Your English writing platform
Discover LudwigSuggestions(5)
Exact(50)
Six Patient-Reported Outcome Measurement Information System short form measures have negligible age- or diagnosis-related differential item functioning in individuals with disabilities.
The Patient Reported Outcomes Measurement Information System (PROMIS) pediatric measures were developed to capture child self-reports across a variety of health conditions experienced by children and adolescents.
The program was revised after two years to streamline the data entry process and to include three Patient Reported Outcome Measurement Information System (PROMIS) questionnaires measuring pain, general health, and physical functioning.
Measuring participation: the Patient-Reported Outcomes Measurement Information System experience.
To evaluate the validity of the Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function measures using longitudinal data collected in six chronic health conditions.
IRT has been used to develop a new generation of widely used health profile measures including the Patient-Reported Outcomes Measurement Information System (PROMIS®) [ 6].
Similar(10)
The NIH developed the Patient Reported Outcomes Measurement Information System PROMISS) to provide a standardized assessment designed to complement traditional outcomes measures.
The PROMIS HAQ (Patient-Reported Outcomes Measurement Information System Health Assessment, Questionnaire) 19 measures the functional and physical ability of the participants (washing, dressing, arising, eating, walking, hygiene, reach, grip and activity).
The Patient-Reported Outcomes MeassessmentInfofmathen System (PROMimpactlofs assessment of the impachronichroniconditionsns on health-related quality of life (HRQL) across diseases.
The 7-item Patient Reported Outcome Measurement Information System (PROMIS) Cancer Fatigue Short Form scale was recently developed using item response theory (IRT).
To apply the Patient-Reported Outcomes Measurement Information System (PROMIS) recently developed by the National Institutes of Health in patients with chronic pelvic pain.
More suggestions(2)
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com