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Dive into the research topics where Jennifer M. Hah is active.

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Featured researches published by Jennifer M. Hah.


Journal of Pain Research | 2014

From Catastrophizing to Recovery: a pilot study of a single-session treatment for pain catastrophizing

Beth D. Darnall; John A. Sturgeon; Ming-Chih J. Kao; Jennifer M. Hah; S. Mackey

Background Pain catastrophizing (PC) – a pattern of negative cognitive-emotional responses to real or anticipated pain – maintains chronic pain and undermines medical treatments. Standard PC treatment involves multiple sessions of cognitive behavioral therapy. To provide efficient treatment, we developed a single-session, 2-hour class that solely treats PC entitled “From Catastrophizing to Recovery” [FCR]. Objectives To determine 1) feasibility of FCR; 2) participant ratings for acceptability, understandability, satisfaction, and likelihood to use the information learned; and 3) preliminary efficacy of FCR for reducing PC. Design and methods Uncontrolled prospective pilot trial with a retrospective chart and database review component. Seventy-six patients receiving care at an outpatient pain clinic (the Stanford Pain Management Center) attended the class as free treatment and 70 attendees completed and returned an anonymous survey immediately post-class. The Pain Catastrophizing Scale (PCS) was administered at class check-in (baseline) and at 2, and 4 weeks post-treatment. Within subjects repeated measures analysis of variance (ANOVA) with Student’s t-test contrasts were used to compare scores across time points. Results All attendees who completed a baseline PCS were included as study participants (N=57; F=82%; mean age =50.2 years); PCS was completed by 46 participants at week 2 and 35 participants at week 4. Participants had significantly reduced PC at both time points (P<0001) and large effect sizes were found (Cohen’s d=0.85 and d=1.15). Conclusion Preliminary data suggest that FCR is an acceptable and effective treatment for PC. Larger, controlled studies of longer duration are needed to determine durability of response, factors contributing to response, and the impact on pain, function and quality of life.


Pain Medicine | 2014

Self‐Loathing Aspects of Depression Reduce Postoperative Opioid Cessation Rate

Jennifer M. Hah; S. Mackey; P. Barelka; C. Wang; Bing M. Wang; M. Gillespie; Rebecca McCue; Jarred Younger; Jodie A. Trafton; Keith Humphreys; Stuart B. Goodman; F. Dirbas; Peter C. Schmidt; Ian Carroll

OBJECTIVE We previously reported that increased preoperative Beck Depression Inventory II (BDI-II) scores were associated with a 47% (95% CI 24%-64%) reduction in the rate of opioid cessation following surgery. We aimed to identify the underlying factors of the BDI-II (affective/cognitive vs somatic) associated with a decreased rate of opioid cessation after surgery. METHODS We conducted a secondary analysis of the data from a previously reported prospective, longitudinal, observational study of opioid use after five distinct surgical procedures (total hip replacement, total knee replacement, thoracotomy, mastectomy, and lumpectomy) in 107 patients. The primary endpoint was time to opioid cessation. After exploratory factor analysis of the BDI-II, mean summary scores were calculated for each identified factor. These scores were evaluated as predictors of time to opioid cessation using Cox proportional hazards regression. RESULTS The exploratory factor analysis produced three factors (self-loathing symptoms, motivational symptoms, emotional symptoms). All three factors were significant predictors in univariate analysis. Of the three identified factors of the BDI-II, only preoperative self-loathing symptoms (past failure, guilty feelings, self-dislike, self-criticalness, suicidal thoughts, worthlessness) independently predicted a significant decrease in opioid cessation rate after surgery in the multivariate analysis (HR 0.86, 95% CI 0.75-0.99, P value 0.037). CONCLUSIONS Our results identify a set of negative cognitions predicting prolonged time to postoperative opioid cessation. Somatic symptoms captured by the BDI-II were not primarily responsible for the association between preoperative BDI-II scores and postoperative prolonged opioid use.


