Published on 13.03.20 in Vol 9, No 3 (2020): March
Preprints (earlier versions) of this paper are available at http://preprints.jmir.org/preprint/15540, first published Jul 18, 2019.
Impact of Removing Nonprescription Codeine in Australia: Protocol for a Prospective Cohort Study
Background: On February 1, 2018, Australia rescheduled codeine to a prescription-only medication. Many concerns were associated with this change, including increased financial costs, reduced service accessibility, the potential for poorer pain management, and a decline in physical and mental health if codeine could not be accessed. In the research literature, there is limited knowledge about the long-term consequences of rescheduling pharmaceutical opioids and, as Australia has followed many countries in implementing a restriction on codeine, further study of these consequences is critical.
Objective: The goal of this study was to examine the impact of rescheduling codeine from an over-the-counter (OTC) product to a prescription-only medicine on the primary measures of codeine use and dependence in a prospective cohort of people who are frequent consumers of OTC codeine. Secondary measures included pain and self-efficacy, health service use, and mental health.
Methods: The Codeine Cohort study aimed to recruit 300 participants in Australia who regularly (at least a few times per week for the past 6 months) used OTC codeine. Using an online survey, participants were followed up at three time points (February 2018, June 2018, and February 2019) after codeine was rescheduled.
Results: All four waves of data collection are complete, with the final round of data collection finalized in August 2019. Data analyses are yet to be completed. Information on demographics, codeine use and dependence, physical and mental health, medication use, and health service use will be analyzed using mixed models.
Conclusions: Results of this study will provide insight into the effectiveness of regulatory restriction in curtailing nonmedical use of and harms associated with codeine. Additionally, results will explore positive and negative outcomes of codeine rescheduling for individual patients, which informs health professionals who support patients who use codeine and further community education.
International Registered Report Identifier (IRRID): DERR1-10.2196/15540
JMIR Res Protoc 2020;9(3):e15540
Crowdfunding campaign to support this specific research
We help JMIR researchers to raise funds to pursue their research and development aimed at tackling important health and technology challenges. If you would like to show your support for this author, please donate using the button below. The funds raised will directly benefit the corresponding author of this article (minus 8% admin fees). Your donations will help this author to continue publishing open access papers in JMIR journals. Donations of over $100 may also be acknowledged in future publications.
Suggested contribution levels: $20/$50/$100
Codeine is the most commonly used opioid in the world . Regulation of its availability varies among countries; in New Zealand, the United Kingdom, most of Canada, and Ireland, codeine is available as an over-the-counter (OTC) preparation and is often combined with paracetamol or a nonsteroidal anti-inflammatory drug (NSAID) such as ibuprofen [ ]. Despite its wide use, there are a number of concerns about codeine as an analgesic, with risks of prolonged misuse of OTC codeine-ibuprofen products including life-threatening complications such as gastric bleeds, renal failure, hypokalemia, and opioid dependence [ , ].
In addition to risk of serious harm, there is limited evidence for the addition of low-dose codeine (16 to 25 mg of codeine per dose) to paracetamol or ibuprofen preparations for improved pain relief [- ]. This, coupled with the known availability of effective nonopioid alternatives for pain relief [ - ], raises concerns about the place of low-dose codeine in ongoing pain management.
International awareness of the misuse of OTC pharmaceuticals containing codeine is growing [- ], and government responses have predominantly focused on upscheduling (increasing prescribing restrictions), improving guidelines and procedures around the supply of low-dose codeine preparations. For instance, the United States, Japan, India, and most of Europe are moving toward making pharmaceuticals containing codeine prescription-only medications [ , ].
Although upscheduling is an important regulatory response, this is not reflected with many studies in the research literature. For example, when hydrocodone combination products became restricted in the United States in 2014 , few studies explored the impact of this change on individuals. One study was conducted through a pain association in the United States, following thousands of individuals seeking support [ ]. An online survey was used to evaluate the short-term (100 days) impact following the rescheduling of hydrocodone. Participants reported being placed on less effective medications, increased costs, inconvenience, and negative shifts in their relationships with health professionals. As other countries consider making similar changes to codeine and other opioids, further research to review the longer term implications of rescheduling is needed. Unintended potential consequences of rescheduling and restricting supply include fewer pain relief options for consumers, movement toward stronger opioids, and an increased burden on health care systems [ , ].
Restriction of OTC codeine product availability in Australia began in May 2010 . Codeine preparations were required to be stored behind the counter and pack sizes reduced to a maximum 5-day supply. Despite these restrictions, OTC codeine remained widely used. In 2013, more than 15 million packets of OTC codeine were sold in Australia [ ], representing almost one pack per person aged over 15 years [ ]. Furthermore, OTC codeine accounted for 37% of opioid sales in the general community [ ]. Despite the initial upscheduling, concerns in Australia with the misuse of OTC codeine products increased [ ], with reports of growing numbers of patients with codeine dependence presenting to emergency departments and drug treatment services [ , , ].
