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BMJ (Clinical Research Ed.) May 2004Anybody can write down a list of questions and photocopy it, but producing worthwhile and generalisable data from questionnaires needs careful planning and imaginative... (Review)
Review
Anybody can write down a list of questions and photocopy it, but producing worthwhile and generalisable data from questionnaires needs careful planning and imaginative design
Topics: Data Collection; Decision Making; Research Design; Sampling Studies; Surveys and Questionnaires
PubMed: 15166072
DOI: 10.1136/bmj.328.7451.1312 -
BMJ (Clinical Research Ed.) Jul 1992To test the acceptability, validity, and reliability of the short form 36 health survey questionnaire (SF-36) and to compare it with the Nottingham health profile.
OBJECTIVES
To test the acceptability, validity, and reliability of the short form 36 health survey questionnaire (SF-36) and to compare it with the Nottingham health profile.
DESIGN
Postal survey using a questionnaire booklet together with a letter from the general practitioner. Non-respondents received two reminders at two week intervals. The SF-36 questionnaire was retested on a subsample of respondents two weeks after the first mailing.
SETTING
Two general practices in Sheffield.
PATIENTS
1980 patients aged 16-74 years randomly selected from the two practice lists.
MAIN OUTCOME MEASURES
Scores for each health dimension on the SF-36 questionnaire and the Nottingham health profile. Response to questions on recent use of health services and sociodemographic characteristics.
RESULTS
The response rate for the SF-36 questionnaire was high (83%) and the rate of completion for each dimension was over 95%. Considerable evidence was found for the reliability of the SF-36 (Cronbach's alpha greater than 0.85, reliability coefficient greater than 0.75 for all dimensions except social functioning) and for construct validity in terms of distinguishing between groups with expected health differences. The SF-36 was able to detect low levels of ill health in patients who had scored 0 (good health) on the Nottingham health profile.
CONCLUSIONS
The SF-36 is a promising new instrument for measuring health perception in a general population. It is easy to use, acceptable to patients, and fulfils stringent criteria of reliability and validity. Its use in other contexts and with different disease groups requires further research.
Topics: Adolescent; Adult; Aged; Attitude to Health; England; Female; Health Status; Health Surveys; Humans; Male; Mental Health; Middle Aged; Reproducibility of Results; Surveys and Questionnaires
PubMed: 1285753
DOI: 10.1136/bmj.305.6846.160 -
JMIR MHealth and UHealth Apr 2019After a mobile health (mHealth) app is created, an important step is to evaluate the usability of the app before it is released to the public. There are multiple ways of...
BACKGROUND
After a mobile health (mHealth) app is created, an important step is to evaluate the usability of the app before it is released to the public. There are multiple ways of conducting a usability study, one of which is collecting target users' feedback with a usability questionnaire. Different groups have used different questionnaires for mHealth app usability evaluation: The commonly used questionnaires are the System Usability Scale (SUS) and Post-Study System Usability Questionnaire (PSSUQ). However, the SUS and PSSUQ were not designed to evaluate the usability of mHealth apps. Self-written questionnaires are also commonly used for evaluation of mHealth app usability but they have not been validated.
OBJECTIVE
The goal of this project was to develop and validate a new mHealth app usability questionnaire.
METHODS
An mHealth app usability questionnaire (MAUQ) was designed by the research team based on a number of existing questionnaires used in previous mobile app usability studies, especially the well-validated questionnaires. MAUQ, SUS, and PSSUQ were then used to evaluate the usability of two mHealth apps: an interactive mHealth app and a standalone mHealth app. The reliability and validity of the new questionnaire were evaluated. The correlation coefficients among MAUQ, SUS, and PSSUQ were calculated.
RESULTS
In this study, 128 study participants provided responses to the questionnaire statements. Psychometric analysis indicated that the MAUQ has three subscales and their internal consistency reliability is high. The relevant subscales correlated well with the subscales of the PSSUQ. The overall scale also strongly correlated with the PSSUQ and SUS. Four versions of the MAUQ were created in relation to the type of app (interactive or standalone) and target user of the app (patient or provider). A website has been created to make it convenient for mHealth app developers to use this new questionnaire in order to assess the usability of their mHealth apps.
CONCLUSIONS
The newly created mHealth app usability questionnaire-MAUQ-has the reliability and validity required to assess mHealth app usability.
Topics: Adolescent; Adult; Aged; Female; Humans; Male; Middle Aged; Pennsylvania; Psychometrics; Reproducibility of Results; Surveys and Questionnaires; Technology Assessment, Biomedical; Telemedicine; Validation Studies as Topic
PubMed: 30973342
DOI: 10.2196/11500 -
Arthritis Care & Research Nov 2011
Review
Measures of symptoms and disease status in ankylosing spondylitis: Ankylosing Spondylitis Disease Activity Score (ASDAS), Ankylosing Spondylitis Quality of Life Scale (ASQoL), Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Bath Ankylosing Spondylitis Functional Index (BASFI), Bath...