Anesthesia & Analgesia | 2017

Chronic Opioid Use After Surgery: Implications for Perioperative Management in the Face of the Opioid Epidemic

Jennifer M. Hah; Brian T. Bateman; John K. Ratliff; Catherine M. Curtin; Eric C. Sun

Physicians, policymakers, and researchers are increasingly focused on finding ways to decrease opioid use and overdose in the United States both of which have sharply increased over the past decade. While many efforts are focused on the management of chronic pain, the use of opioids in surgical patients presents a particularly challenging problem requiring clinicians to balance 2 competing interests: managing acute pain in the immediate postoperative period and minimizing the risks of persistent opioid use after the surgery. Finding ways to minimize this risk is particularly salient in light of a growing literature suggesting that postsurgical patients are at increased risk for chronic opioid use. The perioperative care team, including surgeons and anesthesiologists, is poised to develop clinical- and systems-based interventions aimed at providing pain relief in the immediate postoperative period while also reducing the risks of opioid use longer term. In this paper, we discuss the consequences of chronic opioid use after surgery and present an analysis of the extent to which surgery has been associated with chronic opioid use. We follow with a discussion of the risk factors that are associated with chronic opioid use after surgery and proceed with an analysis of the extent to which opioid-sparing perioperative interventions (eg, nerve blockade) have been shown to reduce the risk of chronic opioid use after surgery. We then conclude with a discussion of future research directions.


Journal of Compassionate Health Care | 2014

Pilot study of a compassion meditation intervention in chronic pain

Heather Chapin; Beth D. Darnall; Emma Seppala; James R. Doty; Jennifer M. Hah; S. Mackey

BackgroundThe emergence of anger as an important predictor of chronic pain outcomes suggests that treatments that target anger may be particularly useful within the context of chronic pain. Eastern traditions prescribe compassion cultivation to treat persistent anger. Compassion cultivation has been shown to influence emotional processing and reduce negativity bias in the contexts of emotional and physical discomfort, thus suggesting it may be beneficial as a dual treatment for pain and anger. Our objective was to conduct a pilot study of a 9-week group compassion cultivation intervention in chronic pain to examine its effect on pain severity, anger, pain acceptance and pain-related interference. We also aimed to describe observer ratings provided by patients’ significant others and secondary effects of the intervention.MethodsPilot clinical trial with repeated measures design that included a within-subjects wait-list control period. Twelve chronic pain patients completed the intervention (F = 10). Data were collected from patients at enrollment, treatment baseline and post-treatment; participant significant others contributed data at the enrollment and post-treatment time points.ResultsIn this predominantly female sample, patients had significantly reduced pain severity and anger and increased pain acceptance at post-treatment compared to treatment baseline. Significant other qualitative data corroborated patient reports for reductions in pain severity and anger.ConclusionsCompassion meditation may be a useful adjunctive treatment for reducing pain severity and anger, and for increasing chronic pain acceptance. Patient reported reductions in anger were corroborated by their significant others. The significant other corroborations offer a novel contribution to the literature and highlight the observable emotional and behavioral changes in the patient participants that occurred following the compassion intervention. Future studies may further examine how anger reductions impact relationships with self and others within the context of chronic pain.


Pain Medicine | 2015

Pain Duration and Resolution following Surgery: An Inception Cohort Study

Ian Carroll; Jennifer M. Hah; P. Barelka; C. Wang; Bing M. Wang; M. Gillespie; Rebecca McCue; Jarred Younger; Jodie A. Trafton; Keith Humphreys; Stuart B. Goodman; F. Dirbas; S. Mackey

OBJECTIVE Preoperative determinants of pain duration following surgery are poorly understood. We identified preoperative predictors of prolonged pain after surgery in a mixed surgical cohort. METHODS We conducted a prospective longitudinal study of patients undergoing mastectomy, lumpectomy, thoracotomy, total knee replacement, or total hip replacement. We measured preoperative psychological distress and substance use, and then measured pain and opioid use after surgery until patients reported the cessation of both opioid consumption and pain. The primary endpoint was time to opioid cessation, and those results have been previously reported. Here, we report preoperative determinants of time to pain resolution following surgery in Cox proportional hazards regression. RESULTS Between January 2007 and April 2009, we enrolled 107 of 134 consecutively approached patients undergoing the aforementioned surgical procedures. In the final multivariate model, preoperative self-perceived risk of addiction predicted more prolonged pain. Unexpectedly, anxiety sensitivity predicted more rapid pain resolution after surgery. Each one-point increase (on a four point scale) of self-perceived risk of addiction was associated with a 38% (95% CI 3-61) reduction in the rate of pain resolution (P = 0.04). Furthermore, higher anxiety sensitivity was associated with an 89% (95% CI 23-190) increased rate of pain resolution (P = 0.004). CONCLUSIONS Greater preoperative self-perceived risk of addiction, and lower anxiety sensitivity predicted a slower rate of pain resolution following surgery. Each of these factors was a better predictor of pain duration than preoperative depressive symptoms, post-traumatic stress disorder symptoms, past substance use, fear of pain, gender, age, preoperative pain, or preoperative opioid use.


