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Adaptation and content validation of measure yourself medical outcomes profile (MYMOP) for 7-11 year-old children
S Ishaque1,2, R M Roberts3, J Karnon4
1School of Public Health, The University of Adelaide, Adelaide, South Australia, Australia. sana.ishaque@flinders.edu.au.
Insights
This study adapted and validated the Paediatric Measure Yourself Medical Outcome Profile (P-MYMOP) for children aged 7-11. The P-MYMOP is the first content-validated, individualized health-related quality of life measure for this age group.
Area of Science:
- Pediatric Health Outcomes Research
- Patient-Reported Outcome Measures
- Health-Related Quality of Life (HRQOL)
Background:
- The Measure Yourself Medical Outcome Profile (MYMOP) is an individualized tool validated for adults but not for children.
- Individualized instruments assess patient-specific issues across various health conditions.
- There is a need to validate the MYMOP for pediatric use.
Purpose of the Study:
- To adapt and content validate the MYMOP for children aged 7-11 years.
- To develop a pediatric version of the MYMOP (P-MYMOP).
Main Methods:
- Four iterations involving expert consultation (pediatricians, HRQOL experts) and interviews with child-parent pairs.
- Thematic analysis using an inductive, interpretative approach.
- Draft P-MYMOP completed by 25 children (7-11 years) from general medicine and diabetes/endocrine clinics.
Main Results:
- Experts recommended several changes to the MYMOP.
- Most children could identify their problems and activity limitations.
- All children understood the 7-point faces scale, and most parents/children found the P-MYMOP useful before clinic appointments.
Conclusions:
- The P-MYMOP is the first content-validated, generic, individualized HRQOL measure for children aged 7-11.
- Further research is needed to assess the feasibility, reliability, and construct validity of the P-MYMOP.
Background:
The Measure Yourself Medical Outcome Profile (MYMOP) is an individualised tool designed for adults but used with children without any evidence of validation in this population. Individualised instruments are patient-specific rather than disease-specific and therefore can be applied across various health conditions. This study sought to adapt, and content validate the MYMOP for application in 7-11 year old children.
Methods:
There were two main phases of the four iterations: expert consultation (three rounds) and interviews with child-parent pairs at the Outpatient clinics of a Children's Hospital. Thematic analysis was undertaken using an inductive, interpretative approach.
Results:
Four paediatricians completed the first survey, five paediatricians participated in the focus group, and four paediatric health-related quality of life (HRQOL) research experts completed the second survey. Several changes were recommended to the MYMOP by the expert groups. Twenty-five children (17 general medicine, and 8 diabetes/endocrine clinic) aged 7-11 years completed the draft paediatric MYMOP (P-MYMOP) and were interviewed. Results demonstrated that the majority of participants were able to identify their own problems and activity limitations, and all participants understood the 7-point faces scale. Most parents and children perceived that the P-MYMOP would be useful to complete before clinic appointments.
Conclusions:
The P-MYMOP is the first content-validated generic individualised HRQOL measure for children 7-11 years old. Given that validation is an iterative process, further research to assess its feasibility, reliability, and construct validity is required.
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