Topics: Health Status Indicators; Humans; Quality of Life; Severity of Illness Index; Spondylitis, Ankylosing; Surveys and Questionnaires
PubMed: 22588768
DOI: 10.1002/acr.20575 -
Worldviews on Evidence-based Nursing Apr 2020Clinicians' knowledge and skills for evidence-based practice (EBP) and organizational climate are important for science-based care. There is scant literature regarding...
BACKGROUND
Clinicians' knowledge and skills for evidence-based practice (EBP) and organizational climate are important for science-based care. There is scant literature regarding aligning organizational culture with EBP implementation and even less for unit and organizational culture. The Nursing EBP Survey examines individual, unit, and organizational factors to better understand registered nurses' (RN) self-reported EBP.
AIMS
Establish and confirm factor loading, reliability, and discriminant validity for the untested Nursing EBP Survey.
METHODS
The study employed a descriptive cross-sectional survey design and was targeted for RNs. The setting included 14 hospitals and 680 medical offices in Southern California. The 1999 instrument consisted of 22 items; 7 items were added in 2005 for 29 items. The questionnaire used a 5 point, Likert-type scale. The survey website opened in November 2016 and closed after 23 weeks. Psychometric testing and factor determination used parallel analysis, exploratory factor analysis, confirmatory factor analysis (CFA), and ANOVA post hoc comparisons.
RESULTS
One thousand one hundred and eighty-one RNs completed the survey. All factor loadings in the CFA model were positive and significant (p < .001). All standardized loadings ranged from .70 to .94. The covariance estimate between Factor 1 and Factor 2 was marginally significant (p = .07). All other covariances and error variances were significant (p < .001). Final factor names were Practice Climate (Factor 1), Data Collection (Factor 2), Evidence Appraisal (Factor 3), Implementation (Factor 4), and Access to Evidence (Factor 5). Four of 5 factors showed significant differences between education levels (p < .05 level). All factors showed significant differences (p < .05) between inpatient and ambulatory staff, with higher scores for inpatient settings.
LINKING EVIDENCE TO ACTION
Nurses' knowledge, attitudes, and skills for EBP vary. The 2019 Nursing EBP survey offers RNs direction to plan and support improvement in evidence-based outcomes and tailors future EBP initiatives.
Topics: Adult; Cross-Sectional Studies; Evidence-Based Nursing; Female; Humans; Male; Middle Aged; Reproducibility of Results; Surveys and Questionnaires
PubMed: 32233058
DOI: 10.1111/wvn.12432 -
Medical Teacher Jun 2014In this AMEE Guide, we consider the design and development of self-administered surveys, commonly called questionnaires. Questionnaires are widely employed in medical...
In this AMEE Guide, we consider the design and development of self-administered surveys, commonly called questionnaires. Questionnaires are widely employed in medical education research. Unfortunately, the processes used to develop such questionnaires vary in quality and lack consistent, rigorous standards. Consequently, the quality of the questionnaires used in medical education research is highly variable. To address this problem, this AMEE Guide presents a systematic, seven-step process for designing high-quality questionnaires, with particular emphasis on developing survey scales. These seven steps do not address all aspects of survey design, nor do they represent the only way to develop a high-quality questionnaire. Instead, these steps synthesize multiple survey design techniques and organize them into a cohesive process for questionnaire developers of all levels. Addressing each of these steps systematically will improve the probabilities that survey designers will accurately measure what they intend to measure.
Topics: Education, Medical; Humans; Interviews as Topic; Pilot Projects; Reproducibility of Results; Research; Review Literature as Topic; Surveys and Questionnaires
PubMed: 24661014
DOI: 10.3109/0142159X.2014.889814 -
BMJ (Clinical Research Ed.) May 1993To gain population norms for the short form 36 health survey questionnaire (SF36) in a large community sample and to explore the questionnaire's internal consistency and...
OBJECTIVES
To gain population norms for the short form 36 health survey questionnaire (SF36) in a large community sample and to explore the questionnaire's internal consistency and validity.
DESIGN
Postal survey by using a booklet containing the SF36 and several other items concerned with lifestyles and illness.
SETTING
The sample was drawn from computerised registers of the family health services authorities for Berkshire, Buckinghamshire, Northamptonshire, and Oxfordshire.
SAMPLE
13,042 randomly selected subjects aged 18-64 years.
MAIN OUTCOME MEASURES
Scores for the eight health dimensions of the SF36.
RESULTS
The survey achieved a response rate of 72% (n = 9332). Internal consistency of the different dimensions of the questionnaire was high. Normative data broken down by age, sex, and social class were consistent with those from previous studies.
