The relationship between chronic pain and health-related quality of life in long-term social assistance recipients in Norway

PurposeThe purposes of this study were to compare the health-related quality of life (HRQOL) of long-term social assistance recipients (LTRs) with and without chronic pain and determine the effect of select demographic, social, pain, alcohol, and illicit drug use characteristics on the physical and mental components of their HRQOL.MethodsIn this cross-sectional study, which is part of a larger study that evaluated the health and functional abilities of LTRs in Norway, 405 LTRs of which 178 had chronic pain were recruited from 14 of 433 municipalities.ResultsLTRs with chronic pain were older (P < .001), more often married (P = .002), feeling more lonely, (P = .048), and had more problems with alcohol (P = .035). The final regression model explained 41.2% (P < .001) of the variance in PCS scores and 32.2% (P < .001) of the variance in MCS scores. Being in chronic pain (29.7%), being older (4.7%), and never married (2%) predicted worse PCS scores. Feeling lonely (11.9%), having problems with illicit drug use (5.9%), and being in chronic pain (2.9%) predicted worse MCS scores.ConclusionLTRs with chronic pain rated both the physical and mental components of HRQOL lower than LTRs without chronic pain. The MCS score in both groups was negatively effected

The Relationships between Mood Disturbances and Pain, Hope, and Quality of Life in Hospitalized Cancer Patients with Pain on Regularly Scheduled Opioid Analgesic

Objective: The study purposes were to describe the percentage of patients in one of four mood groups (i.e., neither anxiety nor depression [NEITHER], only anxiety [ANX], only depression [DEP], both anxiety and depression [BOTH]) and to evaluate how differences in mood states are related to pain, hope, and quality of life (QOL). Methods: Oncology inpatients (n=225) completed Brief Pain Inventory, Herth Hope Index (HHI), and the European Organization for Research and Treatment of Cancer Core QOL Questionnaire-C30. Research nurses completed Symptom Severity Checklist, Karnofsky Performance Status score, and medical record reviews. Data were analyzed using x^2, Kruskal-Wallis, one-way analyses of variance (ANOVAs), and analyses of covariance (ANCOVA). Results: Thirty-two percent of patients were categorized in the NEITHER group, 12% in the ANX group, 12% in the DEP group, and 44% in the BOTH group. Younger patients and women were more likely to be in the BOTH group. While only minimal differences were found among the mood groups on pain intensity scores, patients in the NEITHER group in general, reported lower pain interference scores than those in the other three groups. Significant differences were found in HHI scores between the patients in the NEITHER group and the BOTH group. In addition, patients with both mood disorders reported significantly poorer QOL scores. Conclusions: Because 44% of the patients had both anxiety and depression, clinicians need to evaluate patients for the co-occurrence of these two symptoms, evaluate its impact on pain management, hope, and QOL, and develop appropriate interventions to manage these symptoms

Primary Care Providers’ Judgments of Opioid Analgesic Misuse in a Community-Based Cohort of HIV-Infected Indigent Adults

BackgroundPrimary care providers (PCPs) must balance treatment of chronic non-cancer pain with opioid analgesics with concerns about opioid misuse.ObjectiveWe co-enrolled community-based indigent adults and their PCPs to determine PCPs’ accuracy of estimating opioid analgesic misuse and illicit substance use.DesignPatient-provider dyad study.ParticipantsHIV-infected, community-based indigent adults (‘patients’) and their PCPs.Main measuresUsing structured interviews, we queried patients on use and misuse of opioid analgesics and illicit substances. PCPs completed patient- and provider-specific questionnaires. We calculated the sensitivity, specificity, and measures of agreement between PCPs’ judgments and patients’ reports of opioid misuse and illicit substance use. We examined factors associated with PCPs’ thinking that their patients had misused opioid analgesics and determined factors associated with patients’ misuse.Key resultsWe had 105 patient-provider dyads. Of the patients, 21 had misused opioids and 45 had used illicit substances in the past year. The sensitivity of PCPs’ judgments of opioid analgesic misuse was 61.9% and specificity, 53.6% (Kappa score 0.09, p = 0.10). The sensitivity of PCPs’ judgments of illicit substance use was 71.1% and specificity, 66.7% (Kappa score 0.37, p <0.001). PCPs were more likely to think that younger patients (Adjusted odds ratio (AOR) 0.89, 95% CI 0.84-0.97), African American patients (AOR 2.53, 95% CI 1.05-6.07) and those who had used illicit substances in the past year (AOR 3.33, 95% CI 1.35-8.20) had misused opioids. Younger (AOR 0.94, 95% CI 0.86-1.02) and African American (AOR 0.71, 95% CI 0.25-1.97) patients were not more likely to report misuse, whereas persons who had used illicit substances were (AOR 3.01, 95% CI 1.04-8.76).ConclusionPCPs’ impressions of misuse were discordant with patients’ self-reports of opioid analgesic misuse. PCPs incorrectly used age and race as predictors of misuse in this high-risk cohort

Perturbations in neuroinflammatory pathways are associated with paclitaxel-induced peripheral neuropathy in breast cancer survivors.

