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Yalcin S, Joo PY, McLaughlin W, Moran J, Caruana D, Flores M, Grauer J, Medvecky M. Factors Associated With Increased Opioid Prescriptions Following Anterior Cruciate Ligament Reconstruction in Opioid-Naïve Patients. Arthrosc Sports Med Rehabil 2023; 5:100740. [PMID: 37645399 PMCID: PMC10461142 DOI: 10.1016/j.asmr.2023.04.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 04/25/2023] [Indexed: 08/31/2023] Open
Abstract
Purpose To identify the mean morphine milligram equivalent (MME) opioid prescriptions for opioid-naïve patients undergoing isolated anterior cruciate ligament reconstruction (ACLR) between 4 weeks before surgery and the first 90 days after surgery and to describe opioid prescriptions filled per patient and mean MMEs per year within 90 days following ACLR. Methods Exclusion criteria were patients having concurrent other cruciate or collateral ligament repair or reconstruction, meniscus procedures (repair and debridement), any cartilage procedure, lower-extremity osteotomy, or knee procedures for fracture, infection, or neoplasms; patients with substance use disorder or chronic pain also were excluded. Opioid use between 4 weeks before surgery and the first 90 days after surgery was recorded. Prescribing physician specialty also was tracked. The correlation of patient factors and prescriber specialty of MME were compared using the Student's t-test. Significance was defined at P < .05. Results Opioid-naïve patients undergoing isolated ACLR were included. Isolated arthroscopic ACLRs performed between 2010 and Q3 2020 in opioid-naïve patients were identified within the PearlDiver M91 national database. A total of 37,200 patients were identified. Mean MME per patient was 340.9 ± 198.2, with an average MME per day of 59.9. Factors associated with increased opioid use during the 90 days following ACLR were older age (P < .001) and preoperative diagnosis of depression (P < .001). Orthopaedic surgeons were primarily responsible for the number of opioid prescriptions after ACLR (n = 29,326, 73.0%) but 27% (n = 10,797) of prescriptions came from nonorthopaedic surgeon medical providers who prescribed significantly greater MMEs of opioids than orthopaedic surgeons (456.5 vs 339.2, P < .001) per patient. Lastly, decreasing yearly opioid prescriptions per patient (2.4 to 1.6 prescriptions) and the mean MME per patient (428.4 to 257.1) occurred from 2010 to 2020. Conclusions Older age and preoperative diagnosis of depression are associated with greater opioid doses after ACLR. In addition, the vast majority of opioid prescriptions are written by orthopaedic surgeons on the day of ACLR and decreased considerably by four weeks after surgery. Patients receiving opioid prescriptions by nonorthopaedic surgeon medical providers receive significantly greater doses. Level of Evidence Level IV, retrospective cohort study.
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Affiliation(s)
- Sercan Yalcin
- Department of Orthopaedics and Rehabilitation, Yale School of Medicine, New Haven, Connecticut, U.S.A
| | - Peter Y Joo
- Department of Orthopaedics and Rehabilitation, Yale School of Medicine, New Haven, Connecticut, U.S.A
| | - William McLaughlin
- Department of Orthopaedics and Rehabilitation, Yale School of Medicine, New Haven, Connecticut, U.S.A
| | - Jay Moran
- Department of Orthopaedics and Rehabilitation, Yale School of Medicine, New Haven, Connecticut, U.S.A
| | - Dennis Caruana
- Department of Orthopaedics and Rehabilitation, Yale School of Medicine, New Haven, Connecticut, U.S.A
| | - Michael Flores
- Department of Orthopaedics and Rehabilitation, Yale School of Medicine, New Haven, Connecticut, U.S.A
| | - Jonathan Grauer
- Department of Orthopaedics and Rehabilitation, Yale School of Medicine, New Haven, Connecticut, U.S.A
| | - Michael Medvecky
- Department of Orthopaedics and Rehabilitation, Yale School of Medicine, New Haven, Connecticut, U.S.A
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Atkins N, Mukhida K. The relationship between patients’ income and education and their access to pharmacological chronic pain management: A scoping review. Can J Pain 2022; 6:142-170. [PMID: 36092247 PMCID: PMC9450907 DOI: 10.1080/24740527.2022.2104699] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
Affiliation(s)
- Nicole Atkins
- Department of Anesthesiology, Pain Management and Perioperative Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Karim Mukhida
- Department of Anesthesiology, Pain Management and Perioperative Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
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3
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Robayo Gonzalez CX, Quevedo Buitrago WG, Chaves Silva DC, Gónimo- Valero E. Valoración del riego de adicción a tramadol en pacientes con dolor crónico no oncológico. Rev Salud Publica (Bogota) 2021. [DOI: 10.15446/rsap.v23n5.94305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Objetivo El manejo del dolor crónico no oncológico con analgésicos opioides ha sido de importancia para el control de los síntomas y el restablecimiento de la actividad, sin embargo, el riesgo de adicción asociado a estos medicamentos es ampliamente conocido y evaluado. Este estudio evalúa el riesgo de adicción que presentaban los pacientes con manejo de tramadol describiendo los factores mas frecuentes en la muestra estudiada frente a lo reportado en la literatura.