CONCLUSIONS
The SF36 is a potentially valuable tool in medical research. The normative data provided here may further facilitate its validation and use.
Topics: Adolescent; Adult; Age Factors; England; Female; Health Status; Health Surveys; Humans; Male; Middle Aged; Postal Service; Random Allocation; Sex Factors; Surveys and Questionnaires
PubMed: 8518639
DOI: 10.1136/bmj.306.6890.1437 -
Nutricion Hospitalaria Nov 2016Health-related quality of life (HRQoL) provides a global view of the state of health of a patient receiving home enteral nutrition (HEN). (Observational Study)
Observational Study
INTRODUCTION
Health-related quality of life (HRQoL) provides a global view of the state of health of a patient receiving home enteral nutrition (HEN).
OBJECTIVE
To evaluate the HRQoL of patients receiving HEN using the NutriQoL® questionnaire, a specific instrument regardless of the underlying disease and route of administration.
MATERIALS AND METHODS
Observational, prospective and multicentre study conducted in the context of the validation and assessment of the NutriQoL® questionnaire's psychometric properties.
RESULTS
One-hundred-and-forty individuals [disease: cancer (58.6%), malabsorption and other (27.1%), neurological (13.6%); HEN: supplement (61.4%), sole source of nutrition (35.7%); administration route: oral (54.3%), ostomy (31.4%), nasoenteric tube (12.1%)] participated. NutriQoL® was reliable [ICC: 0.88 (95%CI: 0.80-0.93); Cronbach's α: 0.77 (1st visit) and 0.83 (2nd visit)], valid (significant Rho), lowly sensitive to changes (effect size 0.23), can be completed by either patients or caregivers (ICC: 0.82). The mean HRQoL (SD) with NutriQoL® was 14.98 (14.86), EQ-5D tariff: 53(0.25), EQ-5D VAS: 54.15 (20.64) and COOP/WONCA charts: 23.32(5.66). HRQoL with NutriQoL® was better (p < 0.05) for oral HEN [19.54 (13,23)], than nasoenteric tube [14(11.71)], ostomy [7.02 (15.48)]; administered orally [19.54 (13.23)], than by gravity [10.97 (14.46)], pump [8.5 (19.78)] or syringe bolus [7 (11.40)]; as a supplement [19.33 (13.73)] instead of sole source of nutrition [8.18 (14.23)].
CONCLUSIONS
NutriQoL® is valid, reliable, even if lowly sensitive to change, and useful to measure HRQoL in this population. More studies are needed to know HRQoL in routine practice.
Topics: Adolescent; Adult; Aged; Female; Health Status Indicators; Humans; Male; Middle Aged; Parenteral Nutrition, Home; Prospective Studies; Quality of Life; Reproducibility of Results; Surveys and Questionnaires; Young Adult
PubMed: 28000451
DOI: 10.20960/nh.769 -
Medical Education Online Jul 2013
Topics: Humans; Patient Satisfaction; Reproducibility of Results; Surveys and Questionnaires
PubMed: 23883565
DOI: 10.3402/meo.v18i0.21747 -
BMC Public Health Oct 2013Several measurement tools have been developed to measure health literacy. The tools vary in their approach and design, but few have focused on comprehensive health...
BACKGROUND
Several measurement tools have been developed to measure health literacy. The tools vary in their approach and design, but few have focused on comprehensive health literacy in populations. This paper describes the design and development of the European Health Literacy Survey Questionnaire (HLS-EU-Q), an innovative, comprehensive tool to measure health literacy in populations.
METHODS
Based on a conceptual model and definition, the process involved item development, pre-testing, field-testing, external consultation, plain language check, and translation from English to Bulgarian, Dutch, German, Greek, Polish, and Spanish.
RESULTS
The development process resulted in the HLS-EU-Q, which entailed two sections, a core health literacy section and a section on determinants and outcomes associated to health literacy. The health literacy section included 47 items addressing self-reported difficulties in accessing, understanding, appraising and applying information in tasks concerning decisions making in healthcare, disease prevention, and health promotion. The second section included items related to, health behaviour, health status, health service use, community participation, socio-demographic and socio-economic factors.
CONCLUSIONS
By illuminating the detailed steps in the design and development process of the HLS-EU-Q, it is the aim to provide a deeper understanding of its purpose, its capability and its limitations for others using the tool. By stimulating a wide application it is the vision that HLS-EU-Q will be validated in more countries to enhance the understanding of health literacy in different populations.
Topics: Adult; Ethnicity; Europe; Female; Health Literacy; Health Status Indicators; Health Surveys; Humans; Language; Male; Middle Aged; Reproducibility of Results; Surveys and Questionnaires
PubMed: 24112855
DOI: 10.1186/1471-2458-13-948