Opioid prescribing rates are high in the North East and North Cumbria region of England. The COVID-19 pandemic has interrupted the existing regional programme that aims to reduce the use of opioid medications, and also prescribing is likely to have increased during the lockdown. Thus, it has become increasingly challenging for primary care to dedicate sustained clinical time to tackle this complex issue with patients, who may also be reluctant to seek help. A video messaging intervention based upon a GP consultation was developed to remotely explain the rationale for opioid reduction and facilitate self-initiation of support. The short video suitable for smartphone viewing is messaged using a two-way communication system. Patients can watch the video and request additional support by replying with a simple text or email response. This enables efficient delivery of a discrete offer of help to at risk individuals who often avoid service contact. The aim of this study is to evaluate the potential benefits, risks and economic consequences of 'at scale' implementation. This study will be a mixed methods study comprising of a quasi-experimental non-randomised before-and-after study and qualitative interviews. In the first phase, the intervention arm will comprise 50 GP practices in the region using System 1 who will deliver the video to their patients. The control arm comprises 50 practices in the region using EMIS who will continue care as usual. The unit of analysis is the GP practice, with no individual-level quantitative data collected. Monthly practice level data will be accessed and followed up for 6 months. A general linear model will be used to estimate the association between the exposure (video message vs. control) and the outcome (opioid prescribing). In the second phase, semi-structured interviews will be undertaken remotely with purposively selected participants including patients who received the video and health professionals involved in sending out the videos. These interviews will be audio recorded with participants' consent, transcribed and analysed thematically. As well as evidence and rapid insights to inform the potential accelerated implementation of the intervention within the Integrated Care System, this study will provide evidence that could underpin the future adoption of the intervention into wide scale clinical management that can be disseminated as a future national programme via the Academic Health Science Network.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
DOUBLE
Enrollment
100
The five-minute video will be sent to the patient's mobile phone, outlining reasons to reduce opioid use and highlighting the support available. It invites patients to consider 3 responses: 1. I would like to reduce my opioid medication with support. 2. I understand this video but I want to continue my current dose. 3. I would like to speak to someone to understand more. Option 1) will enable the GP practice to initiate existing opioid reduction support, Option 2) will continue care and support as usual, and Option 3) will enable the team to offer more information.
LCRN
Newcastle, United Kingdom
LCRN
Newcastle, United Kingdom
Change from baseline line opioids analgesics assessed as Average Daily Quantity (ADQ)/1000 Specific Therapeutic group Age-sex Related Prescribing Unit (STAR PU) at 6 months
This is a practice level data collected monthly by electronic Prescribing Analysis and Costs (ePACT2) by North of England Commissioning Support Unit (NECS). NECS has agreed to support data requests and access.
Time frame: Up to 7 months
Change from baseline line all opioids (adding in compound analgesics) Average Daily Quantity (ADQ)/1000 Specific Therapeutic group Age-sex Related Prescribing Unit (STAR PU)at 6 months
This is a practice level data collected monthly by electronic Prescribing Analysis and Costs (ePACT2) by North of England Commissioning Support Unit (NECS). NECS has agreed to support data requests and access.
Time frame: Up to 7 months
Change from baseline line gabapentinoid (gabapentin&pregabalin) Average Daily Quantity (ADQ)/1000 Specific Therapeutic group Age-sex Related Prescribing Unit (STAR PU) at 6 months
This is a practice level data collected monthly by electronic Prescribing Analysis and Costs (ePACT2) by North of England Commissioning Support Unit (NECS). NECS has agreed to support data requests and access.
Time frame: Up to 7 months
Change from baseline line high dose opioid items as percentage regular opioids
Information on high dose opioid items as percentage regular opioids will be collected from the publicly accessible dataset (OpenPrescribing.net), which records monthly data on opioid items with likely daily dose of ≥120mg morphine equivalence compared with prescribing of all items of these opioids.
Time frame: Up to 7 months
The number (proportion) of individuals who were followed up by the practice within 1 month of choosing Options 1) and 3), will be quantified being sent the message.
Intervention usage
Time frame: Up to 7 months
The percentage of the video watched by participants who were sent the video
Fidelity
Time frame: Up to 7 months
Intervention costs
Intervention costs will be estimated based on interviews with the developer of the videos and GP practice stakeholders to understand the licence costs and the opportunity costs of practice staff time in finding the appropriate population to whom the videos will be sent. If applicable, the investigators will estimate any additional resources needed by people receiving videos who decide to reduce or eliminate their opioid use, who may need GP practice visits to discuss this.
Time frame: Up to 7 months
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