Paclitaxel is a common chemotherapy drug associated with the development of chronic paclitaxel-induced peripheral neuropathy (PIPN). PIPN is associated with neuroinflammatory mechanisms in pre-clinical studies. Here, we evaluated for differential gene expression (DGE) in peripheral blood between breast cancer survivors with and without PIPN and for neuroinflammatory (NI) related signaling pathways and whole-transcriptome profiles from other experiments. Pathway impact analysis identified 8 perturbed NI related pathways. Expression profile analysis found 15 experiments having similar whole-transcriptome profiles of DGE related to neuroinflammation and PIPN. These findings suggest that perturbations in pathways associated with neuroinflammation are found in cancer survivors with PIPN

Is Primary Care Providers’ Trust in Socially Marginalized Patients Affected by Race?

Interpersonal trust plays an important role in the clinic visit. Clinician trust in the patient may be especially important when prescribing opioid analgesics because of concerns about misuse. Previous studies have found that non-white patients are perceived negatively by clinicians.To examine whether clinicians' trust in patients differed by patients' race/ethnicity in a socially marginalized cohort.Cross-sectional study of patient-clinician dyads.169 HIV infected indigent patients recruited from the community and their 61 primary care providers (PCPs.)The Physician Trust in Patients Scale (PTPS), a validated scale that measures PCPs' trust in patients.The mean PTPS score was 43.2 (SD 10.8) out of a possible 60. Reported current illicit drug use and prescription opioid misuse were similar across patients' race or ethnicity. However, both patient illicit drug use and patient non-white race/ethnicity were associated with lower PTPS scores. In a multivariate model, non-white race/ethnicity was independently associated with PTPS scores 6.3 points lower than whites (95% CI: -9.9, -2.7). Current illicit drug use was associated with PTSP scores 5.5 lower than no drug use (95% CI -8.5, -2.5).In a socially marginalized cohort, non-white patients were trusted less than white patients by their PCPs, despite similar rates of illicit drug use and opioid analgesic misuse. The effect was independent of illicit drug use. This finding may reflect unconscious stereotypes by PCPs and may underlie disparities in chronic pain management

Comparing machine learning clustering with latent class analysis on cancer symptoms' data

Symptom Cluster Research is a major topic in Cancer Symptom Science. In spite of the several statistical and clinical approaches in this domain, there is not a consensus on which method performs better. Identifying a generally accepted analytical method is important in order to be able to utilize and process all the available data. In this paper we report a secondary analysis on cancer symptom data, comparing the performance of five Machine Learning (ML) clustering algorithms in doing so. Based on how well they separate specific subsets of symptom measurements we select the best of them and proceed to compare its performance with the Latent Class Analysis (LCA) method. This analysis is a part of an ongoing study for identifying suitable Machine Learning algorithms to analyse and predict cancer symptoms in cancer treatment

Randomized clinical trial to evaluate a cancer pain self-management intervention for outpatients.

Objective Unrelieved pain is common in patients with advanced cancer. Although psychoeducational interventions were found to decrease pain, effects were moderate. The purpose of this study was to evaluate the efficacy of a pain self-management intervention compared with usual care and to explore participants' experiences with pain management and study participation. Methods A multicenter randomized controlled trial design with post-trial interviews was used. Outpatients with cancer pain and their family caregivers were recruited from three Swiss university hospitals. The intervention group (IG) received the six-week intervention consisting of education, skills building, and nurse coaching. The control group (CG) received usual care. Outcome variables were analyzed using multilevel models. Interpretive description guided the qualitative study part. Results Twenty-one patients with advanced cancer and seven family caregivers completed the study. The group x time effect showed a statistically significant decrease in average pain (P ​= ​0.04), but no significant group x time effect for worst pain (P ​= ​0.06). Pain scores, pain-related knowledge, Pain Management Index, self-efficacy, and performance status improved in the IG (P ​< ​0.05). Almost all of the interviewed participants perceived the pain management diary, tailored intervention sessions, and weekly support as useful. None experienced study participation as burdensome. Conclusions This study was the first to test the efficacy of a psychoeducational cancer pain self-management intervention in a German-speaking context, with most patients receiving palliative care. Clinicians can recommend the use of pain management diaries. Tailoring interventions to an individual's situation and dynamic pain trajectory may improve patients' pain self-management. Registration number This study has been registered via ClinicalTrials.gov: NCT02713919.https://clinicaltrials.gov/ct2/show/NCT02713919?term=NCT02713919&amp;draw=2&amp;rank=1