Métodos Una muestra de 76 pacientes de una clínica de dolor que están en manejo con tramadol y se les administra un cuestionario con características demográficas y con la escala Opioid Risk Tool para el riesgo de adicción.
Resultados El 57,89% de los sujetos fueron mujeres, el 55,20% se encontraba entre los 29 y 59 años. El riesgo de adicción moderado se encontró en el 9,09% de las mujeres y en el 37,05% de los hombres. La inclusión de otras enfermedades como ansiedad y trastorno de estrés postraumático aumenta el riesgo de adicción a severo en 6,06% de los hombres.
Conclusiones La valoración del riesgo de adicción a opioides debe tener en cuenta los factores encontrados en la población colombiana.
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de Oliveira Costa J, Bruno C, Baranwal N, Gisev N, Dobbins TA, Degenhardt L, Pearson SA. Variations in Long-term Opioid Therapy Definitions: A Systematic Review of Observational Studies Using Routinely Collected Data (2000-2019). Br J Clin Pharmacol 2021; 87:3706-3720. [PMID: 33629352 DOI: 10.1111/bcp.14798] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 12/21/2020] [Accepted: 02/17/2021] [Indexed: 12/27/2022] Open
Abstract
Routinely collected data have been increasingly used to assess long-term opioid therapy (LTOT) patterns, with very little guidance on how to measure LTOT from these data sources. We conducted a systematic review of studies published between January 2000 and July 2019 to catalogue LTOT definitions, the rationale for definitions and LTOT rates in observational research using routinely collected data in nonsurgical settings. We screened 4056 abstracts, 210 full-text manuscripts and included 128 studies, mostly from the United States (81%) and published between 2015 and 2019 (69%). We identified 78 definitions of LTOT, commonly operationalised as 90 days of use within a year (23%). Studies often used multiple criteria to derive definitions (60%), mostly based on measures of duration, such as supply days/days of use (66%), episode length (21%) or prescription fills within specified time periods (12%). Definitions were based on previous publications (63%), clinical judgment (16%) or empirical data (3%); 10% of studies applied more than one definition. LTOT definition was not provided with enough details for replication in 14 studies and 38 studies did not specify the opioids evaluated. Rates of LTOT within study populations ranged from 0.2% to 57% according to study design and definition used. We observed a substantial rise in the last 5 years in studies evaluating LTOT with large variability in the definitions used and poor reporting of the rationale and implementation of definitions. This variation impacts on research reproducibility, comparability of findings and the development of strategies aiming to curb therapy that is not guideline-recommended.
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Affiliation(s)
| | - Claudia Bruno
- Centre for Big Data Research in Health, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia
| | - Navya Baranwal
- Brown University Warren Alpert Medical School, Providence, Rhode Island, USA
| | - Natasa Gisev
- National Drug and Alcohol Research Centre, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia
| | - Timothy A Dobbins
- National Drug and Alcohol Research Centre, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia
| | - Louisa Degenhardt
- National Drug and Alcohol Research Centre, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia
| | - Sallie-Anne Pearson
- Centre for Big Data Research in Health, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia.,Menzies Centre for Health Policy, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
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Bernstein C, Gillman AG, Zhang D, Bartman AE, Jeong JH, Wasan AD. Identifying Predictors of Recommendations for and Participation in Multimodal Nonpharmacological Treatments for Chronic Pain Using Patient-Reported Outcomes and Electronic Medical Records. PAIN MEDICINE 2020; 21:3574-3584. [PMID: 32869082 DOI: 10.1093/pm/pnaa203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
OBJECTIVE High-quality chronic pain care emphasizes multimodal treatments that include medication and nonpharmacological treatments. But it is not clear which patients will participate in nonpharmacological treatments, such as physical therapy or mental health care, and previous research has shown conflicting evidence. METHODS We used the Patient Outcomes Repository for Treatment (PORT) registry, which combines patient-reported outcomes data with electronic medical records. In this retrospective observational study, we performed two separate multinomial regression analyses with feature selection to identify PORT variables that were predictive of 1) recommendation of a nonpharmacological treatment by the provider and 2) patient participation in nonpharmacological treatments. Two hundred thirty-six patients were recommended (REC) or not recommended (NO REC) a nonpharmacological treatment, and all REC patients were classified as participating (YES) or not participating (NO) in the recommendations. RESULTS Female gender and a diagnosis of Z79 "Opioid drug therapy" were significant positive and negative predictors of nonpharmacological treatment recommendations, respectively. Schedule II opioid use at initial presentation and recommendations for rehabilitation therapy were significant predictors of nonparticipation. CONCLUSIONS Patients using opioids are less likely to be recommended nonpharmacological treatments as part of multimodal chronic pain care and are less likely to participate in nonpharmacological treatments once recommended. Males are also less likely to be recommended nonpharmacological treatments. Patients referred for rehabilitation therapies are less likely to comply with those recommendations. We have identified patients in vulnerable subgroups who may require additional resources and/or encouragement to comply with multimodal chronic pain treatment recommendations.
