Notes

Dwelling beneath siege: durability, hopelessness, along with emotional problems between Palestinian individuals in the Gaza Reel.
Background Many of our daily behaviors are habitual, occurring automatically in response to learned contextual cues, and with minimal need for cognitive and self-regulatory resources. Behavioral habit strength predicts adherence to actions, including to medications. The time of day (morning vs. evening) may influence adherence and habit strength to the degree that stability of contexts/routines varies throughout the day. Purpose The current study evaluates whether patients are more adherent to morning versus evening doses of medication and if morning doses show evidence of greater habit strength than evening doses. Methods Objective adherence data (exact timing of pill dosing) were collected in an observational study by electronic monitoring pill bottles in a sample of patients on twice-daily pills for Type 2 diabetes (N = 51) over the course of 1 month. Results Data supported the hypothesis that patients would miss fewer morning than evening pills. However, counter to the hypothesis, variability in dose timing (an indicator of habit strength) was not significantly different for morning versus evening pills. Conclusions Findings suggest that medication adherence may be greater in the morning than in the evening. However, more research is needed to evaluate the role of habitual action in this greater adherence. Furthermore, future research should evaluate the validity of behavioral timing consistency as an indicator of habit strength.Objectives To address the faecal carriage prevalence of antibiotic-multiresistant bacteria and associated risk factors in a public long-term care facility (LTCF). Methods A prospective study in a single government-funded LTCF of 300 residents in Ciudad Real, Spain. ND646 Residents' clinical and demographic data were collected, as well as recent antibiotic consumption in the institution. Each participant contributed a rectal swab, which was plated on selective and differential-selective media. Colonies were identified by MALDI-TOF and ESBL production was confirmed by the double-disc synergy method, with characterization of the molecular mechanism by PCR. Isolates were typed by PFGE and submitted for ST131 screening by PCR. Results Faecal carriage of ESBL-producing Enterobacterales was detected in 58 (31%) of 187 participants and previous infection by MDR bacteria was identified as a risk factor. The genes characterized were blaCTX-M-15 (40.6%); blaCTX-M-14 (28.8%); blaCTX-M-27 (13.5%); and blaCTX-M-24 (10.1%). Some 56.4% of the isolates were grouped into the E. coli ST131 clone; 70.9% of these corresponded to the O25b serotype, 51.6% of them to Clade C1 (H30) and 12.9% to Clade C2 (H30Rx). Clade C1 isolates were mostly C1-M27, whereas the C2 sublineage was mainly related to the production of CTX-M-15. ST131-CTX-M-24 isolates (n = 6) corresponded to Clade A with serotype O16. Conclusions A high prevalence of ESBL-producing Enterobacterales faecal carriage has been detected in a single LTCF, highlighting the emergence of ST131 Clade A-M24 and Clade C1-M27 lineages.Background As spine surgery becomes increasingly common in the elderly, frailty has been used to risk stratify these patients. The Hospital Frailty Risk Score (HFRS) is a novel method of assessing frailty using International Classification of Diseases, Tenth Revision (ICD-10) codes. However, HFRS utility has not been evaluated in spinal surgery. Objective To assess the accuracy of HFRS in predicting adverse outcomes of surgical spine patients. Methods Patients undergoing elective spine surgery at a single institution from 2008 to 2016 were reviewed, and those undergoing surgery for tumors, traumas, and infections were excluded. The HFRS was calculated for each patient, and rates of adverse events were calculated for low, medium, and high frailty cohorts. Predictive ability of the HFRS in a model containing other relevant variables for various outcomes was also calculated. Results Intensive care unit (ICU) stays were more prevalent in high HFRS patients (66%) than medium (31%) or low (7%) HFRS patients. Similar results were found for nonhome discharges and 30-d readmission rates. Logistic regressions showed HFRS improved the accuracy of predicting ICU stays (area under the curve [AUC] = 0.87), nonhome discharges (AUC = 0.84), and total complications (AUC = 0.84). HFRS was less effective at improving predictions of 30-d readmission rates (AUC = 0.65) and emergency department visits (AUC = 0.60). Conclusion HFRS is a better predictor of length of stay (LOS), ICU stays, and nonhome discharges than readmission and may improve on modified frailty index in predicting LOS. Since ICU stays and nonhome discharges are the main drivers of cost variability in spine surgery, HFRS may be a valuable tool for cost prediction in this specialty.Background Evidence supports the use of guided imagery for smoking cessation; however, scalable delivery methods are needed to make it a viable approach. Telephone-based tobacco quitlines are a standard of care, but reach is limited. Adding guided imagery to quitline services might increase reach by offering an alternative approach. Purpose To develop and test the feasibility and potential impact of a guided imagery-based tobacco cessation intervention delivered using a quitline model. Methods Participants for this randomized feasibility trial were recruited statewide through a quitline or community-based methods. Participants were randomized to guided imagery Intervention Condition (IC) or active behavioral Control Condition (CC). After withdrawals, there were 105 participants (IC = 56; CC = 49). The IC consisted of six sessions in which participants created guided imagery audio files. The CC used a standard six-session behavioral protocol. Feasibility measures included recruitment rate, retention, and adherence to treatment. We also assessed 6-month quit rates and consumer satisfaction. Results Both the IC and CC protocols were feasible to deliver. We finalized protocols and materials for participants, coaches and study staff, and delivered the protocols with fidelity. We developed successful recruitment methods, and experienced high retention (6 months = 81.9%) and adherence (all sessions = 66.7%). Long-term quit rates (IC = 27.9%; CC = 38.1%) compared favorably to those of quitlines, and program satisfaction was high, suggesting that the protocols are acceptable to smokers and may contribute to smoking abstinence. Conclusions The guided imagery intervention is feasible and promising, suggesting that a fully powered RCT to test the efficacy of the intervention is warranted. Trial registration number NCT02968381.
Homepage: https://www.selleckchem.com/products/nd646.html