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Utilising Electronic PROMs to Measure a Change in Health Following Elective Laparoscopic Cholecystectomy: A
Prita Daliya1,2, Dileep N Lobo3,4, Simon L Parsons1,2
1Trent Oesophago-Gastric Unit, Nottingham University Hospitals NHS Trust, , City Hospital Campus, Hucknall Road, Nottingham, UK.
Background:
The collection of patient-reported outcome measures (PROMs) has many benefits for clinical practice. However, there are many barriers that prevent them from becoming a part of routine clinical care. The aim of this feasibility study was to pilot the use of a digital platform to facilitate the routine collection of pre- and post-operative electronic PROMs (ePROMs) in participants undergoing elective laparoscopic cholecystectomy and to validate the use of existing patient-reported outcomes for our population.
Methods:
Participants scheduled for elective laparoscopic cholecystectomy were asked to complete digital versions of the Otago gallstones Condition-Specific Questionnaire (CSQ), and the RAND 36-item health survey (SF36). An assessment of methodological quality of ePROM questionnaires was also performed.
Results:
Preoperative ePROMs were completed by 200 participants undergoing laparoscopic cholecystectomy. Post-operatively attrition was high (completion at 30 days, 3 months, and 6months: n = 61, 54, and 38, respectively) due to difficulties accessing our ePROMs portal. Of those able to complete, a significant improvement in quality of life was seen across all health domains post-operatively when compared with baseline preoperative values for both disease-specific and generic PROMs. Methodological quality was assessed as good to excellent in both digital questionnaires.
Conclusion:
The collection of ePROMs is possible with current technological advances. Although it may be an acceptable, and convenient process for patients, and a useful measure of quality-of-life trends for clinicians, further developmental work is necessary to improve accessibility for patients, improve compliance, and reduce reporting bias from high attrition rates.