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Affiliation(s)
- Cheryl Bernstein
- Department of Anesthesiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Andrea G Gillman
- Department of Anesthesiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Di Zhang
- Division of Biometrics VII, Center for Drug Evaluation and Research, U.S. Food and Drug Administration
| | | | - Jong-Hyeon Jeong
- Department of Biostatistics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania, USA
| | - Ajay D Wasan
- Department of Anesthesiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
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6
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Shen Y, Bhagwandass H, Branchcomb T, Galvez SA, Grande I, Lessing J, Mollanazar M, Ourhaan N, Oueini R, Sasser M, Valdes IL, Jadubans A, Hollmann J, Maguire M, Usmani S, Vouri SM, Hincapie-Castillo JM, Adkins LE, Goodin AJ. Chronic Opioid Therapy: A Scoping Literature Review on Evolving Clinical and Scientific Definitions. THE JOURNAL OF PAIN 2020; 22:246-262. [PMID: 33031943 DOI: 10.1016/j.jpain.2020.09.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 09/21/2020] [Accepted: 09/22/2020] [Indexed: 01/24/2023]
Abstract
The management of chronic noncancer pain (CNCP) with chronic opioid therapy (COT) is controversial. There is a lack of consensus on how COT is defined resulting in unclear clinical guidance. This scoping review identifies and evaluates evolving COT definitions throughout the published clinical and scientific literature. Databases searched included PubMed, Embase, and Web of Science. A total of 227 studies were identified from 8,866 studies published between January 2000 and July 2019. COT definitions were classified by pain population of application and specific dosage/duration definition parameters, with results reported according to PRISMA-ScR. Approximately half of studies defined COT as "days' supply duration >90 days" and 9.3% defined as ">120 days' supply," with other days' supply cut-off points (>30, >60, or >70) each appearing in <5% of total studies. COT was defined by number of prescriptions in 63 studies, with 16.3% and 11.0% using number of initiations or refills, respectively. Few studies explicitly distinguished acute treatment and COT. Episode duration/dosage criteria was used in 90 studies, with 7.5% by Morphine Milligram Equivalents + days' supply and 32.2% by other "episode" combination definitions. COT definitions were applied in musculoskeletal CNCP (60.8%) most often, and typically in adults aged 18 to 64 (69.6%). The usage of ">90 days' supply" COT definitions increased from 3.2 publications/year before 2016 to 20.7 publications/year after 2016. An increasing proportion of studies define COT as ">90 days' supply." The most recent literature trends toward shorter duration criteria, suggesting that contemporary COT definitions are increasingly conservative. PERSPECTIVE: This study summarized the most common, current definition criteria for chronic opioid therapy (COT) and recommends adoption of consistent definition criteria to be utilized in practice and research. The most recent literature trends toward shorter duration criteria overall, suggesting that COT definition criteria are increasingly stringent.