Pain Research and Treatment | 2015

Factors Associated with Opioid Use in a Cohort of Patients Presenting for Surgery.

Jennifer M. Hah; Yasamin Sharifzadeh; Bing M. Wang; M. Gillespie; Stuart B. Goodman; S. Mackey; Ian Carroll

Objectives. Patients taking opioids prior to surgery experience prolonged postoperative opioid use, worse clinical outcomes, increased pain, and more postoperative complications. We aimed to compare preoperative opioid users to their opioid naïve counterparts to identify differences in baseline characteristics. Methods. 107 patients presenting for thoracotomy, total knee replacement, total hip replacement, radical mastectomy, and lumpectomy were investigated in a cross-sectional study to characterize the associations between measures of pain, substance use, abuse, addiction, sleep, and psychological measures (depressive symptoms, Posttraumatic Stress Disorder symptoms, somatic fear and anxiety, and fear of pain) with opioid use. Results. Every 9-point increase in the Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R) score was associated with 2.37 (95% CI 1.29–4.32) increased odds of preoperative opioid use (p = 0.0005). The SOAPP-R score was also associated with 3.02 (95% CI 1.36–6.70) increased odds of illicit preoperative opioid use (p = 0.007). Also, every 4-point increase in baseline pain at the future surgical site was associated with 2.85 (95% CI 1.12–7.27) increased odds of legitimate preoperative opioid use (p = 0.03). Discussion. Patients presenting with preoperative opioid use have higher SOAPP-R scores potentially indicating an increased risk for opioid misuse after surgery. In addition, legitimate preoperative opioid use is associated with preexisting pain.


Health Affairs | 2017

Opioid Abuse And Poisoning: Trends In Inpatient And Emergency Department Discharges

Dario Tedesco; Steven M. Asch; Catherine M. Curtin; Jennifer M. Hah; Kathryn M McDonald; Maria Pia Fantini; Tina Hernandez-Boussard

Addressing the opioid epidemic is a national priority. We analyzed national trends in inpatient and emergency department (ED) discharges for opioid abuse, dependence, and poisoning using Healthcare Cost and Utilization Project data. Inpatient and ED discharge rates increased overall across the study period, but a decline was observed for prescription opioid-related discharges beginning in 2010, while a sharp increase in heroin-related discharges began in 2008.


JAMA Surgery | 2017

Effect of Perioperative Gabapentin on Postoperative Pain Resolution and Opioid Cessation in a Mixed Surgical Cohort: A Randomized Clinical Trial

Jennifer M. Hah; S. Mackey; Peter C. Schmidt; Rebecca McCue; Keith Humphreys; Jodie A. Trafton; Bradley Efron; Debra Clay; Yasamin Sharifzadeh; Gabriela Ruchelli; Stuart B. Goodman; James I. Huddleston; William J. Maloney; Frederick M. Dirbas; Joseph B. Shrager; John G. Costouros; Catherine M. Curtin; Ian Carroll