In December 2016, the Therapeutic Goods Administration of Australia determined that the limited therapeutic gain offered was outweighed by the evidence of harm associated with OTC codeine use, and the products were moved to schedule 4 (prescription only), effective February 1, 2018 . This decision was based on concerns regarding the harmful side effects of codeine use as well as the known availability of safer OTC products (eg, ibuprofen-paracetamol combinations) with comparable efficacy [ ].
Prior to the upscheduling of codeine in Australia, regular consumers of OTC codeine and health professionals queried whether this decision would, in fact, reduce codeine-related harms . Participants were concerned about other unintended consequences, including poorer pain management, limited physical health, and increased emotional distress. It is important to study the outcomes of rescheduling decisions to determine if health professional and consumer concerns are realized and also to understand the impact of rescheduling decisions more broadly, given that this is a common regulatory lever used by governments internationally. To address this need, this study sought to evaluate the impact of rescheduling codeine in a prospective cohort of regular codeine users who were assessed 3 months prior to and followed for 12 months after the February 2018 rescheduling.
The goal of this study was to examine the impact of rescheduling codeine from an OTC product to a prescription-only medicine on the primary measures of codeine use and dependence in a prospective cohort of people who are frequent consumers of OTC codeine. Secondary measures included pain and pain self-efficacy, health service use, and mental health.
Study Design and Setting
The Codeine Cohort study was an online-based single-center prospective longitudinal study. Participants were recruited in November 2017, and those who were eligible were invited to complete the first online survey for November 2017 (baseline). Codeine was rescheduled to prescription-only on February 1, 2018, and follow-up surveys were completed 1 month (end of February 2018), 4 months (June 2018), and 12 months (February 2019) after this rescheduling. These time points were selected to allow sufficient evaluation of the immediate, short-term, and long-term effects of the rescheduling. To allow as many participants as possible to respond, data collection for the third time point (February 2019) was finalized by August 2019. Data analyses are yet to be completed.
Ethics Approval and Consent to Participate
This study was approved by the Human Research Ethics Committee of the University of Tasmania (HREC reference number: H0016685).
Participants were required to be at least aged 18 years and living in Australia. They were asked about the frequency of their codeine use at the screening stage and offered the following response options: every day, a few times a week, once a week, a few times a month, at least monthly, or less than monthly. Eligible participants were required to have used OTC codeine at least a few times per week or more for the previous 6 months. This threshold for frequency of use was based on results from a previous online study of codeine consumers where the top third of participants were using OTC codeine once a week or more . A threshold of a few times per week or more was adopted to allow a sufficiently high baseline of codeine use from which any changes in this measure over time could be detected.
Participants who self-reported that they were in current treatment for codeine dependence were excluded from the study as changes in their codeine use as a result of treatment rather than policy change may confound the interpretability of the study results.
Measures used in this study covered a range of domains including demographic information, health service use, pain and coping, physical and mental health, and codeine use and codeine dependence. Areas evaluated in this study were based on key concerns raised by health professionals and consumers in a previous study evaluating attitudes about codeine rescheduling in Australia . Measures used were based on recommendations made by the Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials [ ] and previous studies exploring opiate use using online surveys [ , ]. Measures, domains, and time points at which data were collected are summarized in .
|Age, sex, accommodation||—||x|
|Health service use|
|Use of physician, pharmacist, and emergency department for codeine||—||x||x||x||x|
|Pain and coping||PSEQd||x||x||x||x|
|Codeine use and dependence||x||x|
|Current medication||Self-complete 7-day medication diary||x||x||x||x|
|Nonmedication treatment options||—||x||x||x||x|
aT1: 1 month after rescheduling.
bT2: 4 months after rescheduling.
cT3: 12 months after rescheduling.
dPSEQ: Pain Self-Efficacy Questionnaire.
ePEG: Pain Intensity, Enjoyment of Life and General Activity Assessment Tool.
fPHQ-9: Patient Health Questionnaire, 9-item.
gGAD-7: Generalized Anxiety Disorder 7-item Scale.
hAUDADIS-5 CIDI: Alcohol Use Disorder and Associated Disabilities Interview Schedule–5 Composite International Diagnostic Interview.
iSDS: Severity of Dependence Scale.
jCDS: Codeine Dependence Scale.
Alcohol Use Disorder and Associated Disabilities Interview Schedule–5
Past year codeine use disorder symptoms were assessed using the Alcohol Use Disorder and Associated Disabilities Interview Schedule–5 (AUDADIS-5) . The reliability and validity of the AUDADIS-5 in relation to substance abuse and dependence disorders for a range of drugs is well documented in several international studies [ , ]. To assess withdrawal symptoms, 12 symptoms were taken from the Composite International Diagnostic Interview (CIDI): substance abuse module. The CIDI is a standardized diagnostic interview designed for assessing mental disorders (including substance use disorders) according to the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, and Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) [ ]. Diagnosis of codeine withdrawal was operationalized consistently with DSM-5 opioid withdrawal criteria [ ] (at least 3 opioid withdrawal symptoms present concurrently at a distressing level or withdrawal relief). As the AUDADIS-5 may only be administered every 12 months, this measure was used at baseline (November 2017) and the third time point (February 2019).
