Tapering opioids for chronic pain can be challenging for both patients and prescribers, both of whom may be unsure of what to expect in terms of pain, distress, activity interference, and withdrawal symptoms over the first few weeks and months of the taper. To better prepare clinicians to provide patient-centred tapering support, the current research used prospective longitudinal qualitative methods to capture individual-level variation in patients' experience over the first few months of a voluntary physician-guided taper. The research aimed to identify patterns in individuals' experience of tapering and explore whether patient characteristics, readiness to taper, opioid tapering self-efficacy, or psychosocial context were related to tapering trajectory. Twenty-one patients with chronic noncancer pain commencing tapering of long-term opioid therapy were recruited from a metropolitan tertiary pain clinic (n 5 13) and a regional primary care practice (n 5 8). Semistructured phone interviews were conducted a mean of 8 times per participant over a mean duration of 12 weeks (N 5 173). Four opioid-tapering trajectories were identified, which we characterised as thriving, resilient, surviving, and distressed. High and low readiness to taper was a defining characteristic of thriving and distressed trajectories, respectively. Life adversity was a prominent theme of resilient and distressed trajectories, with supportive relationships buffering the effects of adversity for those who followed a resilient trajectory. Discussion focuses on the implications of these findings for the preparation and support of patients with chronic pain who are commencing opioid tapering.

Background Patients with chronic pain who are tapering prescription opioids report a need for greater support for coping with symptoms of pain and withdrawal. Mobile health (mHealth) technologies (SMS text messaging– or app-based) have the potential to provide patients with educational, emotional, and motivational support for opioid tapering beyond what is offered by their health care provider. However, it is not known whether patients with chronic pain who are tapering opioids would be willing or able to engage with technology-based support. Objective This study aims to examine patients’ use of mobile technologies in health care, interest in using mHealth support, preferences for the form and content of mHealth support, and potential barriers to and facilitators of engagement with mHealth support for opioid tapering. Methods A total of 21 patients (11 women and 10 men; age range 29-83 years) with chronic noncancer pain on long-term opioid therapy who had recently initiated a voluntary opioid taper were recruited from primary and tertiary care clinics in metropolitan and regional Australia for a larger study of patients’ experiences of opioid tapering. Participants had been taking prescription opioids for a mean duration of 13 (SD 9.6; range 0.25-30) years at the time of the study. Survey items characterized participants’ typical mobile phone use and level of interest in mobile technology–based support for opioid tapering. Semistructured interviews further explored patients’ use of mobile technologies and their interest in, preferences for, and perspectives on potential barriers to and facilitators of engagement with mHealth support for opioid tapering. Two researchers collaborated to conduct a thematic analysis of the interview data. Results All participants reported owning and using a mobile phone, and most (17/21, 81%) participants reported using mobile apps. The majority of participants expressed interest in SMS text messaging–based (17/21, 81%) and app-based (15/21, 71%) support for opioid tapering. Participants expected that messages delivering both informational and socioemotional support would be helpful. Participants expected that access to technology, mobile reception, internet connectivity, vision impairment, and low self-efficacy for using apps may be barriers to user engagement. Patients expected that continuity of care from their health care provider, flexible message dosing, responsivity, and familiarity with pain self-management strategies would increase user engagement. Conclusions The results of this study indicate that patients with chronic noncancer pain may be willing to engage with SMS text messaging–based and app-based mHealth interventions to support opioid tapering. However, the feasibility and acceptability of these interventions may depend on how patients’ preferences for functionality, content, and design are addressed.

IntroductionOpioid medications are no longer recommended as long-term therapy for chronic non-cancer pain, and many patients are advised to reduce or discontinue opioid medications. Many patients report difficulties in tapering opioid medications, necessitating supporting interventions. This protocol describes a pilot randomised controlled trial (RCT) to investigate the acceptability, feasibility and potential efficacy of a mobile health intervention to improve the opioid tapering self-efficacy of patients with chronic non-cancer pain.Methods and analysisThe trial will be a single-blind (clinician, data collector and statistician-blinded) pilot RCT with two parallel arms. Forty adult patients with chronic non-cancer pain who are voluntarily reducing their prescribed opioid medications under medical guidance will be recruited from two tertiary pain clinics (Start date 25 August 2021). Participants will be randomly assigned to an intervention or control group. Both groups will receive usual care, including multidisciplinary pain management. In addition to usual care, the intervention group will receive a short informational and testimonial video about opioid tapering and will receive two specifically text messages per day for 28 days. The intervention is codesigned with patients and clinicians to provide evidence-based informational, motivational and emotional support to patients with chronic pain to taper opioid medications. Feasibility of the intervention and a future definitive RCT will be evaluated by measuring patient acceptability, delivery of the intervention, rates and reasons of exclusions and drop-outs, completion rates and missing data in the study questionnaires, and obtaining estimates for sample size determination. Potential efficacy will be evaluated by comparing changes in opioid tapering self-efficacy between the two groups.Ethics and disseminationThe study protocol was reviewed and approved by the Northern Sydney Local Health District (Australia). Study results will be published in peer-reviewed journals and presented at scientific and professional meetings.Trial registration numberACTRN12621000795897.