Importance Guidelines recommend using gabapentin to decrease postoperative pain and opioid use, but significant variation exists in clinical practice. Objective To determine the effect of perioperative gabapentin on remote postoperative time to pain resolution and opioid cessation. Design, Setting, and Participants A randomized, double-blind, placebo-controlled trial of perioperative gabapentin was conducted at a single-center, tertiary referral teaching hospital. A total of 1805 patients aged 18 to 75 years scheduled for surgery (thoracotomy, video-assisted thoracoscopic surgery, total hip replacement, total knee replacement, mastectomy, breast lumpectomy, hand surgery, carpal tunnel surgery, knee arthroscopy, shoulder arthroplasty, and shoulder arthroscopy) were screened. Participants were enrolled from May 25, 2010, to July 25, 2014, and followed up for 2 years postoperatively. Intention-to-treat analysis was used in evaluation of the findings. Interventions Gabapentin, 1200 mg, preoperatively and 600 mg, 3 times a day postoperatively or active placebo (lorazepam, 0.5 mg) preoperatively followed by inactive placebo postoperatively for 72 hours. Main Outcomes and Measures Primary outcome was time to pain resolution (5 consecutive reports of 0 of 10 possible levels of average pain at the surgical site on the numeric rating scale of pain). Secondary outcomes were time to opioid cessation (5 consecutive reports of no opioid use) and the proportion of participants with continued pain or opioid use at 6 months and 1 year. Results Of 1805 patients screened for enrollment, 1383 were excluded, including 926 who did not meet inclusion criteria and 273 who declined to participate. Overall, 8% of patients randomized were lost to follow-up. A total of 202 patients were randomized to active placebo and 208 patients were randomized to gabapentin in the intention-to-treat analysis (mean [SD] age, 56.7 [11.7] years; 256 (62.4%) women and 154 (37.6%) men). Baseline characteristics of the groups were similar. Perioperative gabapentin did not affect time to pain cessation (hazard ratio [HR], 1.04; 95% CI, 0.82-1.33; P = .73) in the intention-to-treat analysis. However, participants receiving gabapentin had a 24% increase in the rate of opioid cessation after surgery (HR, 1.24; 95% CI, 1.00-1.54; P = .05). No significant differences were noted in the number of adverse events as well as the rate of medication discontinuation due to sedation or dizziness (placebo, 42 of 202 [20.8%]; gabapentin, 52 of 208 [25.0%]). Conclusions and Relevance Perioperative administration of gabapentin had no effect on postoperative pain resolution, but it had a modest effect on promoting opioid cessation after surgery. The routine use of perioperative gabapentin may be warranted to promote opioid cessation and prevent chronic opioid use. Optimal dosing and timing of perioperative gabapentin in the context of specific operations to decrease opioid use should be addressed in further research. Trial Registration clinicaltrials.gov Identifier: NCT01067144


Journal of Pain Research | 2017

Factors associated with prescription opioid misuse in a cross-sectional cohort of patients with chronic non-cancer pain

Jennifer M. Hah; John A. Sturgeon; Jennifer Zocca; Yasamin Sharifzadeh; S. Mackey

Objective To examine demographic features, psychosocial characteristics, pain-specific behavioral factors, substance abuse history, sleep, and indicators of overall physical function as predictors of opioid misuse in patients presenting for new patient evaluation at a tertiary pain clinic. Methods Overall, 625 patients with chronic non-cancer pain prospectively completed the Collaborative Health Outcomes Information Registry, assessing pain catastrophizing, National Institutes of Health Patient-Reported Outcomes Measurement Information System standardized measures (pain intensity, pain behavior, pain interference, physical function, sleep disturbance, sleep-related impairment, anger, depression, anxiety, and fatigue), and substance use history. Additional information regarding current opioid prescriptions and opioid misuse was examined through retrospective chart review. Results In all, 41 (6.6%) patients presented with some indication of prescription opioid misuse. In the final multivariable logistic regression model, those with a history of illicit drug use (odds ratio [OR] 5.45, 95% confidence interval [CI] 2.48–11.98, p<0.0001) and a current opioid prescription (OR 4.06, 95% CI 1.62–10.18, p=0.003) were at elevated risk for opioid misuse. Conversely, every 1-h increase in average hours of nightly sleep decreased the risk of opioid misuse by 20% (OR 0.80, 95% CI 0.66–0.97, p=0.02). Conclusion These findings indicate the importance of considering substance use history, current opioid prescriptions, and sleep in universal screening of patients with chronic non-cancer pain for opioid misuse. Future work should target longitudinal studies to verify the causal relationships between these variables and subsequent opioid misuse.


Anesthesiology | 2008

The dromedary sign--an unusual capnograph tracing.

Richard A. Jaffe; Jason A. Talavera; Jennifer M. Hah; John G. Brock-Utne

ABNORMAL capnographs are not unusual in clinical anesthesia. These typically result from uneven ventilation in patients with lung disease. Previous reports also have noted abnormal capnograph tracings resulting from loose connections between the end-tidal carbon dioxide sample line and the gas analyzer or other leaks in the system. The resulting biphasic waveform has been described as a long lower plateau followed by a short higher plateau rather than the usual single plateau waveform. We report a case of an abnormal triphasic capnograph tracing with a mid-plateau hump. As we eventually discovered, this was due to a longer than normal sample line combined with a cracked water trap (Apollo, Drager Medical, Telford, PA). This case highlights the importance of prompt recognition of abnormal carbon dioxide waveforms and the resulting clinical implications. Also, we identified an equipment failure that was not detected during the Drager Apollo anesthesia machine self-check.

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