A medication diary was used to assess all medication use retrospectively for the past 7 days. Included were questions about the medication name, strength (mg), dose, number of times taken per day, and how many days that dose was taken across the last week.
Severity of Dependence Scale
The Severity of Dependence Scale (SDS) was used as a brief screener for possible codeine dependence. This has been validated with a range of substances, including heroin, cocaine, amphetamines [- ], benzodiazepines [ ], cocaine [ ], cannabis [ ], and alcohol [ ]. In addition to a range of substances, the SDS has also been validated with problematic analgesic use (including combination products containing codeine) [ ] where a cutoff of 5 or more demonstrated reasonable sensitivity (72.3%) and specificity (78.6%) for identifying individuals who may be problematic users of analgesics [ , ].
Codeine Dependence Scale
The Codeine Dependence Scale (CDS) was used as an additional measure of possible codeine dependence . The CDS has 4 questions and is statistically validated against the SDS (based on an SDS score of ≥5). It has a cutoff value of ≥2 and has high sensitivity (84%) and specificity (94%) for identifying likely cases of codeine dependence [ ].
Pain Intensity, Enjoyment of Life, and General Activity Assessment Tool
The Pain Intensity, Enjoyment of Life, and General Activity Assessment Tool (PEG) is a brief measure of pain with 3 items evaluating pain intensity and the level of interference in general activity and enjoyment of life . It is derived from the widely used Brief Pain Inventory. The PEG demonstrates excellent internal consistency and good construct validity, with a sensitivity to change (at 6 months postbaseline) consistent with the Brief Pain Inventory [ ] and demonstrated responsiveness to clinical interventions [ ].
Pain Self-Efficacy Questionnaire
The Pain Self-Efficacy Questionnaire (PSEQ) is a 10-item questionnaire that assesses the confidence people feel in completing a number of activities despite experiencing pain . The PSEQ has demonstrated adequate reliability and validity [ ] and has been used in a wide variety of clinical populations, countries, and languages [ - ].
Patient Health Questionnaire–9 Item
The Patient Health Questionnaire–9 item (PHQ-9) is a 9-item questionnaire that examines symptoms of depression as defined in the DSM-5 [, ]. Scores indicate the severity of depressive symptoms, with a maximum score of 27. Scores of 5, 10, 15, and 20 represent mild, moderate, moderately severe, and severe depression, respectively [ ]. The PHQ-9 has demonstrated validity [ , ] and has been used widely in research, clinical practice, and surveys of mental health [ - ].
Generalized Anxiety Disorder 7-Item Scale
The Generalized Anxiety Disorder 7-item Scale (GAD-7) is a 7-item questionnaire that evaluates symptoms of generalized anxiety disorder. Scores of 5, 10, and 15 indicated mild, moderate, and severe anxiety, respectively . The GAD-7 has demonstrated satisfactory validity and strong clinical utility in primary care settings and in the broader population [ - ].
Health Service Use
The health service use questions included in this online survey assessed the number of visits with a physician, pharmacist, and emergency department in the past 3 months related to codeine use. These questions were adapted from the Pain and Opioids In Treatment cohort study .
Participant Recruitment and Procedure
Participants were recruited through professional and personal networks; posts on relevant internet health forums and organizations (eg, Pain Australia, Pharmacy Guild); and University of Tasmania, University of New South Wales, and National Drug and Alcohol Research Centre media releases and emails to research participants from a previous study who had consented to be contacted for future participation opportunities . Social media, including Facebook advertisements and Twitter, was also used, as it has been demonstrated to enable recruitment of greater populations of participants with high levels of substance use and associated issues [ ].
Potential participants were directed to an internet survey using Research Electronic Data Capture , where they were given detailed study information and asked to provide informed consent and answer a few brief screening questions to assess eligibility (including questions on age, living location, and frequency of codeine use). Eligible participants were invited to complete the first online survey (November 2017, baseline) by email using a unique and secure link. The first survey took between 20 and 30 minutes to complete. Participants were placed in a prize draw to win one of twenty $100 gift vouchers at baseline (November 2017) and were reimbursed with a $20 gift voucher at each of the three follow-up time points (February 2018, June 2018, and February 2019). Data collection for the final time point was completed by August 2019. Contact details including an email address and phone number were collected at baseline to enable communication over the course of the study.
A number of cohort management strategies were employed based on a Cochrane review and meta-analysis of participant retention . First, participants were reimbursed for their research contribution. Second, a number of methods were used to contact participants and encourage them to participate, including reminder emails when a follow-up stage of data collection had commenced. Additionally, text messages with their unique survey link and phone calls to participants were made, if email reminders were insufficient in encouraging participants to complete the survey at that time point.
Eligibility criteria were not disclosed so that participant responses could not be tailored to ensure study entry. Part of a participant’s eligibility was determined from their answers to a screening question about the frequency of their codeine use in the last 6 months. Finally, at baseline (November 2017) participant reimbursement was a prize draw rather than a voucher to reduce the likelihood of those who would participate for monetary gain.
