Division of Community Health Care System, Health Sciences, Tohoku University Graduate School of Medicine, Sendai, Japan.
Department of Community Health nursing, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Int J Integr Care. 2014 Mar 13;14:e008. doi: 10.5334/ijic.1159. eCollection 2014 Jan.
To develop a Home Visiting Nursing Service Need Assessment Form (HVNS-NAF) to standardize the decision about the need for home visiting nursing service.
The sample consisted of older adults who had received coordinated services by care managers. We defined the need for home visiting nursing service by elderly individuals as the decision of the need by a care manager so that the elderly can continue to live independently. Explanatory variables included demographic factors, medical procedure, severity of illness, and caregiver variables. Multiple logistic regression was carried out after univariate analyses to decide the variables to include and the weight of each variable in the HVNS-NAF. We then calculated the sensitivity and specificity of each cutoff value, and defined the score with the highest sensitivity and specificity as the cutoff value.
Nineteen items were included in the final HVNS-NAF. When the cutoff value was 2 points, the sensitivity was 77.0%, specificity 68.5%, and positive predictive value 56.8%.
HVNS-NAF is the first validated standard based on characteristics of elderly clients who required home visiting nursing service. Using the HVNS-NAF may result in reducing the unmet need for home visiting nursing service and preventing hospitalization.
开发家庭访视护理服务需求评估表（HVNS-NAF），以规范家庭访视护理服务需求的决策。
样本由接受护理经理协调服务的老年人组成。我们将老年人对家庭访视护理服务的需求定义为护理经理对需求的决策，以使老年人能够继续独立生活。解释变量包括人口统计学因素、医疗程序、疾病严重程度和照顾者变量。在进行单变量分析后，进行多变量逻辑回归，以确定纳入 HVNS-NAF 的变量和每个变量的权重。然后，我们计算每个截止值的敏感性和特异性，并将敏感性和特异性最高的得分定义为截止值。
最终的 HVNS-NAF 包括 19 个项目。当截止值为 2 分时，敏感性为 77.0%，特异性为 68.5%，阳性预测值为 56.8%。
HVNS-NAF 是基于需要家庭访视护理服务的老年客户特征的第一个经过验证的标准。使用 HVNS-NAF 可能会减少家庭访视护理服务的未满足需求，并预防住院。
