Increasing the Sensitivity of Measures to Change

Fok, Carlotta Ching Ting; Henry, David B.

doi:10.1007/s11121-015-0545-z

Cited by 56 publications

(36 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The spiritual domain is especially important at the end of life, but this domain was not often included in existing measurement instruments [28]. For instance, the EORTC QLQ-C15-PAL also did not include certain topics that appear to be relevant for patients in the end of life: Quality of care, Preparation for death, Spirituality or Transcendence [78,90,[104][105][106][107]. The EORTC QLQ-C15-PAL was derived from the EORTC QLQ-C30 and the authors confirmed that existential or spiritual issues were mentioned by health care professionals and some patients as important additional topics to the measurement instrument.…”

Section: Discussionmentioning

confidence: 99%

Measuring health-related quality of life in patients with advanced cancer: a systematic review of self-administered measurement instruments

et al. 2018

View full text Add to dashboard Cite

Purpose Patient-reported outcome measures (PROMs) are becoming increasingly important in clinical practice. The implementation of PROMS in routine practice is challenging because information regarding psychometric quality of measurement instruments is fragmented and standardization is lacking. The aim of this study is to evaluate the quality of self-administered HRQoL measurement instruments for use in patients with advanced cancer in clinical practice. Methods A systematic literature search was performed in PubMed, Embase, PsycINFO, and CINAHL to identify studies concerning self-administered HRQoL measurement instruments in patients with advanced cancer between January 1990 and September 2016. Quality of the measurement instruments was assessed by predefined criteria derived from the COSMIN checklist. Results Sixty-nine articles relating to 39 measurement instruments met the inclusion criteria. Information regarding important measurement properties was often incomplete. None of the instruments performed sufficient on all measurement properties. Considering available information, the EORTC QLQ-C15-PAL appeared to have adequate psychometric properties, together with the EORTC QLQ-BM22. Conclusions Many of the existing HRQoL measurement instruments have not yet been evaluated in an adequate manner. Validation of self-administered HRQoL measurement instruments is an ongoing development and should be prioritized. This review contributes to improved clarity regarding the availability and quality of HRQoL measurement instruments for patients with advanced cancer and supports health care professionals in an adequate selection of suitable PROMs in clinical practice.

show abstract

Section: Discussionmentioning

confidence: 99%

Measuring health-related quality of life in patients with advanced cancer: a systematic review of self-administered measurement instruments

et al. 2018

View full text Add to dashboard Cite

show abstract

“…This enhanced granularity in understanding item level functioning allowed in IRT affords more systematic exploration of an under recognized but highly salient consideration in prevention research, related to responsiveness or sensitivity to change, which describes a measure’s accuracy in assessing change in response to intervention. Fok and Henry (2015) persuasively advocate for more routine assessment of responsiveness as a third measurement characteristic that prevention researchers should consider in addition to reliability and validity. The authors present several practical strategies that allow researchers to assess and optimize responsiveness of measurement scales.…”

Section: Refinements In Statistical Applications and Measurement Provmentioning

confidence: 99%

“…Continuing this discussion of alternative designs, Fok, Henry, and Allen (2015) describe the stepped wedge design (SWD) and the interrupted time-series design (ITSD). The SWD is a related design to the DWLD, wherein the timing of the crossover to intervention for each unit is randomized, and power is maximized when each unit has its own randomization step.…”

Section: Use Of Alternative Research Designs That Maintain Rigor Whilmentioning

confidence: 99%

“…The introduction to this Special Section (Fok, Henry, & Allen, 2015) noted an irony in how the original premise and justification for introduction of statistics in research was its ability to draw inferences using a relatively small sample drawn from the population of interest. Current advances in statistical methods allow for the kinds of finely grained analysis and detailed description of subtle intervention effects undreamed of by its earliest developers.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Why Small is Too Small a Term: Prevention Science for Health Disparities, Culturally Distinct Groups, and Community-Level Intervention

2015

Self Cite

View full text Add to dashboard Cite

Implications of the Advancing Small Sample Prevention Science Special Section are discussed. Efficiency and precision are inadequately considered in many current prevention science methodological approaches. As a result, design and analytic practices pose difficulties for the study of contextual factors in prevention, which often involve small samples. Four primary conclusions can be drawn from the Special Section. First, contemporary statistical and measurement approaches provide a number of underutilized opportunities to maximize power. These strategies maximize efficiencies by optimizing design and resource allocation parameters, allowing for the detection of effects with small samples. Second, several alternative research designs provide both rigor and further optimize efficiencies through more complete use of available information, allowing study of important questions in prevention science for which only small samples may be accessible. Third, mixed methods hold promise for enhancing the utility of qualitative data in studies with small samples. Finally, Bayesian analytic approaches, through their use of prior information, allow for even greater efficiencies in work with small samples, and through their introduction in the routines of mainstream software packages, hold particular promise as an emergent methodology in prevention research.

show abstract

“…Little attention is paid in prevention research to the ability of measures to accurately assess change; this property can be termed “responsiveness” or “sensitivity to change.” Fok and Henry (2015) review definitions and measures of responsiveness, and suggest five strategies for increasing sensitivity to change, with a central focus on prevention research with small samples. These strategies include (a) improving understandability and cultural validity, (b) assuring that the measure covers the full range of the latent construct being measured, (c) eliminating redundant items, (d) maximizing sensitivity of the device used to collect responses; and (e) asking directly about change.…”

Section: Overview Of the Special Sectionmentioning

confidence: 99%

Maybe Small Is Too Small a Term: Introduction to Advancing Small Sample Prevention Science

2015

Self Cite

View full text Add to dashboard Cite

Prevention research addressing health disparities often involves work with small population groups experiencing such disparities. The goals of this Special Section are to (1) address the question of what constitutes a small sample, (2) identify some of the key research design and analytic issues that arise in prevention research with small samples, (3) develop applied, problem-oriented, and methodologically innovative solutions to these design and analytic issues, and (4) evaluate the potential role of these innovative solutions in describing phenomena, testing theory, and evaluating interventions in prevention research. Through these efforts, we hope to promote broader application of these methodological innovations. We also seek whenever possible, to explore their implications in more general problems that appear in research with small samples but concern all areas of prevention research. This Special Section includes two sections. The first section aims to provide input for researchers at the design phase, while the second focuses on analysis. Each article describes an innovative solution to one or more challenges posed by the analysis of small samples, with special emphasis on testing for intervention effects in prevention research. A concluding article summarizes some of their broader implications, along with conclusions regarding future directions in research with small samples in prevention science. Finally, a commentary provides the perspective of the federal agencies that sponsored the conference that gave rise to this Special Section.

show abstract

Increasing the Sensitivity of Measures to Change

Cited by 56 publications

References 47 publications

Measuring health-related quality of life in patients with advanced cancer: a systematic review of self-administered measurement instruments

Measuring health-related quality of life in patients with advanced cancer: a systematic review of self-administered measurement instruments

Why Small is Too Small a Term: Prevention Science for Health Disparities, Culturally Distinct Groups, and Community-Level Intervention

Maybe Small Is Too Small a Term: Introduction to Advancing Small Sample Prevention Science

Contact Info

Product

Resources

About