Burden of musculoskeletal disorders among registered nurses: evidence from the Thai nurse cohort study.

BACKGROUND: Musculoskeletal disorders (MSDs) are a major public health problem among registered nurses (RNs) in Thailand. Information on their burdens at a national level is limited. This study estimated the prevalence of MSDs among RNs using the 2009 Thai Nurse Cohort, a nationally representative sample of RNs in Thailand. METHODS: This study is part of the first wave survey of the Thai Nurse Cohort Study (TNCS) conducted in 2009. Members of the cohort consisted of 18,756 RNs across Thailand. A 13-page self-administered questionnaire was sent to participants where MSDs were measured by self-reported answers to questions related to experiencing MSDs during a previous year. However, 1070 RNs were excluded from this study since they were unemployed during a previous year, therefore the final sample size was 17,686 RNs. A 12-month prevalence of MSDs and its 95% confidence interval (95% CI) were estimated based on normal approximation to binomial distribution. Chi-square test for trend was used. RESULTS: Of the 17,686 RNs, 47.8% (95% CI: 47.0-48.5) reported having MSDs during the previous 12 months. The prevalence of MSDs significantly increased with age, body mass index, and working duration (all P < 0.001). Compared to the non-MSD group, RNs with MSDs had a higher proportion who perceived MSDs as a long-term, chronic medical condition (78.1% vs 20.7%; p < 0.001), being currently on medication (49.4% vs 14.7%; p < 0.001), using pain relief medication almost every day (9.0% vs 1.9%; p < 0.001), experiencing sickness absence (15.7% vs 1.1%; p < 0.001), seeking medical specialist consultations (odds ratio, OR 2.2; 95% CI: 2.0-2.3; p < 0.001), and seeking alternative medications (OR 2.5; 95% CI: 2.3-2.7; p < 0.001). CONCLUSIONS: Musculoskeletal disorders affected almost half of the RNs in Thailand annually. They placed a major healthcare burden and were a major cause of working days lost due to sick leaves, diminished productivity and quality of patient care. More attention should be paid to the prevention and effective management of MSDs in RNs in Thailand. Further study on ergonomics related to MSDs and its prevention are needed.

Thai nurse cohort study: cohort profiles and key findings.

BACKGROUND: Globally, the nursing profession faces shortages, high turnover, and inequitable distribution. These problems are particularly acute in South East Asia. The present paper describes the design and initial findings of the Thai Nurse Cohort Study (TNCS). METHODS: The TNCS is a longitudinal prospective cohort study comprising multiple age cohorts, initiated in 2009 and expected to run until 2027. Cohorts comprise registered nurses (RN) holding professional licenses granted by the Thailand Nursing and Midwifery Council. Follow-up is at 3-year intervals, with new (younger) TNCS cohorts introduced and older, no-longer eligible members checked out. This maintains the cohort size as representative of the Thai RN population. The first survey round (2009) used a self-administered mailed questionnaire. The second round (2012) provided follow-up of the initial cohort and formed the baseline survey of new entries. RESULTS: The sampling frame for the first round was 142,699 licensed RN; 50,200 age-stratified participants were randomly selected and mailed the questionnaire, and 18,198 questionnaires were returned owing to incorrect addresses. Of the remaining 32,002 participants, 18,756 (58.6 %) responded (average age 43.7 ± 9.8 years). About 15.4 % (equivalent to 20,000 of the current RN population), reported an intention to leave their nursing career. The second round achieved a follow-up rate of 60.2 %. This round included 3020 participants randomly selected from 6402 new RN (response rate, 38.3 %; mean age 23.1 ± 3.5 years). In this round, 11.2 % reported they intended to leave nursing in the next 2 years. CONCLUSIONS: These two survey rounds have highlighted that Thailand is facing critical nurse shortages. A high rate of nurses expressed an intention to leave the profession; the capacity to replace these potential losses is much lower.

Development and validation of machine learning for early mortality in systemic sclerosis.