Data analyses for the Codeine Cohort study are yet to be completed. Assuming statistical assumptions are met for the primary outcome of total daily codeine dose (mg; continuous variable), mixed-model analyses will be conducted. For the primary outcome of codeine dependence (categorical), generalized linear mixed models will be applied. In the case of missing data for both aims, sensitivity analyses will be conducted with a full information dataset (all data collected from each individual), a last observation carry-forward dataset, and a dataset derived from multivariate imputation of missing data. In the event of the number of usable observations not meeting requirements from power calculations, regression results from the dataset with multivariate imputation will be used (subject to sensitivity analyses).
Logical model-building processes (ie, stepwise regression) will be applied to the development of these models with covariates including demographics, physical and mental health, and pain. Secondary analyses will be conducted using similar analytic frameworks taking into account the nature of the outcome variable under study.
Sample Size and Power
Power analyses were conducted to estimate a sufficient sample size required to assess the potential effects of codeine restriction on two primary outcomes: continuous measures of codeine use per day and rates of dependence (categorical).
Average Total Codeine Use per Day (Averaged Dose in Milligrams Over the Preceding 7 Days)
Using a repeated measures analysis of variance framework with four assessment points and 200 participants, there is power of 0.8 or greater to detect an effect size as small as Cohen f=0.1 as statistically significant for the main effect of time where there are correlations among repeated measurements as low as r=.20 and even smaller magnitude effects (f=0.08) where correlations are the more likely r=.50. In a Web survey of codeine consumers by Nielsen et al , daily codeine use had a mean of 68 (SD 72) mg. These power calculations suggest that there would be sufficient power to identify a drop from 68 to 53 mg per day in the daily codeine dose variable as statistically significant, assuming this range of correlations and this standard deviation of scores. This is a little more than a single 12.8 mg nonprescription (OTC) codeine tablet, and therefore, is of an appropriate magnitude for this study.
Rates of Dependence
Detailed assessment of dependence was completed at baseline and T3 (only) using the AUDADIS-5 . In order to compare rates of dependence at these two time points, a comparison of correlated proportions can be made with a McNemar test. A sample size of 249 pairs achieves 80% power to detect a difference between two paired proportions of 0.1 at an alpha level of .05, when the proportion at baseline is 0.2 and the proportion at T3 is 0.1. The proportion of discordant pairs is 0.3. Approximately 20% of regular OTC codeine users are dependent (46); therefore, it was assumed that 20% of the study cohort could be defined as dependent at baseline. Assuming a 20% dropout rate [ ], a sample size of 300 was considered appropriate to meet both of these aims.
All four rounds of data collection for the Codeine Cohort study are complete. Data analyses are underway currently and results from the study will be published in 2020.
Prior to the rescheduling of OTC codeine in Australia, individuals who regularly used codeine (consumers) indicated their concern whether rescheduling would minimize codeine-related harms (including dependence) and the impact the requirement of a prescription for codeine would have on their emotional and physical health, their pain management, and overall quality of life (29). Pharmacists shared consumer concerns and were focused on the burden regular doctor appointments would create in terms of finances for consumers.
Examination of administrative data such as sales, prescriptions, and emergency presentations provides some information as to the success of upscheduling at the population level. This study will contribute to an improved understanding of the outcomes, positive and negative, associated with codeine rescheduling for the individual patient, which informs where further community education and intervention are needed most. Also, by exploring whether codeine rescheduling leads to reduced codeine use and levels of dependence, this study will provide insight into the overall effectiveness of regulatory restriction in curtailing misuse of pharmaceutical opioids.
Strengths and Limitations
In terms of strengths, this is a novel study; to the knowledge of the authors, a prospective online cohort investigating the longer term impacts (over 12 months) of codeine rescheduling on the individual patient has not been studied before. Additionally, a number of measures were used, including multiple measures of codeine dependence. In terms of limitations, the study has a modest sample size and the generalizability of findings to the general population might be limited, as the sample comprised self-selected participants in an online study.
This study was funded through an internal grant within the School of Medicine, University of Tasmania.
The study was conceived by JM, RB, and SN. JM, RB, and SN provided input into the study design and research questions. RB and SN developed the statistical analysis plan. JM completed the first draft of the manuscript with input from RB and SN. JM, RB, and SN reviewed the manuscript and provided input into the final draft.
Conflicts of Interest
SN is an investigator on untied educational grants from Indivior that are unrelated to this work and has received honoraria for providing training on identification and treatment of codeine and other opioid dependence (Indivior). SN is an investigator on research grants from Seqirus to understand harms of ambulance and emergency department attendances from pharmaceutical opioids which is unrelated to this work. SN is the recipient of an National Health and Medical Research Council Research Fellowship (#1163961). RB was an investigator on an untied education grant from Mundipharma to conduct postmarketing surveillance on oxycodone and an untied educational grant from Reckitts Benkiser to develop a scale to identify extramedical use of pharmaceutical opioids.
