Dataset Information

Psychometric properties of the Malay version of the Women's Views of Birth Labour Satisfaction Questionnaire using the Rasch measurement model: a cross sectional study.

ABSTRACT: BACKGROUND:Birth satisfaction represents a complex construct of implicit and profound relevance to a woman's perceived birth experience. It correlates with the childbearing woman's experience of the quality of care received and stress during labor. This study aimed to examine the psychometric properties of the Malay language version of the Women's Views of Birth Labour Satisfaction Questionnaire (WOMBLSQ) on labor satisfaction using the Rasch rating scale model. METHODS:A cross-sectional study was conducted. The translated Malay version of the WOMBLSQ was completed by 200 postpartum women in a tertiary hospital. The Rasch model was applied to investigate the statistics, unidimensionality, item polarity and misfit, person misfit and person item distribution map. RESULTS:The Rasch analysis showed that the 27 items, in nine dimensions, had high item reliability and item separation at 0.98 and 7.65 respectively, while good person reliability and person separation were at 0.78 and 1.90, respectively. Item 6 ('My birth partner/husband couldn't have supported me any better') (outfit MnSq?=?1.74, outfit z-std?=?6.9, PtMea Corr?=?-?0.02) and Item 5 ('My birth partner/husband helped me to understand what was going on when I was in labor') (outfit MnSq?=?1.65, outfit z-std?=?2.9, PtMea Corr?=?0.13) are misfit. Item 6 needs to be re-examined for removal or rephrasing, while Item 5 correlates poorly with the construct. Eight persons have the most misfitting response strings based on Item 6 but extremely trivial differences were found in the parameter estimates after refitting the model. Ten items easily endorse satisfaction from the respondents. CONCLUSION:The WOMBLSQ tested among postpartum women has been shown to have a good person reliability index and a high item reliability index. Items 5 and 6 do not contribute in the construction of scale but not degrading and suggested for refining. The spread of item difficulty should be improved in the future modification of items.

SUBMITTER: Norhayati MN

PROVIDER: S-EPMC7227260 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Psychometric properties of the Malay version of the Women's Views of Birth Labour Satisfaction Questionnaire using the Rasch measurement model: a cross sectional study.

Norhayati Mohd Noor MN Fatin Imtithal Adnan A Nor Akma Mat Junoh MJ

BMC pregnancy and childbirth 20200514 1

<h4>Background</h4>Birth satisfaction represents a complex construct of implicit and profound relevance to a woman's perceived birth experience. It correlates with the childbearing woman's experience of the quality of care received and stress during labor. This study aimed to examine the psychometric properties of the Malay language version of the Women's Views of Birth Labour Satisfaction Questionnaire (WOMBLSQ) on labor satisfaction using the Rasch rating scale model.<h4>Methods</h4>A cross-se ...[more]

PMID: 32408901

Similar Datasets

Project description:BackgroundMobile health (mHealth) apps offer great opportunities to deliver large-scale, cost-efficient digital solutions for implementing lifestyle changes. Furthermore, many mHealth apps act as medical devices. Yet, there is little research on how to assess user satisfaction with an mHealth solution.ObjectiveThis study presents the development of the mHealth Satisfaction Questionnaire and evaluates its measurement properties.MethodsRespondents who took part in the Health Integrator Study and were randomized to use the Health Integrator smartphone app for lifestyle changes (n=112), with and without additional telephone coaching, rated their satisfaction with the app using the new 14-item mHealth Satisfaction Questionnaire. The ratings were given on a 5-point Likert scale and measurement properties were evaluated using Rasch measurement theory (RMT).ResultsOptimal scoring was reached when response options 2, 3, and 4 were collapsed, giving three response categories. After omitting two items that did not fit into the scale, fit residuals were within, or close to, the recommended range of ±2.5. There was no differential item functioning between intervention group, age group, or sex. The Person Separation Index was 0.79, indicating that the scale's ability to discriminate correctly between person leniency was acceptable for group comparisons but not for individual evaluations. The scale did not meet the criterion of unidimensionality; 16.1% (18/112) of the respondents were outside the desired range of -1.96 to 1.96. In addition, several items showed local dependency and three underlying dimensions emerged: negative experiences, positive experiences, and lifestyle consequences of using the mHealth solution.ConclusionsIn times where mHealth apps and digital solutions are given more attention, the mHealth Satisfaction Questionnaire provides a new possibility to measure user satisfaction to ensure usability and improve development of new apps. Our study is one of only a few cases where RMT has been used to evaluate the usability of such an instrument. There is, though, a need for further development of the mHealth Satisfaction Questionnaire, including the addition of more items and consideration of further response options. The mHealth Satisfaction Questionnaire should also be evaluated in a larger sample and with other mHealth apps and in other contexts.Trial registrationClinicalTrials.gov NCT03579342; http://clinicaltrials.gov/ct2/show/NCT03579342.

Project description:BACKGROUND:Person-centred care is the bedrock of modern dementia services, yet the evidence-base to support its implementation is not firmly established. Research is hindered by a need for more robust measurement instruments. The 14-item Person-Centred Climate Questionnaire - Staff version (PCQ-S) is one of the most established scales and has promising measurement properties. However, its construction under classical test theory methods leaves question marks over its rigour and the need for evaluation under more modern testing procedures. METHODS:The PCQ-S was self-completed by nurses and other care staff working across nursing homes in 35 Swedish municipalities in 2013/14. A Rasch analysis was undertaken in RUMM2030 using a partial credit model suited to the Likert-type items. Three subscales of the PCQ-S were evaluated against common thresholds for overall fit to the Rasch model; ordering of category thresholds; unidimensionality; local dependency; targeting; and Differential Item Functioning. Three subscales were evaluated separately as unidimensional models and then combined as subtests into a single measure. Due to large number of respondents (n?=?4381), two random sub-samples were drawn, with a satisfactory model established in the first ('evaluation') and confirmed in the second ('validation'). Final item locations and a table converting raw scores to Rasch-transformed values were created using the full sample. RESULTS:All three subscales had disordered thresholds for some items, which were resolved by collapsing categories. The three subscales fit the assumptions of the Rasch model after the removal of two items, except for subscale 3, where there was evidence of local dependence between two items. By forming subtests, the 3 subscales were combined into a single Rasch model which had satisfactory fit statistics. The Rasch form of the instrument (PCQ-S-R) had an adequate but modest Person Separation Index (<?0.80) and some evidence of mistargeting due to a low number of 'difficult-to-endorse' items. CONCLUSIONS:The PCQ-S-R has 12 items and can be used as a unidimensional scale with interval level properties, using the nomogram presented within this paper. The scale is reliable but has some inefficiencies due to too few high-end thresholds inhibiting discrimination amongst populations who already perceive that person-centred care is very good in their environment.

Dataset Information

Psychometric properties of the Malay version of the Women's Views of Birth Labour Satisfaction Questionnaire using the Rasch measurement model: a cross sectional study.

Publications

Psychometric properties of the Malay version of the Women's Views of Birth Labour Satisfaction Questionnaire using the Rasch measurement model: a cross sectional study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets