Examining the factors influencing postpartum musculoskeletal pain: a thorough analysis of risk factors and pain assessment indices.

BACKGROUND: Musculoskeletal disorders after childbirth are common, but current studies often have a narrow focus, concentrating on particular areas and neglecting a thorough evaluation of pain locations and overall severity. This research aimed to determine the occurrence, spread, severity, and root causes of musculoskeletal discomfort in females during the 6-8 week period after giving birth, focusing on investigating the link between pain and posture. METHODS: This study collected data from 432 postpartum women, 6-8 weeks post-delivery, focusing on ten posture angles captured photographically and analysed using Exbody software. Participants also filled out structured questionnaires on pregnancy history, the Short Form McGill Pain Questionnaire (SF-MPQ) scores, physical activity patterns, and involvement in household and neonatal care tasks. RESULTS: In our research, 49.8% of the respondents experienced pain after childbirth in different regions of their bodies. Utilising SF-MPQ, the mean Pain Rating Index was 7.35 (SD = 5.93) and Present Pain Intensity and Visual Analog Scale was 3.13 (SD = 2.09). Among the evaluated postural angles, only the Q-angle exhibited a noteworthy correlation with knee discomfort. Individuals with less involvement in household and newborn care tasks had a significantly lower occurrence of postpartum pain, with a decrease of 76% (OR = 0.243, p = 0.001). Similarly, those who shared these responsibilities had a 53% decreased likelihood (OR = 0.468, p = 0.008) of experiencing postpartum pain. CONCLUSION: Many postpartum women experience moderate-intensity pain in various body regions. Pain's correlation with posture was limited. Reducing physical strain during infant care notably decreased postpartum pain, underscoring the need for holistic support for postpartum women.

Revisiting the Calculation for a Novel Measure of Average Lifespan Shortened: Real-World Examples From Cervical and Ovarian Cancers in Alberta, Canada, 2000 - 2020.

In this technical note, we primarily demonstrate the computation of confidence limits for a novel measure of average lifespan shortened (ALSS). We identified women who had died from cervical and ovarian cancer between 2000 and 2020 from the Alberta cancer registry. Years of life lost (YLL) was calculated using the national life tables of Canada. We estimated the ALSS as a ratio of YLL in relation to the expected lifespan. We computed the confidence limits of the measure using various approaches, including the normal distribution, gamma distribution, and bootstrap method. The new ALSS measure shows a modest gain in lifespan of women, particularly women with ovarian cancer, over the study period.

sEMG-Based End-to-End Continues Prediction of Human Knee Joint Angles Using the Tightly Coupled Convolutional Transformer Model.

Wearable exoskeleton robots can promote the rehabilitation of patients with physical dysfunction. And improving human-computer interaction performance is a significant challenge for exoskeleton robots. The traditional feature extraction process based on surface Electromyography(sEMG) is complex and requires manual intervention, making real-time performance difficult to guarantee. In this study, we propose an end-to-end method to predict human knee joint angles based on sEMG signals using a tightly coupled convolutional transformer (TCCT) model. We first collected sEMG signals from 5 healthy subjects. Then, the envelope was extracted from the noise-removed sEMG signal and used as the input to the model. Finally, we developed the TCCT model to predict the knee joint angle after 100 ms. For the prediction performance, we used the Root Mean Square Error(RMSE), Pearson Correlation Coefficient(CC), and Adjustment R2 as metrics to evaluate the error between the actual knee angle and the predicted knee angle. The results show that the model can predict the human knee angle quickly and accurately. The mean RMSE, Adjustment R2, and (CC) values of the model are 3.79°, 0.96, and 0.98, respectively, which are better than traditional deep learning models such as Informer (4.14, 0.95, 0.98), CNN (5.56, 0.89, 0.96) and CNN-BiLSTM (3.97, 0.95, 0.98). In addition, the prediction time of our proposed model is only 11.67 ± 0.67 ms, which is less than 100 ms. Therefore, the real-time and accuracy of the model can meet the continuous prediction of human knee joint angle in practice.

Trends in the Incidence of Cancer Among Adolescent and Young Adults in Alberta, 1983-2017: A Population-Based Study Using Cancer Registry Data.

Purpose: To describe the cancer incidence burden and trends among adolescent and young adults (AYAs) in Alberta, Canada over a 35-year period. Methods: We obtained data from the Alberta Cancer Registry on all first primary cancers, excluding non-melanoma skin cancer, diagnosed at ages 15-39 years among residents in Alberta from 1983 to 2017. Cancers were classified by using Barr's AYA cancer classification system. Age-standardized incidence rates (ASIR) and the average annual percentage change (AAPC) in incidence rates were calculated. Statistically significant changes in the AAPC during the study period were assessed using Joinpoint regression. Results: Overall, 23,652 incident cases of AYA cancer were diagnosed in Alberta. Females accounted for ∼60% of the diagnoses. AYA cancer increased significantly over the study period overall (AAPC: 0.5%; 95%CI: 0.3%-0.7%), for each sex (AAPCmale: 0.7%; 95%CI: 0.4%-0.9%; AAPCfemale: 0.4%; 95%CI: 0.2%-0.6%), and among male and female 20-39 year-olds. Although statistically significant increases were observed in 11 out of 29 cancer sites for at least a portion of the study period, with significant AAPCs ranging from 0.8% (95%CI: 0.01%-1.5%) to 6.6% (95%CI: 4.6%-8.5%), the main driver was thyroid cancer (AAPC: 3.7%; 95%CI: 3.2%-4.2%). Statistically significant decreases were observed for six cancer sites, with AAPCs ranging from -6.4% (95%CI: -8.7% to -4.1%) to -1.1% (95%CI: -1.8% to -0.5%). Conclusions: There is a growing cancer burden among AYAs in Alberta, which is driven primarily by thyroid cancer and early-onset cancers in males. These results highlight the need for etiological studies and tertiary strategies to prevent and mitigate morbidity and mortality in the AYA population.

Medical Cannabis Authorization in Patients With Cancer in the Prelegalization Era: A Population-Based Study.

CONTEXT: Studies show that patients with cancer use cannabis to manage symptoms and side effects. Medical cannabis is regulated by Health Canada; authorization patterns among cancer patients have not been well described. OBJECTIVES: The aim of the study is to describe medical cannabis authorization in Alberta, Canada. METHODS: The Alberta Cancer Registry was used to identify all patients aged 18 years and older diagnosed with invasive cancer from April 1, 2014 to December 31, 2016. These cases were linked to records from the College of Physicians and Surgeons of Alberta. Univariate and multivariate logistic regression models were constructed to determine factors associated with medical cannabis authorization. RESULTS: We identified 41,889 patients with cancer between April 1, 2014 and December 31, 2016. Of these patients, 1070 (2.6%) had a medical cannabis authorization. Fifty-one percent (541 of 1070) were authorized to use medical cannabis within one year of diagnosis, 52% (248 of 549) within one year of the start of systemic therapy, and 41% (128 of 312) within one year of the start of radiation therapy. Patients aged 18-29 (odds ratio [OR] 12.4; 95% CI 7.8-19.8), patients living in the Calgary zone (OR 1.8; 95% CI 1.6-2.1), those with advanced disease (Stage III/IV: OR 1.2; 95% CI 1.0-1.4), and those receiving systemic therapy (OR 2.0; 95% CI 1.7-2.4) were more likely to have an authorization for medical cannabis (P < 0.001). CONCLUSION: A small proportion of patients with cancer were authorized to use medical cannabis between 2014 and 2016 in Alberta. Authorization was associated with a cancer diagnosis and receiving treatment. Younger patients, those with advanced stage disease, and those undergoing systemic treatment were predictors of medical cannabis authorization.

Timely access and quality of care in colorectal cancer: a population-based cohort study using administrative data.

BACKGROUND: While efforts to improve cancer outcomes have typically focused on improving quality of care, recently, a growing emphasis has been placed on timely access to quality cancer care. This retrospective cohort study examines, at a population level, the relationship between quality and timeliness of colorectal cancer (CRC) care in a single Canadian province (Nova Scotia). Through the provincial cancer registry, we identified all residents diagnosed with invasive CRC between 2001 and 2005 that underwent a non-emergent resection. Using anonymized administrative databases that are individually linked at the patient level, we obtained clinicodemographic, diagnostic, and treatment event data. Selected charts were reviewed to ensure completeness of chemotherapy data. Performance on six quality indicators and the percentage of patients achieving wait-time benchmarks for diagnosis, surgery, and adjuvant therapy were calculated. The relationship between quality indicators and wait-time benchmarks was examined using logistic regression. RESULTS: Where an association was identified, patients who received 'higher quality care' had longer wait times. Individuals who received a complete preoperative colonoscopy were less likely to meet benchmarks for time from presentation to diagnosis and from diagnosis to surgery. Those who received an appropriate radiation oncology consultation were less likely to meet benchmarks for time from diagnosis to surgery and from surgery to adjuvant therapy. CONCLUSIONS: As governments and other organizations move forward with strategies to reduce wait times, they must also focus on how to define and monitor quality care, and consider the relationship between these two dimensions of health care. Similarly, when developing quality improvement initiatives, the impact on resource utilization and potential to create longer waits for care must be considered.

Examining stage IIB survival in a population-based cohort of patients with colorectal cancer.

BACKGROUND: In Nova Scotia, Canada, a previous study of colorectal cancer (CRC) cases diagnosed between January 1, 2001, and December 31, 2005, found that patients with stage IIB CRC had similar 5-year overall survival (OS) to those with stage IIIC cancer. This study sought to examine factors contributing to the observed stage IIB outcome, specifically nodal harvest, receipt of chemotherapy, and use of a new coding system to derive stage. METHODS: The provincial cancer registry identified all CRC cases diagnosed during the study period and staged this cohort using the Collaborative Stage (CS) Data Collection System. All patients with stage II and III cancer in the cohort were examined. Kaplan-Meier (KM) survival curves compared 5-year OS for patients with stage IIB cancer based on the factors of interest, and compared patients with stage IIB cancer to those with stage IIA and III cancer. RESULTS: OS for patients with stage IIB cancer (n = 187) was 44.7%, and differed depending on adequacy of nodal harvest (P = .005) and whether pathological or clinical/mixed evidence was used to derive stage (P = .013). Pathologically-staged patients with stage IIB cancer who had adequate nodal harvest had marginally improved OS compared to pathologically-staged patients who had inadequate nodal harvest (P = .07), and improved survival compared to patients with clinical/mixed stage (P = .004). Pathologically-staged patients with stage IIB cancer with adequate nodal harvest demonstrated similar 5-year OS to those with stage IIA and III cancer (P = .52 and P = .25, respectively). Cox proportional hazards models supported these findings. CONCLUSIONS: The inclusion of clinical/mixed evidence into staging classification and, perhaps to a lesser extent, the adequacy of nodal harvest appear to contribute to the observed worse survival for patients with stage IIB versus stage III cancer.

A team approach to improving colorectal cancer services using administrative health data.

BACKGROUND: Colorectal cancer (CRC) is the third most commonly diagnosed cancer in Canada and accounts for 11.9% of all cancer-related mortality. Fortunately, previous studies have provided evidence of improved outcomes from access to timely and appropriate health services along the disease trajectory in CRC. As a result, the CIHR/CCNS Team in Access to Colorectal Cancer Services in Nova Scotia (Team ACCESS) was created to build colorectal cancer (CRC) research capacity in Nova Scotia (NS) and to study access to and quality of CRC services along the entire continuum of cancer care. OBJECTIVES: The objectives of this paper are to: 1) provide a detailed description of the methodologies employed across the various studies being conducted by Team ACCESS; 2) demonstrate how administrative health data can be used to evaluate access and quality in CRC services; and 3) provide an example of an interdisciplinary team approach to addressing health service delivery issues. METHODS: All patients diagnosed with CRC in NS between 2001 and 2005 were identified through the Nova Scotia Cancer Registry (NSCR) and staged using the Collaborative Stage Data Collection System. Using administrative databases that were linked at the patient level, Team ACCESS created a retrospective longitudinal cohort with comprehensive demographic, clinical, and healthcare utilization data. These data were used to examine access to and quality of CRC services in NS, as well as factors affecting access to and quality of care, at various transition points along the continuum of care. Team ACCESS has also implemented integrated knowledge translation strategies targeting policy- and decision- makers. DISCUSSION: The development of Team ACCESS represents a unique approach to CRC research. We anticipate that the skills, tools, and knowledge generated from our work will also advance the study of other cancer disease sites in NS. Given the increasing prevalence of cancer, and with national and provincial funding agencies promoting collaborative research through increased funding for research team development, the work carried out by Team ACCESS is important in the Canadian context and exemplifies how a team approach is essential to comprehensively addressing issues surrounding not only cancer, but other chronic diseases in Canada.