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Affiliation(s)
- Yun Shen
- Department of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville, Florida; Center for Drug Evaluation and Safety (CoDES), University of Florida, Gainesville, Florida
| | - Hemita Bhagwandass
- Department of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville, Florida
| | - Tychell Branchcomb
- Department of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville, Florida
| | - Sophia A Galvez
- Department of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville, Florida
| | - Ivanna Grande
- Department of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville, Florida
| | - Julia Lessing
- Department of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville, Florida
| | - Mikela Mollanazar
- Department of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville, Florida
| | - Natalie Ourhaan
- Department of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville, Florida
| | - Razanne Oueini
- Department of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville, Florida
| | - Michael Sasser
- Department of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville, Florida
| | - Ivelisse L Valdes
- Department of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville, Florida
| | - Ashmita Jadubans
- Department of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville, Florida
| | - Josef Hollmann
- Department of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville, Florida
| | - Michael Maguire
- Department of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville, Florida
| | - Silken Usmani
- Department of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville, Florida
| | - Scott M Vouri
- Department of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville, Florida; Center for Drug Evaluation and Safety (CoDES), University of Florida, Gainesville, Florida
| | - Juan M Hincapie-Castillo
- Department of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville, Florida; Center for Drug Evaluation and Safety (CoDES), University of Florida, Gainesville, Florida; Pain Research and Intervention Center of Excellence, University of Florida, Gainesville, Florida
| | - Lauren E Adkins
- University of Florida Health Science Center Libraries, Gainesville, Florida
| | - Amie J Goodin
- Department of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville, Florida; Center for Drug Evaluation and Safety (CoDES), University of Florida, Gainesville, Florida.
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7
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High-dose prescribed opioids are associated with increased risk of heroin use among United States military veterans. Pain 2020; 160:2126-2135. [PMID: 31145217 DOI: 10.1097/j.pain.0000000000001606] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Despite evidence linking increased risk of opioid use disorder with specific opioid-prescribing patterns, the relationship between these patterns and heroin use is less understood. This study aimed to determine whether dose and duration of opioid prescriptions predict subsequent heroin use in United States veterans. We analyzed data from 2002 to 2012 from the Veterans Aging Cohort Study, a prospective cohort study. We used inverse probability of censoring weighted Cox regression to examine the relationship between self-reported past year heroin use and 2 primary predictors: (1) prior receipt of a high-dose opioid prescription (≥90 mg morphine equivalent daily dose), and (2) prior receipt of a long-term opioid prescription (≥90 days). Heroin use was ascertained using most recent value of time-updated self-reported past year heroin use. Models were adjusted for HIV and hepatitis C virus infection status, sociodemographics, pain interference, posttraumatic stress disorder, depression, and use of marijuana, cocaine, methamphetamines, and unhealthy alcohol use. In the final model, prior receipt of a high-dose opioid prescription was associated with past year heroin use (adjusted hazard ratio use = 2.54, 95% confidence interval: 1.26-5.10), whereas long-term opioid receipt was not (adjusted hazard ratio = 1.09, 95% confidence interval: 0.75-1.57). Patients receiving high-dose opioid prescriptions should be monitored for heroin use. These findings support current national guidelines recommending against prescribing high-dose opioids for treating pain.
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8
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Ratz D, Wiitala W, Badr MS, Burns J, Chowdhuri S. Correlates and consequences of central sleep apnea in a national sample of US veterans. Sleep 2019; 41:4955788. [PMID: 29608761 DOI: 10.1093/sleep/zsy058] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Indexed: 11/14/2022] Open
Abstract
The prevalence and consequences of central sleep apnea (CSA) in adults are not well described. By utilizing the large Veterans Health Administration (VHA) national administrative databases, we sought to determine the incidence, clinical correlates, and impact of CSA on healthcare utilization in Veterans. Analysis of a retrospective cohort of patients with sleep disorders was performed from outpatient visits and inpatient admissions from fiscal years 2006 through 2012. The CSA group, defined by International Classification of Diseases-9, was compared with a comparison group. The number of newly diagnosed CSA cases increased fivefold during this timeframe; however, the prevalence was highly variable depending on the VHA site. The important predictors of CSA were male gender (odds ratio [OR] = 2.31, 95% confidence interval [CI]: 1.94-2.76, p < 0.0001), heart failure (HF) (OR = 1.78, 95% CI: 1.64-1.92, p < 0.0001), atrial fibrillation (OR = 1.83, 95% CI: 1.69-2.00, p < 0.0001), pulmonary hypertension (OR = 1.38, 95% CI:1.19-1.59, p < 0.0001), stroke (OR = 1.65, 95% CI: 1.50-1.82, p < 0.0001), and chronic prescription opioid use (OR = 1.99, 95% CI: 1.87-2.13, p < 0.0001). Veterans with CSA were at an increased risk for hospital admissions related to cardiovascular disorders compared with the comparison group (incidence rate ratio [IRR] = 1.50, 95% CI: 1.16-1.95, p = 0.002). Additionally, the effect of prior HF on future admissions was greater in the CSA group (IRR: 4.78, 95% CI: 3.87-5.91, p < 0.0001) compared with the comparison group (IRR = 3.32, 95% CI: 3.18-3.47, p < 0.0001). Thus, CSA in veterans is associated with cardiovascular disorders, chronic prescription opioid use, and increased admissions related to the comorbid cardiovascular disorders. Furthermore, there is a need for standardization of diagnostics methods across the VHA to accurately diagnose CSA in high-risk populations.