- International Narcotics Control Board. Narcotic drugs: estimated world requirements for 2015, statistics for 2013-2015. URL: https://www.incb.org/documents/Narcotic-Drugs/Technical-Publications/2014/Narcotic_Drugs_Report_2014.pdf [accessed 2019-12-16]
- Nielsen S, Van Hout MC. Over-the-counter codeine—from therapeutic use to dependence, and the grey areas in between. Curr Top Behav Neurosci 2017;34:59-75. [CrossRef] [Medline]
- Dobbin M, Tobin CL. Over-the-counter (OTC) ibuprofen/codeine analgesics: misuse and harm. In: National Drugs and Poisons Schedule Committee Paper. Melbourne: Drugs Policy and Services Branch, Department of Human Services; May 22, 2008.
- Frei MY, Nielsen S, Dobbin MDH, Tobin CL. Serious morbidity associated with misuse of over-the-counter codeine-ibuprofen analgesics: a series of 27 cases. Med J Aust 2010 Sep 06;193(5):294-296. [Medline]
- Bruni JR, Holt RE. Controlled double-blind evaluation of three analgesic medications for postpartum discomfort. Obstet Gynecol 1965 Jan;25:76-81. [Medline]
- Skjelbred P, Løkken P. Codeine added to paracetamol induced adverse effects but did not increase analgesia. Br J Clin Pharmacol 1982 Oct;14(4):539-543 [FREE Full text] [CrossRef] [Medline]
- Walton GM, Rood JP. A comparison of ibuprofen and ibuprofen-codeine combination in the relief of post-operative oral surgery pain. Br Dent J 1990 Oct 20;169(8):245-247. [Medline]
- Dahl E, Feldmann G, Jönsson E. Acetylsalicylic acid compared with acetylsalicylic acid plus codeine as postoperative analgesics after removal of impacted mandibular third molars. Swed Dent J 1985;9(5):207-212. [Medline]
- McQuay HJ, Carroll D, Watts PG, Juniper RP, Moore RA. Codeine 20 mg increases pain relief from ibuprofen 400 mg after third molar surgery: a repeat-dosing comparison of ibuprofen and an ibuprofen-codeine combination. Pain 1989 Apr;37(1):7-13. [Medline]
- Mitchell A, van Zanten SV, Inglis K, Porter G. A randomized controlled trial comparing acetaminophen plus ibuprofen versus acetaminophen plus codeine plus caffeine after outpatient general surgery. J Am Coll Surg 2008 Mar;206(3):472-479. [CrossRef] [Medline]
- Daniels SE, Goulder MA, Aspley S, Reader S. A randomised, five-parallel-group, placebo-controlled trial comparing the efficacy and tolerability of analgesic combinations including a novel single-tablet combination of ibuprofen/paracetamol for postoperative dental pain. Pain 2011 Mar;152(3):632-642. [CrossRef] [Medline]
- Sniezek PJ, Brodland DG, Zitelli JA. A randomized controlled trial comparing acetaminophen, acetaminophen and ibuprofen, and acetaminophen and codeine for postoperative pain relief after Mohs surgery and cutaneous reconstruction. Dermatol Surg 2011 Jul;37(7):1007-1013. [CrossRef] [Medline]
- McAvoy BR, Dobbin MDH, Tobin CL. Over-the-counter codeine analgesic misuse and harm: characteristics of cases in Australia and New Zealand. N Z Med J 2011 Nov 25;124(1346):29-33. [Medline]
- Orriols L, Gaillard J, Lapeyre-Mestre M, Roussin A. Evaluation of abuse and dependence on drugs used for self-medication: a pharmacoepidemiological pilot study based on community pharmacies in France. Drug Saf 2009;32(10):859-873. [CrossRef] [Medline]
- Roussin A, Bouyssi A, Pouché L, Pourcel L, Lapeyre-Mestre M. Misuse and dependence on non-prescription codeine analgesics or sedative H1 antihistamines by adults: a cross-sectional investigation in France. PLoS One 2013;8(10):e76499 [FREE Full text] [CrossRef] [Medline]
- Cracknell C. The Connexion: French News and Views. 2017 Jun 13. Codeine now restricted to prescription-only URL: https://www.connexionfrance.com/French-news/Codeine-now-restricted-to-prescription-only [accessed 2019-12-16]
- Therapeutic Goods Administration, Department of Health, Australian Government. 2018 Apr 04. Codeine information hub: Codeine use can be harmful URL: https://www.tga.gov.au/codeine-information-hub-codeine-use-can-be-harmful [accessed 2019-12-16]
- Traynor K. DEA reschedules hydrocodone, makes changes to controlled substance disposal. Am J Health Syst Pharm 2014 Nov 15;71(22):1916-1918. [CrossRef] [Medline]
- Chambers J, Gleason RM, Kirsh KL, Twillman R, Webster L, Berner J, et al. An online survey of patients' experiences since the rescheduling of hydrocodone: the first 100 days. Pain Med 2016 Dec;17(9):1686-1693. [CrossRef] [Medline]
- Gudin J, Lee AJ. The downside of upscheduling. Pain Med 2013 Nov;14(11):1628-1629. [CrossRef] [Medline]
- Le Roux K. Marketing of CPS. South African Pharmaceut J 2013;80(5):45-46.