Clinical predictors of mortality in systemic sclerosis (SSc) are diversely reported due to different healthcare conditions and populations. A simple predictive model for early mortality among patients with SSc is needed as a precise referral tool for general practitioners. We aimed to develop and validate a simple predictive model for predicting mortality among patients with SSc. Prognostic research with a historical cohort study design was conducted between January 1, 2013, and December 31, 2020, in adult SSc patients attending the Scleroderma Clinic at a university hospital in Thailand. The data were extracted from the Scleroderma Registry Database. Early mortality was defined as dying within 5 years after the onset of SSc. Deep learning algorithms with Adam optimizer and different machine learning algorithms (including Logistic Regression, Decision tree, AdaBoost, Random Forest, Gradient Boosting, XGBoost, and Autoencoder neural network) were used to classify SSc mortality. In addition, the model's performance was evaluated using the area under the receiver operating characteristic curve (auROC) and its 95% confidence interval (CI) and values in the confusion matrix. The predictive model development included 528 SSc patients, 343 (65.0%) were females and 374 (70.8%) had dcSSc. Ninety-five died within 5 years after disease onset. The final 2 models with the highest predictive performance comprise the modified Rodnan skin score (mRSS) and the WHO-FC ≥ II for Model 1 and mRSS and WHO-FC ≥ III for Model 2. Model 1 provided the highest predictive performance, followed by Model 2. After internal validation, the accuracy and auROC were good. The specificity was high in Models 1 and 2 (84.8%, 89.8%, and 98.8% in model 1 vs. 84.8%, 85.6%, and 98.8% in model 2). This simplified machine learning model for predicting early mortality among patients with SSc could guide early referrals to specialists and help rheumatologists with close monitoring and management planning. External validation across multi-SSc clinics should be considered for further study.

Optimization of the Chronic Kidney Disease-Peritoneal Dialysis App to Improve Care for Patients on Peritoneal Dialysis in Northeast Thailand: User-Centered Design Study.

BACKGROUND: The prevalence of peritoneal dialysis (PD) in Thailand is increasing rapidly in part because of Thailand's Peritoneal Dialysis First policy. PD is a home-based renal replacement therapy in which patients with chronic kidney disease perform up to 4 exchanges of dialysate fluid per day in the peritoneal cavity. Overhydration is one of the most common complications in patients on PD and is associated with increased morbidity and mortality. To monitor hydration status, patients collect hydration metrics, including body weight, blood pressure, urine output, and ultrafiltration volume, from each dialysis cycle and enter this information into a PD logbook. This information is reviewed bimonthly at PD clinic appointments. The chronic kidney disease-PD (CKD-PD) app with near-field communication (NFC) and optical character recognition (OCR) was developed to automate hydration metric collection. The information was displayed in the app for self-monitoring and uploaded to a database for real-time monitoring by the PD clinic staff. Early detection and treatment of overhydration could potentially reduce the morbidity and mortality related to overhydration. OBJECTIVE: This study aims to identify usability issues and technology adoption barriers for the CKD-PD app with NFC and OCR and a monitoring system and to use this information to make rapid cycle improvements. METHODS: A multidisciplinary team of nephrologists, PD clinic nurses, computer programmers, and engineers trained and observed 2 groups of 5 participants in the use of the CKD-PD app with NFC and OCR and a monitoring system. The participants were observed using technology in their homes in 3 phases. The data collected included the Unified Theory of Acceptance and Use of Technology questionnaire, think-aloud observation, user ratings, completion of hydration metrics, and upload of hydration metrics to the central database. These results were used by the team between phases to improve the functionality and usefulness of the app. RESULTS: The CKD-PD app with NFC and OCR and a monitoring system underwent 3 rapid improvement cycles. Issues were identified regarding the usability of the NFC and OCR data collection, app stability, user interface, hydration metric calculation, and display. NFC and OCR improved hydration metric capture; however, issues remained with their usability. App stability and user interface issues were corrected, and hydration metrics were successfully uploaded by the end of phase 3. Participants' scores on technology adoption decreased but were still high, and there was enthusiasm for the self-monitoring and clinical communication features. CONCLUSIONS: Our rapid cycle process improvement methodology identified and resolved key barriers and usability issues for the CKD-PD app with NFC and OCR and a monitoring system. We believe that this methodology can be accomplished with limited training in data collection, statistical analysis, and funding.

Repeated praziquantel treatment and Opisthorchis viverrini infection: a population-based cross-sectional study in northeast Thailand.

BACKGROUND: Opisthorchis viverrini infection is highly prevalent in northeast Thailand. This liver fluke is classified as a carcinogen due to its causal links with cholangiocarcinoma (CCA) development. Although treatment with praziquantel (PZQ) effectively cures O. viverrini infection, the prevalence remains high due to the traditional consumption of raw fish. Therefore, re-infection is common in the endemic community, leading to severe hepato-biliary morbidities including the fatal CCA. In this study, we evaluate the association between the frequency of previous PZQ treatment and current O. viverrini infections among Thai adults living in the endemic area of northeast Thailand. METHODS: This study includes all participants who were screened for O. viverrini infection in the Cholangiocarcinoma Screening and Care Program (CASCAP), northeast Thailand. History of PZQ treatment was recorded using a health questionnaire. O. viverrini infections were diagnosed using urine antigen detection. Associations between PZQ and O. viverrini were determined by adjusted odds ratio (aOR) and 95% confidence interval (CI) using multiple logistic regression. RESULTS: Among participants, 27.7% had previously been treated once with PZQ, 8.2% twice, 2.8% three times, and 3.5% more than three times. Current O. viverrini prevalence was 17% (n = 524). Compared with participants who never used PZQ, the aOR for infection among those who used the drug once was 1.09 (95% CI: 0.88-1.37), twice was 1.19 (95% CI: 0.85-1.68), three times was 1.28 (95% CI: 0.74-2.21), and more than three times was 1.86 (95% CI: 1.18-2.93; P = 0.007). CONCLUSIONS: The population with a frequent history of PZQ use and still continued raw fish consumption showed high levels of repeated reinfection with O. viverrini. They were infected, treated and re-infected repeatedly. These findings suggest that certain participants continue raw fish consumption even after previous infection. This is a particular problem in highly endemic areas for O. viverrini and increases the risk of CCA.