ObjectiveTo review interventions to reduce long term opioid treatment in people with chronic non-cancer pain, considering efficacy on dose reduction and discontinuation, pain, function, quality of life, withdrawal symptoms, substance use, and adverse events.DesignSystematic review and meta-analysis of randomised controlled trials and non-randomised studies of interventions.Data sourcesMedline, Embase, PsycINFO, CINAHL, and the Cochrane Library searched from inception to July 2021. Reference lists and previous reviews were also searched and experts were contacted.Eligibility criteria for study selectionOriginal research in English. Case reports and cross sectional studies were excluded.Data extraction and synthesisTwo authors independently selected studies, extracted data, and used the Cochrane risk-of-bias tools for randomised and non-randomised studies (RoB 2 and ROBINS-I). Authors grouped interventions into five categories (pain self-management, complementary and alternative medicine, pharmacological and biomedical devices and interventions, opioid replacement treatment, and deprescription methods), estimated pooled effects using random effects meta-analytical models, and appraised the certainty of evidence using GRADE (grading of recommendations, assessment, development, and evaluation).ResultsOf 166 studies meeting inclusion criteria, 130 (78%) were considered at critical risk of bias and were excluded from the evidence synthesis. Of the 36 included studies, few had comparable treatment arms and sample sizes were generally small. Consequently, the certainty of the evidence was low or very low for more than 90% (41/44) of GRADE outcomes, including for all non-opioid patient outcomes. Despite these limitations, evidence of moderate certainty indicated that interventions to support prescribers’ adherence to guidelines increased the likelihood of patients discontinuing opioid treatment (adjusted odds ratio 1.5, 95% confidence interval 1.0 to 2.1), and that these prescriber interventions as well as pain self-management programmes reduced opioid dose more than controls (intervention v control, mean difference –6.8 mg (standard error 1.6) daily oral morphine equivalent, P<0.001; pain programme v control, −14.31 mg daily oral morphine equivalent, 95% confidence interval −21.57 to −7.05).ConclusionsEvidence on the reduction of long term opioid treatment for chronic pain continues to be constrained by poor study methodology. Of particular concern is the lack of evidence relating to possible harms. Agreed standards for designing and reporting studies on the reduction of opioid treatment are urgently needed.Review registrationPROSPERO CRD42020140943.

Background People living with chronic pain report that tapering prescribed opioids is challenging and more support is needed. In our formative research, consumers indicated that mobile health (mHealth) technology could be an acceptable form of support for opioid tapering and may improve tapering self-efficacy. Objective We aimed to evaluate and improve the content of an mHealth intervention before pilot-testing, based on consumer and clinician feedback. Methods Participants were 12 consumers and 12 clinicians who evaluated an initial draft of a video script and 90 SMS text messages. Consumers and clinicians rated the appropriateness and likely usefulness (consumers) or likely effectiveness (clinicians) of a video script and a random selection of 15 SMS text messages using a 5-point Likert-type scale (1=totally disagree; 5=totally agree). Each draft SMS text message was reviewed by 2 consumers and 2 clinicians. Texts were deemed acceptable for inclusion in the pilot intervention only if the summed participant ratings of text appropriateness and usefulness or effectiveness were ≥8. Participants were also invited to provide open-text feedback on the draft script and SMS text messages. Results Consumers generally agreed that the draft video script and text content were likely to be appropriate (video: mean 4.4, SD 0.52; text: mean 4.3, SD 0.79) and useful (video: mean 4.3, SD 0.65; text: mean 4.2, SD 0.84). Similarly, clinicians generally agreed that the draft video script and text content were likely to be appropriate (video: mean 4.5, SD 0.67; text: mean 4.4, SD 0.81) and effective (video: mean 4.0, SD 0.43; text: mean 4.3, SD 0.76). Overall, 77% (69/90) of the draft texts met the threshold rating for acceptability for inclusion in the pilot test of mHealth intervention by consumers, and 82% (74/90) met the threshold for acceptability by clinicians. Consumers' and clinicians’ ratings were used to rank order the texts. The top 56 draft texts (all meeting the threshold levels of acceptability) were selected for inclusion in the pilot intervention. When consumer or clinician feedback was provided, the texts meeting the criteria for inclusion in the pilot were further revised and improved. Feedback on the video script was also used to further improve the acceptability of the video script before pilot-testing the intervention. Conclusions This study describes the process by which a 28-day mHealth intervention to support patients with chronic pain to taper opioid medications was evaluated and improved before pilot-testing. The mHealth intervention consisted of a 10-minute psychoeducational video about pain and opioid tapering and 56 unique SMS text messages providing information and reassurance (texts delivered twice per day for 28 days). Having established that the content of the mHealth intervention is acceptable to both consumer and clinician groups, the mHealth intervention will be piloted in future research.