaking a comprehensive pain assessment, with most focusing on clinician's pain management competencies.
To examine the validity of the 'Self-Perceived Pain Assessment Knowledge and Confidence' (Self-PAC) Scale.
Preliminary instrument validation.
Two Australian cancer and palliative care services.
PARTICIPANTS/SUBJECTS: 186 cancer and palliative care nurses.
The Self-PAC Scale was administered to participants online. Factor Analyses, including Exploratory and Confirmatory, were applied to examine the structural validity, Cronbach's alpha was calculated for internal consistency. Criterion validity was investigated by comparing responses from experienced and non-experienced nurses.
Two components resulted with a single factor structure for pain assessment confidence and a two-factor structure for the knowledge of pain assessment. The factor loading for the subscales ranged from 0.653 to 0.969, with large proportions of the variances explained by the factors. Cronbach's alpha of the subscales ranged from 0.87-0.92 and significant difference in responses were found between experienced and non-experienced nurses.
Preliminary validation of the Self-PAC Scale suggests that it is a helpful instrument for assessing cancer and palliative care nurse' pain assessment competencies.
疼痛在所有医疗环境中都极为普遍，且常常管理不善。有效的疼痛管理基于筛查、评估、干预和评价的持续循环。识别护士自我认知的疼痛评估能力差距，是设计针对性干预措施以将有效的疼痛评估纳入常规临床实践并改善患者报告的疼痛结果的关键第一步。然而，很少有经过验证的工具关注进行全面疼痛评估所需的能力，大多数工具关注的是临床医生的疼痛管理能力。
检验“自我认知疼痛评估知识与信心”（Self-PAC）量表的有效性。
初步工具验证。
两家澳大利亚癌症与姑息治疗服务机构。
参与者/受试者：186名癌症与姑息治疗护士。
通过在线方式向参与者发放Self-PAC量表。应用包括探索性和验证性在内的因素分析来检验结构效度，计算Cronbach's alpha系数以评估内部一致性。通过比较经验丰富和经验不足护士的回答来调查效标效度。
该量表产生了两个分量表，疼痛评估信心为单因素结构，疼痛评估知识为双因素结构。各分量表的因子载荷范围为0.653至0.969，各因素解释了很大比例的方差。各分量表的Cronbach's alpha系数范围为0.87 - 0.92，经验丰富和经验不足护士的回答存在显著差异。
Self-PAC量表的初步验证表明，它是评估癌症与姑息治疗护士疼痛评估能力的有用工具。