Correction to: Repeated praziquantel treatment and Opisthorchis viverrini infection: a population-based cross-sectional study in northeast Thailand.

In the original publication of this article [1], there is an error in the section of 'Ethics approval and consent to participate' at the end of the article, the correct Ethics reference number should be HE551404 rather than HE591067.

Incidence and risk factors for complications after definitive skeletal fixation of lower extremity in multiple injury patients: a retrospective chart review.

Background: The management of multiple injuries is complex. Type and timing of treatment for lower extremity fractures is a controversial subject. Although many studies have demonstrated the safety and effectiveness of early treatment, others have suggested that early definitive stabilization may cause complications, especially with chest and head injuries. The aim of this study was to determine the complications and effects of timing of fixation, and investigate risk factors for complications in multiple injuries patients with lower extremity fractures. Methods: A Retrospective chart review from Khon Kaen Trauma Registry between 2008 and 2015 were collected. All major complications were identified and collected for example acute respiratory distress syndrome (ARDS), acute kidney injury (AKI) and sepsis.  The time to definitive skeletal fixation from initial injury was identified and analyzed with multiple logistic regression. Results: 1224 multiple injuries patients with lower extremity fractures were identified. The mean age was 34±19.5 years, 74.4% were male and 25.6% female. The mean time from initial injury to definitive operation was 55.7±53.9 hours. Complications occurred with 178 patients (14.5%), the most common of which were pneumonia, ARDS and AKI. After adjusting for sex, severity of injury, we found that the operation within 24-48 hours complication was 6.67 times less common than in the early treatment group (less than 24 hours) (95% CI: 3.03 to 10.00, P-value< 0.001). Conclusions: About 15% of the multiple injuries patients with lower extremity fracture had major complications. The optimal time for definitive fixation in lower extremity fractures to reduce complications was within 24-48 hours. We found that if we operated too early (before 24 hours) or more than 48 hours after the injury it could increase the morbidity and mortality.

Utilization of full postnatal care services among rural Myanmar women and its determinants: a cross-sectional study.

Background: Mothers and their newborns are vulnerable to threats to their health and survival during the postnatal period. Full postnatal care (PNC) uptake decreases maternal deaths and is also essential for first 1,000 days of newborn's life, but PNC usage is usually inadequate in rural areas. Little is known about the full PNC utilization among rural Myanmar women. This study, therefore, aimed to study the situation of the utilization of full PNC and examine its determinants. Methods: This community-based cross-sectional study was conducted in selected villages of the Magway Region, Myanmar. A total of 500 married women who had children aged under 2 years were selected using multistage cluster sampling and interviewed with semi-structured questionnaires. The determinants of full PNC usage were identified by generalized estimating equation (GEE) under a logistic regression framework. Results: Among 500 rural women, around a quarter (25.20%; 95% confidence interval (CI), 21.58-29.21%) utilized full PNC. Multivariable analysis revealed that factors associated with full PNC usage included mothers attaining educational level of secondary or higher (adjusted odds ratio (AOR), 2.16; 95% CI, 1.18-3.94), belonging to higher income level (AOR, 2.02; 95% CI, 1.11-3.68), having male involvement (AOR, 2.19; 95% CI, 1.02-4.69), being of low birth order (i.e. the first birth) (AOR, 3.26; 95% CI, 1.80-5.91), and having awareness of postnatal danger signs (AOR, 2.10; 95% CI, 1.15-3.83). Moreover, the presence of misconceptions on postnatal practice was identified as a strong barrier to adequate PNC usage (AOR, 0.12; 95% CI, 0.04-0.36). Conclusion: Most of the rural women practiced inadequate PNC in Myanmar. Maternal healthcare services at rural areas should be intensively promoted, particularly among women who had high birth order (greater number of births). Health education regarding perinatal misconceptions and danger signs, and benefits of full PNC services usage should be emphasized and urgently extended.