- Therapeutic Goods Administration. 2010 Feb 24. Codeine rescheduling—information for sponsors URL: https://www.tga.gov.au/codeine-rescheduling-information-sponsors [accessed 2019-12-16]
- Gisev N, Nielsen S, Cama E, Larance B, Bruno R, Degenhardt L. An ecological study of the extent and factors associated with the use of prescription and over-the-counter codeine in Australia. Eur J Clin Pharmacol 2016 Apr;72(4):469-494. [CrossRef] [Medline]
- Degenhardt L, Gisev N, Cama E, Nielsen S, Larance B, Bruno R. The extent and correlates of community-based pharmaceutical opioid utilisation in Australia. Pharmacoepidemiol Drug Saf 2016 Dec;25(5):521-538. [CrossRef] [Medline]
- Cairns R, Brown JA, Buckley NA. The impact of codeine re-scheduling on misuse: a retrospective review of calls to Australia's largest poisons centre. Addiction 2016 Dec;111(10):1848-1853. [CrossRef] [Medline]
- McDonough MA. Misuse of codeine-containing combination analgesics. Med J Aust 2011 May 02;194(9):486. [Medline]
- Pilgrim JL, Dobbin M, Drummer OH. Fatal misuse of codeine-ibuprofen analgesics in Victoria, Australia. Med J Aust 2013 Sep 02;199(5):329-331. [Medline]
- Therapeutic Goods Administration. 2016 Dec 20. Update on the proposal for the rescheduling of codeine products: codeine containing medicines to move to prescription only URL: https://www.tga.gov.au/media-release/update-proposal- rescheduling-codeine-products [accessed 2019-12-16]
- McCoy J, Bruno R, Nielsen S. Attitudes in Australia on the upscheduling of over-the-counter codeine to a prescription-only medication. Drug Alcohol Rev 2018 Dec;37(2):257-261. [CrossRef] [Medline]
- Nielsen S, Cameron J, Pahoki S. Opportunities and challenges: over-the-counter codeine supply from the codeine consumer's perspective. Int J Pharm Pract 2013 Jun;21(3):161-168. [CrossRef] [Medline]
- Dworkin RH, Turk DC, Farrar JT, Haythornthwaite JA, Jensen MP, Katz NP, IMMPACT. Core outcome measures for chronic pain clinical trials: IMMPACT recommendations. Pain 2005 Jan;113(1-2):9-19. [CrossRef] [Medline]
- Degenhardt L, Bruno R, Lintzeris N, Hall W, Nielsen S, Larance B, et al. Agreement between definitions of pharmaceutical opioid use disorders and dependence in people taking opioids for chronic non-cancer pain (POINT): a cohort study. Lancet Psychiatry 2015 Apr;2(4):314-322. [CrossRef] [Medline]
- Ruan WJ, Goldstein RB, Chou SP, Smith SM, Saha TD, Pickering RP, et al. The alcohol use disorder and associated disabilities interview schedule-IV (AUDADIS-IV): reliability of new psychiatric diagnostic modules and risk factors in a general population sample. Drug Alcohol Depend 2008 Jan 01;92(1-3):27-36 [FREE Full text] [CrossRef] [Medline]
- Grant BF, Dawson DA, Stinson FS, Chou SP, Dufour MC, Pickering RP. The 12-month prevalence and trends in DSM-IV alcohol abuse and dependence: United States, 1991-1992 and 2001-2002. Drug Alcohol Depend 2004 Jun 11;74(3):223-234. [CrossRef] [Medline]
- Grant B, Harford TC, Dawson D, Chou P, Pickering R. The alcohol use disorder and associated disabilities interview schedule (AUDADIS): reliability of alcohol and drug modules in a general population sample. Drug Alcohol Depend 1995 Jul 20;39(1):37-44. [CrossRef]
- Kessler RC, Ustün TB. The World Mental Health (WMH) Survey initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI). Int J Methods Psychiatr Res 2004;13(2):93-121. [Medline]
- Diagnostic and Statistical Manual of Mental Disorders. 5th Edition. Arlington: American Psychiatric Association; 2013.
