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Dysmenorrhea, or menstrual pain, is a subjective experience, and can only be assessed by patient-reported outcomes. These instruments should be reliable, valid and responsive.
To identify and critically appraise the available evidence for the measurement properties of specific patient-reported outcome measures used for dysmenorrhea.
The PRISMA statement was used to report this systematic review. Databases searched were PubMed, SCOPUS, CINAHL, Web of Science, ScienceDirect and Google Scholar (April 2021; updated on February 2023). Original studies with primary data collection, with no restriction on language and publication date that reported psychometric properties of one or more dysmenorrhea-related patient-reported outcome measure. The literature searches, selection of studies, data extraction and assessment of the risk of bias were performed independently by two reviewers and followed the COSMIN guidelines.
Thirty studies were analysed in this review, and 19 patient-reported outcome measures were evaluated. The instruments varied in relation to the measured construct and measurement properties (validity, reliability and responsiveness). The methodological quality of the studies and the quality of evidence of the patient-reported outcome measures were variable. Among the 13 studies that reported the development of patient-reported outcome measures, most had inadequate methodological quality, and the overall rating was insufficient or inconsistent.
The Dysmenorrhea Symptom Interference (DSI) scale was the only identified patient-reported outcome measure that has the potential to be recommended because of its sufficient rating combined with moderate quality of evidence for content validity. Future studies should further evaluate the measurement properties of the existing patient-reported outcome measures, or develop new patient-reported outcome measures following the COSMIN methodology.
Not applicable as this is a systematic review.
PROSPERO protocol: CRD42021244410. Registration on April 22, 2021.
To explore hospital staff experiences and perceptions of patient-perpetrated violence.
Descriptive qualitative study.
Twelve semi-structured interviews (June–August 2022) were held with a diverse sample of hospital nurses, doctors, allied health professionals, security and a non-clinical manager. The framework approach was used to organise and analyse data, using Attribution Theory as a theoretical lens.
Three themes were identified: violence as (un)predictable, violence as (un)preventable and the cumulative toll of violence. In making sense of why patients become violent, participants described different ‘types’ of aggressive patients and variably attributed behaviours to situation, disposition or a combination of both. Regardless of perceived causal factors, staff overwhelmingly appeared to view violence as predictable. Participants also reflected on the wider structural problems underpinning violence, frequently alluding to their sense of relative powerlessness to initiate change. The cumulative toll of violence was a common thread, with staff describing their acquisition of ‘resilience’ and reflecting on its role in their responses to escalating situations.
Many hospital staff are resigned to the inevitability of violence. The concept of staff ‘resilience’ following violence is not unproblematic, having the potential to serve as a guise for acceptance and as an additional variable for which staff are held accountable. When designing strategies, organisations should ensure that accountability for violence reduction is distributed across multiple levels. This study makes a novel contribution by exploring the perspectives of multiple staff groups working across diverse hospital settings, and adds to a sparse literature on this subject in the UK.
Efforts to address violence against healthcare staff need to be power-conscious, ensuring that accountability is distributed across multiple levels.
This study is reported in line with the Consolidated Criteria for Reporting Qualitative Studies (COREQ).
No patient or public contribution.
To investigate the feasibility and acceptability of the training process, procedures, measures and recruitment strategies necessary for a future investigation to test the reliability and validity of using positivity resonance measures in health care encounters.
Although the measurement of positivity resonance is promising, and non-participant observation is considered effective, their approaches to studying nurse–patient relationships have not been fully explored.
A mixed-methods observational study.
Video recordings of 30 nurse–patient dyads completing telehealth video visit encounters were edited and coded using behavioural indicators of positivity resonance. A post-visit survey gathered data on the participants' perceptions of positivity resonance and the study procedures. The research team completed memos and procedural logs to provide narrative data on the study's training, coding, recruitment and operational procedures. The study included 33 persons with cancer and 13 oncology nurses engaging in telehealth video visit encounters at an academic oncology ambulatory care center located in the southeastern United States.
Study procedures were found to be feasible and acceptable to participants. An adequate sample of participants (N = 46) were enrolled and retained in the study. Interrater reliability, as evidenced by Cohen's weighted kappa, ranged from .575 to .752 and interclass correlation coefficients >.8 were attainable within a reasonable amount of time and with adequate training. Behavioural indicators of positivity resonance were observed in all telehealth visits and reported by the participants in the perceived positivity resonance survey. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist guided reporting.
Designing research around the concept of positivity resonance is an innovative and feasible approach to exploring how rapport is cultivated within nurse–patient relationships.
Measuring positivity resonance may hold promise for exploring patient and nurse outcomes including trust, responsiveness, health-related behaviours, well-being, resilience and satisfaction.
The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist guided the reporting of results to ensure that adequate details of the study were provided to ensure an accurate and complete report.
Planning of the research design and study procedures was done in consultation with nurse clinicians with experience with telehealth and managers responsible within the practice setting where the study was conducted. This ensured the study procedures were ethical, safe, secure and did not create unnecessary burden to the study participants. The study included collecting data from nurse and patient participants about the acceptability of the study procedures.
To map evidence of the existing virtual reality-based dementia educational programmes and the effects of these educational programmes on dementia formal and informal caregivers.
A scoping review.
