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Using Multivariate Statistics

This new edition of Ann Bowling's well-known and highly respected text has been thoroughly revised and updated to reflect key methodological developments in health research. It is a comprehensive, easy to read, guide to the range of methods used to study and evaluate health and health services. It describes the concepts and methods used by the main disciplines involved in health research, including: demography, epidemiology, health economics, psychology and sociology.The research methods described cover the assessment of health needs, morbidity and mortality trends and rates, costing health services, sampling for survey research, cross-sectional and longitudinal survey design, experimental methods and techniques of group assignment, questionnaire design, interviewing techniques, coding and analysis of quantitative data, methods and analysis of qualitative observational studies, and types of unstructured interviewing. With new material on topics such as cluster randomization, utility analyses, patients' preferences, and perception of risk, the text is aimed at students and researchers of health and health services. It has also been designed for health professionals and policy makers who have responsibility for applying research findings in practice, and who need to know how to judge the value of that research.

Research Methods in Health. Investigating health and health services

CROMBACH, Lee J., GLESER, Goldine C., NANDA, Harinder & RAJARATNAM, Nageswar. The dependability of behavioral measurements: theory of generalizability for scores and profiles. New York, John Wiley and Sons, 1972.

The dependability of behavioral measurements: theory of generalizability for scores and profiles

Patients with multiple myeloma report more problems with quality of life (QoL) than other haematological malignancies over the course of their incurable illness. The patient-centred Myeloma Patient Outcome Scale (MyPOS) was developed to assess and monitor symptoms and supportive care factors in routine care. Our aim was to translate and culturally adapt the outcome measure to the German context, and to explore its face and content validity. Translation and cultural adaptation following established guidelines used an exploratory, sequential mixed method study design. Steps included: (1) forward translation to German; (2) backward translation to English; (3) expert review; (4) focus groups with the target population (patients, family members, healthcare professionals) to achieve conceptual equivalence; (5) cognitive interviews using Tourangeau’s model with think-aloud technique to evaluate comprehension and acceptability; (6) final review. Results were analysed using thematic analysis. Cultural and linguistic differences were noted between the German and English original version. The focus groups (n = 11) and cognitive interviews (n = 9) both highlighted the need for adapting individual items and their answer options to the German healthcare context. Greater individuality regarding need for information with the right to not be informed was elaborated by patients. While the comprehensive nature of the tool was appreciated, item wording regarding satisfaction with healthcare was deemed not appropriate in the German context. Before implementation into routine care, patients’ concerns about keeping their MyPOS data confidential need to be addressed as a barrier, whereas the MyPOS itself was perceived as a facilitator/prompt for a patient-centred discussion of QoL issues. With adaptations to answer options and certain items, the German version of the MyPOS can help monitor symptoms and problems afflicting myeloma patients over the course of the disease trajectory. It can help promote a model of comprehensive supportive and patient-centred care for these patients.

/pdf/challenges-in-the-cultural-adaptation-of-the-german-myeloma-49d8a3rzgd.pdf

Challenges in the cultural adaptation of the German Myeloma Patient Outcome Scale (MyPOS): an outcome measure to support routine symptom assessment in myeloma care

New treatment options have significantly improved the life expectancy of myeloma patients such that their cause of death is increasingly likely to be from something other than myeloma. Furthermore, the adverse effects of short- or long-term treatments as well as the disease are impacting on quality of life (QoL) for longer periods of time. Understanding people's QoL and what is important to them, is part of providing holistic care. Although QoL data has been collected for many years in myeloma studies, they have not been used to inform patient outcomes. There is growing evidence that supports the assessment of 'fitness' and consideration of QoL as part of routine myeloma care. A national survey was carried out to discover which QoL tools are currently being used in the routine care of myeloma patients, by whom and at which time point.An online survey using SurveyMonkey was adopted for flexibility and accessibility. The link to the survey was circulated via Bloodwise, Myeloma UK and Cancer Research UK contact lists. Paper questionnaires were circulated at the UK Myeloma Forum.Data about practices in 26 centres were collected. This included sites across England and Wales. Three out of 26 centres collect QoL data as part of standard care. QoL tools used include EORTC QLQ-My20/24, MyPOS, FACT-BMT and Quality of Life Index. Questionnaires were completed by patients before, during or after a clinic appointment. Clinical nurse specialists calculate the scores and create a care plan.Despite growing evidence to support an holistic approach to management of myeloma patients, there is a lack of evidence to confirm that health-related QoL is being addressed in standard care. This is an area that needs further research. 

A survey of quality-of-life tools used in the routine care of patients with multiple myeloma

The Myeloma Patient Outcome Scale (MyPOS) was developed to measure quality of life in routine clinical care. The aim of this study was to determine its longitudinal validity, reliability, responsiveness to change and its acceptability. This 14-centre study recruited patients with multiple myeloma. At baseline and then every two months for 5 assessments, patients completed the MyPOS. Psychometric properties evaluated were as follows: (a) confirmatory factor analysis and scaling assumptions (b) reliability: Generalizability theory and Rasch analysis, (c) responsiveness and minimally important difference (MID) relating changes in scores between baseline and subsequent assessments to an external criterion, (d) determining the acceptability of self-monitoring. 238 patients with multiple myeloma were recruited. Confirmatory factor analysis found three subscales; criteria for scaling assumptions were satisfied except for gastrointestinal items and the Healthcare support scale. Rasch analysis identified limitations of suboptimal scale-to-sample targeting, resulting in floor effects. Test–retest reliability indices were good (R = > 0.97). Responsiveness analysis yielded an MID of +2.5 for improvement and -4.5 for deterioration. The MyPOS demonstrated good longitudinal measurement properties, with potential areas for revision being the Healthcare Support subscale and the rating scale. The new psychometric approaches should be used for testing validity of monitoring in clinical settings.

/pdf/longitudinal-validity-and-reliability-of-the-myeloma-patient-481grcglsr.pdf

Longitudinal validity and reliability of the Myeloma Patient Outcome Scale (MyPOS) was established using traditional, generalizability and Rasch psychometric methods

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Longitudinal validity and reliability of the Myeloma Patient Outcome Scale (MyPOS) was established using traditional, generalizability and Rasch psychometric methods