- Iraurgi Castillo I, González Saiz F, Lozano Rojas O, Landabaso Vázquez MA, Jiménez Lerma JM. Estimation of cutoff for the Severity of Dependence Scale (SDS) for opiate dependence by ROC analysis. Actas Esp Psiquiatr 2010;38(5):270-277 [FREE Full text] [Medline]
- Gossop M, Darke S, Griffiths P, Hando J, Powis B, Hall W, et al. The Severity of Dependence Scale (SDS): psychometric properties of the SDS in English and Australian samples of heroin, cocaine and amphetamine users. Addiction 1995 May;90(5):607-614. [Medline]
- Topp L, Mattick RP. Choosing a cut-off on the Severity of Dependence Scale (SDS) for amphetamine users. Addiction 1997 Jul;92(7):839-845. [Medline]
- de las Cuevas C, Sanz EJ, de la Fuente JA, Padilla J, Berenguer JC. The Severity of Dependence Scale (SDS) as screening test for benzodiazepine dependence: SDS validation study. Addiction 2000 Feb;95(2):245-250. [Medline]
- Kaye S, Darke S. Determining a diagnostic cut-off on the Severity of Dependence Scale (SDS) for cocaine dependence. Addiction 2002 Jun;97(6):727-731. [Medline]
- Martin G, Copeland J, Gates P, Gilmour S. The Severity of Dependence Scale (SDS) in an adolescent population of cannabis users: reliability, validity and diagnostic cut-off. Drug Alcohol Depend 2006 Jun 09;83(1):90-93. [CrossRef] [Medline]
- Lawrinson P, Copeland J, Gerber S, Gilmour S. Determining a cut-off on the Severity of Dependence Scale (SDS) for alcohol dependence. Addict Behav 2007 Jul;32(7):1474-1479. [CrossRef] [Medline]
- Grande RB, Aaseth K, Saltyte Benth J, Gulbrandsen P, Russell MB, Lundqvist C. The Severity of Dependence Scale detects people with medication overuse: the Akershus study of chronic headache. J Neurol Neurosurg Psychiatry 2009 Jul;80(7):784-789. [CrossRef] [Medline]
- Nielsen S, Cameron J, Pahoki S. Over the Counter Codeine Dependence: Final Report 2010. URL: http://atdc.org.au/wp-content/uploads/2011/02/OTC_CODEINE_REPORT.pdf [accessed 2019-12-16]
- McCoy J. Detecting Codeine Dependence in Pharmacies [Thesis]. Hobart: University of Tasmania; 2015.
- Krebs EE, Lorenz KA, Bair MJ, Damush TM, Wu J, Sutherland JM, et al. Development and initial validation of the PEG, a three-item scale assessing pain intensity and interference. J Gen Intern Med 2009 Jun;24(6):733-738 [FREE Full text] [CrossRef] [Medline]
- Kean J, Monahan PO, Kroenke K, Wu J, Yu Z, Stump TE, et al. Comparative responsiveness of the PROMIS Pain Interference Short Forms, Brief Pain Inventory, PEG, and SF-36 Bodily Pain Subscale. Med Care 2016 Apr;54(4):414-421 [FREE Full text] [CrossRef] [Medline]
- Nicholas MK. The pain self-efficacy questionnaire: taking pain into account. Eur J Pain 2007 Feb;11(2):153-163. [CrossRef] [Medline]
- Miles CL, Pincus T, Carnes D, Taylor SJC, Underwood M. Measuring pain self-efficacy. Clin J Pain 2011 Jun;27(5):461-470. [CrossRef] [Medline]
- Adachi T, Nakae A, Maruo T, Shi K, Shibata M, Maeda L, et al. Validation of the Japanese version of the pain self-efficacy questionnaire in Japanese patients with chronic pain. Pain Med 2014 Aug;15(8):1405-1417. [CrossRef] [Medline]
- Chiarotto A, Vanti C, Ostelo RW, Ferrari S, Tedesco G, Rocca B, et al. The Pain Self-Efficacy Questionnaire: cross-cultural adaptation into italian and assessment of its measurement properties. Pain Pract 2015 Nov;15(8):738-747. [CrossRef] [Medline]
- Rasmussen MU, Rydahl-Hansen S, Amris K, Samsøe BD, Mortensen EL. The adaptation of a Danish version of the Pain Self-Efficacy Questionnaire: reliability and construct validity in a population of patients with fibromyalgia in Denmark. Scand J Caring Sci 2016 Mar;30(1):202-210. [CrossRef] [Medline]
- Sardá J, Nicholas MK, Pimenta CAM, Asghari A. Pain-related self-efficacy beliefs in a Brazilian chronic pain patient sample: a psychometric analysis. Stress and Health 2007 Aug;23(3):185-190. [CrossRef]
- van der Maas LCC, de Vet HCW, Köke A, Bosscher RJ, Peters ML. Psychometric Properties of the Pain Self-Efficacy Questionnaire (PSEQ). Eur J Psychol Assess 2012 Sep;28(1):68-75. [CrossRef]
- Foley M, Carney T, Rich E, Parry C, Van Hout M, Deluca P. Medical professionals' perspectives on prescribed and over-the-counter medicines containing codeine: a cross-sectional study. BMJ Open 2016 Jul 14;6(7):e011725 [FREE Full text] [CrossRef] [Medline]
- Vong SKS, Cheing GLY, Chan CCH, Chan F, Leung ASL. Measurement structure of the Pain Self-Efficacy Questionnaire in a sample of Chinese patients with chronic pain. Clin Rehabil 2009 Nov;23(11):1034-1043. [CrossRef] [Medline]
- Martin A, Rief W, Klaiberg A, Braehler E. Validity of the Brief Patient Health Questionnaire Mood Scale (PHQ-9) in the general population. Gen Hosp Psychiatry 2006;28(1):71-77. [CrossRef] [Medline]
- Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med 2001 Sep;16(9):606-613 [FREE Full text] [Medline]
- Merz EL, Malcarne VL, Roesch SC, Riley N, Sadler GR. A multigroup confirmatory factor analysis of the Patient Health Questionnaire-9 among English- and Spanish-speaking Latinas. Cultur Divers Ethnic Minor Psychol 2011 Jul;17(3):309-316 [FREE Full text] [CrossRef] [Medline]
- Baas KD, Cramer AOJ, Koeter MWJ, van de Lisdonk EH, van Weert HC, Schene AH. Measurement invariance with respect to ethnicity of the Patient Health Questionnaire-9 (PHQ-9). J Affect Disord 2011 Mar;129(1-3):229-235. [CrossRef] [Medline]
- Löwe B, Unützer J, Callahan CM, Perkins AJ, Kroenke K. Monitoring depression treatment outcomes with the Patient Health Questionnaire-9. Med Care 2004 Dec;42(12):1194-1201. [Medline]
- Cannon DS, Tiffany ST, Coon H, Scholand MB, McMahon WM, Leppert MF. The PHQ-9 as a brief assessment of lifetime major depression. Psychol Assess 2007 Jun;19(2):247-251. [CrossRef] [Medline]
- Rooney AG, McNamara S, Mackinnon M, Fraser M, Rampling R, Carson A, et al. Screening for major depressive disorder in adults with glioma using the PHQ-9: a comparison of patient versus proxy reports. J Neurooncol 2013 May;113(1):49-55. [CrossRef] [Medline]
- Santos IS, Tavares BF, Munhoz TN, Almeida LS, Silva NT, Tams BD, et al. [Sensitivity and specificity of the Patient Health Questionnaire-9 (PHQ-9) among adults from the general population]. Cad Saude Publica 2013 Aug;29(8):1533-1543 [FREE Full text] [Medline]
- Poots AJ, Green SA, Honeybourne E, Green J, Woodcock T, Barnes R, et al. Improving mental health outcomes: achieving equity through quality improvement. Int J Qual Health Care 2014 Apr;26(2):198-204 [FREE Full text] [CrossRef] [Medline]
- Loeb D, Sieja A, Corral J, Zehnder NG, Guiton G, Nease DE. Evaluation of the role of training in the implementation of a depression screening and treatment protocol in 2 academic outpatient internal medicine clinics utilizing the electronic medical record. Am J Med Qual 2015;30(4):359-366 [FREE Full text] [CrossRef] [Medline]
- Spitzer RL, Kroenke K, Williams JBW, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med 2006 May 22;166(10):1092-1097. [CrossRef] [Medline]
- Löwe B, Decker O, Müller S, Brähler E, Schellberg D, Herzog W, et al. Validation and standardization of the Generalized Anxiety Disorder Screener (GAD-7) in the general population. Med Care 2008 Mar;46(3):266-274. [CrossRef] [Medline]
- Ruiz MA, Zamorano E, García-Campayo J, Pardo A, Freire O, Rejas J. Validity of the GAD-7 scale as an outcome measure of disability in patients with generalized anxiety disorders in primary care. J Affect Disord 2011 Feb;128(3):277-286. [CrossRef] [Medline]
- Campbell G, Mattick R, Bruno R, Larance B, Nielsen S, Cohen M, et al. Cohort protocol paper: the Pain and Opioids In Treatment (POINT) study. BMC Pharmacol Toxicol 2014 Mar 20;15:17 [FREE Full text] [CrossRef] [Medline]
- Thornton LK, Harris K, Baker A, Johnson M, Kay-Lambkin FJ. Recruiting for addiction research via Facebook. Drug Alcohol Rev 2015 Jul 14;35(4):494-502. [CrossRef] [Medline]
- Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 2009 Apr;42(2):377-381 [FREE Full text] [CrossRef] [Medline]
- Brueton VC, Tierney J, Stenning S, Harding S, Meredith S, Nazareth I, et al. Strategies to improve retention in randomised trials. Cochrane Database Syst Rev 2013 Dec;12:MR000032 [FREE Full text] [CrossRef] [Medline]
- Nielsen S, Cameron J, Lee N. Characteristics of a nontreatment-seeking sample of over-the-counter codeine users: implications for intervention and prevention. J Opioid Manag 2011;7(5):363-370. [Medline]
- Chen K, Cheng Y, Berkout O, Lindhiem O. Analyzing proportion scores as outcomes for prevention trials: a statistical primer. Prev Sci 2017 Dec;18(3):312-321 [FREE Full text] [CrossRef] [Medline]
|AUDADIS-5: Alcohol Use Disorder and Associated Disabilities Interview Schedule–5|
|CIDI: Composite International Diagnostic Interview|
|CDS: Codeine Dependence Scale|
|DSM-5: Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition|
|GAD-7: Generalized Anxiety Disorder 7-item Scale|
|NSAID: nonsteroidal anti-inflammatory drug|
|PEG: Pain Intensity, Enjoyment of Life, and General Activity Assessment Tool|
|PHQ-9: Patient Health Questionnaire–9|
|PSEQ: Pain Self-Efficacy Questionnaire|
|SDS: Severity of Dependence Scale|
Edited by G Eysenbach; submitted 18.07.19; peer-reviewed by F Shand, C Mavrot; comments to author 03.10.19; revised version received 17.10.19; accepted 20.10.19; published 13.03.20
©Jacqui McCoy, Suzanne Nielsen, Raimondo Bruno. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 13.03.2020.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included.