Kuharic Maja, Merle James Lorenz, Cella David, Mitchell Sandra A, DiMartino Lisa, Ridgeway Jennifer L, Dizon Don S, Paudel Roshan, Austin Jessica D, Wong Sandra L, Flores Ann Marie, Cheville Andrea L, Smith Justin D
Department of Medical Social Sciences, Northwestern University, Chicago, IL, USA.
Intermountain Healthcare Department of Population Health Sciences, Spencer Fox Eccles School of Medicine at the University of Utah, Salt Lake City, UT, USA.
Implement Sci Commun. 2025 Jun 16;6(1):72. doi: 10.1186/s43058-025-00756-3.
The Normalization MeAsure Development (NoMAD) questionnaire is used to assess implementation processes based on Normalization Process Theory (NPT). However, its psychometric properties have not been extensively evaluated. This study aimed to examine the factorial validity, internal consistency, and measurement invariance at both scale and item levels of the NoMAD across three hybrid effectiveness-implementation studies determining the impact of routine symptom surveillance and guideline-based symptom management interventions in ambulatory oncology care settings.
A cross-sectional survey was conducted with 328 healthcare personnel (74.% clinicians) participating in the Improving the Management of SymPtoms during And following Cancer Treatment (IMPACT) Research Consortium between 2019 and 2024. Confirmatory factor analysis (CFA) tested the hypothesized four-factor structure (coherence, cognitive participation, collective action, reflexive monitoring). Internal consistency was assessed with McDonald's omega and Cronbach's alpha coefficients (> 0.70 acceptable). Measurement invariance was tested across research centers, professional roles, and years in current roles using multi-group CFA. Model fit was defined by standard fit indices (Comparative Fit Index (CFI) and Tucker-Lewis Index (TLI) values ≥ 0.95, Root Mean Square Error of Approximation (RMSEA) values ≤ 0.06, and Standardized Root Mean Square Residual (SRMR) values ≤ 0.08. Differential item functioning (DIF) was evaluated using ordinal logistic regression and item response theory methods (ΔR2 ≥ 0.02 indicative of meaningful DIF).
The four-factor model demonstrated good fit to the data (CFI = 0.97, TLI = 0.96, RMSEA = 0.06, SRMR = 0.05). All factor loadings were statistically significant (p < 0.001), ranging from 0.606 to 0.871. Internal consistency was satisfactory for all four constructs (Omega range: 0.789-0.864, Cronbach's alpha range: 0.782-0.863). The NoMAD exhibited configural, metric, and scalar invariance across research centers, roles, and years in the current role. One item ("The staff agree that the intervention is worthwhile") showed uniform DIF across healthcare systems (ΔR2 = 0.047), but no DIF was found by role or years in the current role.
This study supports the factorial validity, internal consistency, and measurement invariance of the NoMAD across three oncology implementation efforts. The presence of DIF in one item provides an opportunity for refinement in this healthcare context. Researchers and practitioners can use the NoMAD to assess and compare implementation processes, informing the development and evaluation of implementation strategies.
(ClinicalTrials.gov ID NCT03850912, NCT03892967, NCT03988543).
标准化测量发展(NoMAD)问卷用于基于标准化过程理论(NPT)评估实施过程。然而,其心理测量特性尚未得到广泛评估。本研究旨在检验NoMAD在三个混合有效性-实施研究中的量表和项目层面的因子效度、内部一致性和测量不变性,这些研究确定了门诊肿瘤护理环境中常规症状监测和基于指南的症状管理干预措施的影响。
对2019年至2024年期间参与癌症治疗期间及之后症状管理改善(IMPACT)研究联盟的328名医护人员(74%为临床医生)进行了横断面调查。验证性因子分析(CFA)检验了假设的四因素结构(连贯性、认知参与、集体行动、反思性监测)。使用麦克唐纳ω系数和克朗巴赫α系数评估内部一致性(>0.70可接受)。使用多组CFA在研究中心、专业角色和当前角色的年份之间测试测量不变性。模型拟合由标准拟合指数定义(比较拟合指数(CFI)和塔克-刘易斯指数(TLI)值≥0.95,近似均方根误差(RMSEA)值≤0.06,标准化均方根残差(SRMR)值≤0.08)。使用有序逻辑回归和项目反应理论方法评估差异项目功能(DIF)(ΔR2≥0.02表示有意义的DIF)。
四因素模型显示与数据拟合良好(CFI = 0.97,TLI = 0.96,RMSEA = 0.06,SRMR = 0.05)。所有因子载荷均具有统计学意义(p < 0.001),范围为0.606至0.871。所有四个结构的内部一致性都令人满意(ω系数范围:0.789 - 0.864,克朗巴赫α系数范围:0.782 - 0.863)。NoMAD在研究中心、角色和当前角色的年份之间表现出构型、度量和标量不变性。一个项目(“工作人员一致认为该干预措施是值得的”)在医疗系统中显示出一致的DIF(ΔR2 = 0.047),但在角色或当前角色的年份中未发现DIF。
本研究支持NoMAD在三项肿瘤学实施工作中的因子效度、内部一致性和测量不变性。一个项目中存在DIF为在这种医疗环境中进行改进提供了机会。研究人员和从业者可以使用NoMAD来评估和比较实施过程,为实施策略的制定和评估提供信息。
(ClinicalTrials.gov标识符NCT03850912、NCT03892967、NCT03988543)