| Literature DB >> 29997899 |
Susan O'Connell1, Robert Palmer1, Kathleen Withers1, Neeleem Saha2, Sarah Puntoni3, Grace Carolan-Rees1.
Abstract
BACKGROUND: The patient-reported outcome measures (PROMs), patient-reported experience measure (PREMs) and Effectiveness Programme (PPEP) launched with the aim of supporting all National Health Service Wales (NHS Wales) organisations to collect PROMs and PREMs across a range of conditions. The aim is to collect generic and condition-specific PROMs and PREMs electronically from every secondary care patient in Wales to provide a measure that can be used to determine the clinical and cost-effectiveness of treatments and services. This study reports on the experience of the PPEP in developing an electronic platform suitable for large-scale data collection, storage, analysis and reporting and identifies the problems encountered and solutions implemented using a generic PROM survey as an example.Entities:
Keywords: E-PROMs; Electronic PROMs; PROMs; Patient experience; Patient involvement; Patient-reported outcome measures
Year: 2018 PMID: 29997899 PMCID: PMC6030752 DOI: 10.1186/s40814-018-0282-8
Source DB: PubMed Journal: Pilot Feasibility Stud ISSN: 2055-5784
Generic PROM components
| Component | Purpose | Description |
|---|---|---|
| Consent | Person completing the form can indicate whether they are the patient or completing the PROM on behalf of a patient | |
| EQ-5D-5L | Validated tool to assess patient health state | 5 dimensions |
| Work Productivity and Activity Impairment | Validated tool to measure health-related work productivity loss for the employed population | |
| About You | Additional questions designed to collect data on important factors which may affect patients health and outcomes | Questions included: |
Electronic PROM collection roll-out
| Health board | Site | System used | Forms used |
|---|---|---|---|
| Betsi Cadwaladr UHBa | Ysbyty Gwynedd | In-clinic | Hip + generic |
| Ysbyty Glan Clwyd | In-clinic | Hip + generic | |
| Ysbyty Maelor | In-clinic | Hip + generic | |
| Central | At-home | Hip + generic | |
| Aneurin Bevan UHBa | Nevill Hall | In-clinic | Hip + generic |
| Royal Gwent | In-clinic | Hip + generic | |
| Cardiff and Vale University Health Board | Across whole UHB | At-home | Generic onlyb |
| Hywel Dda UHB | Bronglais General Hospital | In-clinic | Hip + generic |
| Withybush General Hospital | In-clinic | Hip + generic | |
| Glangwili General Hospital | In-clinic | Hip + generic | |
| Abertawe Bro Morgannwg UHB | Morriston Hospital | In-clinic | Tonsillectomy onlyc |
| Cwm Taf UHB | Across whole UHB | At-home | Hip + generic |
aCollection currently on hold
bGeneric collection has been rolled out across the whole health board, and individual condition-specific tools will be added as they are agreed and validated
cGeneric survey not active yet
Fig. 1Electronic PROM collection
Electronic validation
| Question | Issue | Suggested change |
|---|---|---|
| Year of birth | One patient misread this as “Where were you born?” | To prevent this, consider making this box numerical entry only |
| Co-morbidities | Patients were asked to select all co-morbidities relevant to them. If patients did not complete this question, it was not clear if it was because they had no co-morbidities or because they skipped the question | Added a “None of the Above” option to the question |
| Alcohol consumption | 1. Patients were asked to enter the number of units consumed. If patients did not complete this question, it was not clear if it was because they did not consume alcohol or because they skipped the question | 1. Added an option for “none” to the question |
| Smoking | Patients were asked to enter amount they smoke. If patients did not complete this question, it was not clear if it was because they did not smoke or because they skipped the question | Added an option for “none” to the question |
| Exercise | Several patients exercised regularly (e.g. 4 × 45 min swims, plus several hours of yoga) and found this difficult to add up in minutes | Patients now have the option of a range of values to select from a drop down list, for example, 1–2 and 2–3 h, to make the question more user friendly |
Fig. 2Number of incomplete questions
Demographic information
| Demographic | Group | Number of patients | % of patients |
|---|---|---|---|
| Age | 18–29 | 657 | 13.9 |
| 30–49 | 1175 | 24.8 | |
| 50–69 | 1778 | 37.6 | |
| 70–89 | 1092 | 23.1 | |
| 90+ | 27 | 0.6 | |
| Ethnicity | Arab | 19 | 0.4 |
| Bangladeshi | 10 | 0.2 | |
| Black African | 22 | 0.4 | |
| Black Caribbean | 12 | 0.2 | |
| Chinese | 26 | 0.5 | |
| Indian | 33 | 0.6 | |
| Irish | 32 | 0.6 | |
| Other Asian Background | 16 | 0.3 | |
| Other Ethnic Group | 24 | 0.5 | |
| Other Mixed Ethnic Group | 32 | 0.6 | |
| Other White Background | 171 | 3.3 | |
| Pakistani | 27 | 0.5 | |
| White and Asian | 18 | 0.4 | |
| White and Black African | 7 | 0.1 | |
| White and Black Caribbean | 24 | 0.5 | |
| White British | 4667 | 90.8 | |
| BMI | Underweight | 109 | 2.2 |
| Healthy weight | 1847 | 37.0 | |
| Overweight | 1714 | 34.4 | |
| Obese | 1319 | 26.4 | |
| Smoking status | Current smoker | 508 | 9.9 |
| Alcohol use | Over guideline | 791 | 16.5 |
| Exercise level | Does not meet recommended guideline | 3606 | 72.9 |
| Co-morbidity | Heart disease | 487 | 9.5 |
| High BP | 1341 | 26.0 | |
| Stroke | 92 | 1.8 | |
| Poor circulation | 397 | 7.7 | |
| Lung disease | 608 | 11.8 | |
| Diabetes | 484 | 9.4 | |
| Kidney disease | 95 | 1.8 | |
| Nervous system disease | 77 | 1.5 | |
| Liver disease | 48 | 0.9 | |
| Cancer | 241 | 4.7 | |
| Depression | 839 | 16.3 | |
| Arthritis | 1472 | 28.6 | |
| At least one co-morbidity | 3243 | 63.0 | |
| Number of co-morbidities | 0 | 1906 | 37.0 |
| 1 | 1570 | 30.5 | |
| 2 | 900 | 17.5 | |
| 3 | 458 | 8.9 | |
| 4 | 195 | 3.8 | |
| 5+ | 120 | 2.3 | |
| Employment status | In employment | 2291 | 45.4 |