Improving nodal harvest in colorectal cancer: so what?

BACKGROUND: Adequate nodal harvest (≥12 lymph nodes) in colorectal cancer has been shown to optimize staging and has been proposed as a quality indicator of colorectal cancer care. We previously demonstrated a population-based improvement in adequate nodal harvest over time, particularly with the use of an audit and feedback strategy. The goal of this current study is to evaluate the impact of improved adequate nodal harvest on 3 relevant clinical outcomes: node positivity rate, use of adjuvant chemotherapy, and survival. METHODS: This current population-based study included all patients undergoing resection for primary stage I-III colorectal cancer in Nova Scotia, Canada, from January 1, 2001 to December 31, 2005. Linkage of the provincial cancer registry with other administrative databases (hospital discharge data, physician claims data, and national census data) provided clinical, demographic, diagnostic, treatment event, and survival data. The association between increase in adequate node harvest and relevant clinical outcomes was examined for all patients and in a subgroup analysis of patients who received care in a health district that used audit and feedback to improve nodal harvest. RESULTS: Among the 2,250 patients, the median nodal harvest was 8, and the overall node positive rate was 35.9%. Despite significant improvement in the proportion of patients undergoing adequate nodal harvest over time (P<.0001), no significant change was observed in the node positivity rate (P=.51), proportion of patients undergoing adjuvant chemotherapy (P=.83), or survival (P=.25). In the subgroup analysis confined to patients where audit and feedback was used to improve nodal harvest rates, clinical outcomes were not improved. CONCLUSIONS: Although improvements in the rate of adequate nodal harvest did occur over time, no corresponding meaningful improvement in clinical outcomes was noted. Given the need that quality indicators not only be associated with outcome, but also that outcome improves as such indicators are optimized, this study questions the inclusion of a nodal harvest≥12 lymph nodes as a quality indicator of colorectal cancer care.

The impact of audit and feedback on nodal harvest in colorectal cancer.

BACKGROUND: Adequate nodal harvest (≥ 12 lymph nodes) in colorectal cancer has been shown to optimize staging and proposed as a quality indicator of colorectal cancer care. An audit within a single health district in Nova Scotia, Canada presented and published in 2002, revealed that adequate nodal harvest occurred in only 22% of patients. The goal of this current study was to identify factors associated with adequate nodal harvest, and specifically to examine the impact of the audit and feedback strategy on nodal harvest. METHODS: This population-based study included all patients undergoing resection for primary colorectal cancer in Nova Scotia, Canada, from 01 January 2001 to 31 December 2005. Linkage of the provincial cancer registry with other databases (hospital discharge, physician claims data, and national census data) provided clinicodemographic, diagnostic, and treatment-event data. Factors associated with adequate nodal harvest were examined using multivariate logistic regression. The specific interaction between year and health district was examined to identify any potential effect of dissemination of the previously-performed audit. RESULTS: Among the 2,322 patients, the median nodal harvest was 8; overall, 719 (31%) had an adequate nodal harvest. On multivariate analysis, audited health district (p < 0.0001), year (p < 0.0001), younger age (p < 0.0001), non-emergent surgery (p < 0.0001), more advanced stage (p = 0.008), and previous cancer history (p = 0.03) were associated with an increased likelihood of an adequate nodal harvest. Interaction between year and audited health district was identified (p = 0.006) such that the increase in adequate nodal harvest over time was significantly greater in the audited health district. CONCLUSIONS: Improvements in colorectal cancer nodal harvest did occur over time. A published audit demonstrating suboptimal nodal harvest appeared to be an effective knowledge translation tool, though more so for the audited health district, suggesting a potentially beneficial effect of audit and feedback strategies.