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Affiliation(s)
- David Ratz
- Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI
| | - Wyndy Wiitala
- Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI
| | - M Safwan Badr
- Sleep Medicine Section, Medical Service, John D. Dingell Veterans Affairs Medical Center, Detroit, MI.,Department of Medicine, Wayne State University, Detroit, MI
| | - Jennifer Burns
- Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI
| | - Susmita Chowdhuri
- Sleep Medicine Section, Medical Service, John D. Dingell Veterans Affairs Medical Center, Detroit, MI.,Department of Medicine, Wayne State University, Detroit, MI
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10
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Baria AM, Pangarkar S, Abrams G, Miaskowski C. Adaption of the Biopsychosocial Model of Chronic Noncancer Pain in Veterans. PAIN MEDICINE 2019; 20:14-27. [PMID: 29727005 DOI: 10.1093/pm/pny058] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Population Veterans with chronic noncancer pain (CNCP) are a vulnerable population whose care remains a challenge for clinicians, policy-makers, and researchers. As a result of military experience, veterans are exposed to high rates of musculoskeletal injuries, trauma, psychological stressors (e.g., post-traumatic stress disorder, depression, anxiety, substance abuse), and social factors (e.g., homelessness, social isolation, disability, decreased access to medical care) that contribute to the magnitude and impact of CNCP. In the veteran population, sound theoretical models are needed to understand the specific physiological, psychological, and social factors that influence this unique experience. Objective This paper describes an adaption of Gatchel and colleagues' biopsychosocial model of CNCP to veterans and summarizes research findings that support each component of the revised model. The paper concludes with a discussion of important implications for the use of this revised model in clinical practice and future directions for research. Conclusions The adaption of the biopsychosocial model of CNCP for veterans provides a useful and relevant conceptual framework that can be used to guide future research and improve clinical care in this vulnerable population.
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Affiliation(s)
- Ariel M Baria
- Veterans Affairs Greater Los Angeles Healthcare, Los Angeles, California.,School of Nursing
| | - Sanjog Pangarkar
- Veterans Affairs Greater Los Angeles Healthcare, Los Angeles, California.,David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
| | - Gary Abrams
- School of Medicine, University of California, San Francisco, San Francisco, California
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Pain Catastrophizing Moderates Relationships between Pain Intensity and Opioid Prescription: Nonlinear Sex Differences Revealed Using a Learning Health System. Anesthesiology 2017; 127:136-146. [PMID: 28614083 DOI: 10.1097/aln.0000000000001656] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Pain catastrophizing is a maladaptive response to pain that amplifies chronic pain intensity and distress. Few studies have examined how pain catastrophizing relates to opioid prescription in outpatients with chronic pain. METHODS The authors conducted a retrospective observational study of the relationships between opioid prescription, pain intensity, and pain catastrophizing in 1,794 adults (1,129 women; 63%) presenting for new evaluation at a large tertiary care pain treatment center. Data were sourced primarily from an open-source, learning health system and pain registry and secondarily from manual review of electronic medical records. A binary opioid prescription variable (yes/no) constituted the dependent variable; independent variables were age, sex, pain intensity, pain catastrophizing, depression, and anxiety. RESULTS Most patients were prescribed at least one opioid medication (57%; n = 1,020). A significant interaction and main effects of pain intensity and pain catastrophizing on opioid prescription were noted (P < 0.04). Additive modeling revealed sex differences in the relationship between pain catastrophizing, pain intensity, and opioid prescription, such that opioid prescription became more common at lower levels of pain catastrophizing for women than for men. CONCLUSIONS Results supported the conclusion that pain catastrophizing and sex moderate the relationship between pain intensity and opioid prescription. Although men and women patients had similar Pain Catastrophizing Scale scores, historically "subthreshold" levels of pain catastrophizing were significantly associated with opioid prescription only for women patients. These findings suggest that pain intensity and catastrophizing contribute to different patterns of opioid prescription for men and women patients, highlighting a potential need for examination and intervention in future studies.
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