A comprehensive search of nine databases was conducted to find studies from the inception of the databases to October 2023. Two authors independently screened the titles and abstracts related to the eligibility criteria. Full texts of potentially relevant studies were read by one author and checked by a second. Data extraction and synthesis using NVivo 12 were undertaken by one author and checked by two other authors.
Nineteen studies published between 2002 and 2022. The four randomised controlled studies and five qualitative studies were of moderate to good methodological quality. The 10 quasi-experimental studies were of weak to moderate quality. Fifteen virtual reality-based educational programmes had a positive influence on formal and informal caregivers, including improving caregivers' perceptions changing attitudes towards people with dementia, while the nursing competence of formal caregivers did not improve in short term. Educational programmes that covered dementia-related information and care strategies better improved the knowledge level of dementia formal and informal caregivers.
The qualitative and quantitative studies of moderate to good quality included in this study support the idea that virtual reality-based dementia educational programmes may be a safe and effective way and have potential benefits for improving knowledge, perceptions, attitudes and nursing competence.
This scoping review will provide an emerging teaching model for formal and informal caregivers of people with dementia and help them better understand the types and the influence of virtual reality-based dementia educational programmes.
PRISMA-ScR.
Not required as this review in accordance with the aim to map existing literature from the dementia formal and informal caregivers' perspective.
by Mehrdad Khezri, Courtney McKnight, Chenziheng Allen Weng, Sarah Kimball, Don Des Jarlais
BackgroundPersons who inject drugs (PWID) may be unengaged with healthcare services and face an elevated risk of severe morbidity and mortality associated with COVID-19 due to chronic diseases and structural inequities. However, data on COVID-19 vaccine uptake, particularly booster vaccination, among PWID are limited. We examined COVID-19 vaccine uptake and factors associated with booster vaccination among PWID in New York City (NYC).
MethodsWe recruited PWID using respondent-driven sampling from October 2021 to November 2023 in a survey that included HIV and SARS-CoV-2 antibodies testing. The questionnaire included demographics, COVID-19 vaccination and attitudes, and drug use behaviors.
ResultsOf 436 PWID, 80% received at least one COVID-19 vaccine dose. Among individuals who received at least one COVID-19 vaccine dose, 95% were fully vaccinated. After excluding participants recruited before booster authorization for general adults started in NYC, and those who had never received an initial vaccination, 41% reported having received a COVID-19 booster vaccine dose. COVID-19 booster vaccination was significantly associated with having a high school diploma or GED (adjusted odds ratio (aOR) 1.93; 95% confidence interval (CI) 1.09, 3.48), ever received the hepatitis A/B vaccine (aOR 2.23; 95% CI 1.27, 3.96), main drug use other than heroin/speedball, fentanyl and stimulants (aOR 14.4; 95% CI 2.32, 280), number of non-fatal overdoses (aOR 0.35; 95% CI 0.16, 0.70), and mean vaccination attitude score (aOR 0.94; 95% CI 0.89, 0.98).
ConclusionsWe found a suboptimal level of COVID-19 booster vaccination among PWID, which was consistent with the rates observed in the general population in NYC and the U.S. Community-based interventions are needed to improve COVID-19 booster vaccination access and uptake among PWID. Attitudes towards vaccination were significant predictors of both primary and booster vaccination uptake. Outreach efforts focusing on improving attitudes towards vaccination and educational programs are essential for reducing hesitancy and increasing booster vaccination uptake among PWID.
by Fatou Ndiaye, Abdoulaye Diop, Joseph Chabi, Katherine Sturm-Ramirez, Massila Senghor, El Hadji Diouf, Badara Samb, Seynabou Mocote Diedhiou, Omar Thiaw, Sarah Zohdy, Ellen Dotson, Doudou Sene, Mame Birame Diouf, Valerie Koscelnik, Lilia Gerberg, Abdoulaye Bangoura, Tiffany Clark, Ousmane Faye, Ibrahima Dia, Lassana Konate, El Hadji Amadou Niang
Urban malaria has become a challenge for most African countries due to urbanization, with increasing population sizes, overcrowding, and movement into cities from rural localities. The rapid expansion of cities with inappropriate water drainage systems, abundance of water storage habitats, coupled with recurrent flooding represents a concern for water-associated vector borne diseases, including malaria. This situation could threaten progress made towards malaria elimination in sub-Saharan countries, including Senegal, where urban malaria has presented as a threat to national elimination gains. To assess drivers of urban malaria in Senegal, a 5-month study was carried out from August to December 2019 in three major urban areas and hotspots for malaria incidence (Diourbel, Touba, and Kaolack) including the rainy season (August-October) and partly dry season (November–December). The aim was to characterize malaria vector larval habitats, vector dynamics across both seasons, and to identify the primary eco- environmental entomological factors contributing to observed urban malaria transmission. A total of 145 Anopheles larval habitats were found, mapped, and monitored monthly. This included 32 in Diourbel, 83 in Touba, and 30 in Kaolack. The number of larval habitats fluctuated seasonally, with a decrease during the dry season. In Diourbel, 22 of the 32 monitored larval habitats (68.75%) were dried out by December and considered temporary, while the remaining 10 (31.25%) were classified as permanent. In the city of Touba 28 (33.73%) were temporary habitats, and of those 57%, 71% and 100% dried up respectively by October, November, and December. However, 55 (66.27%) habitats were permanent water storage basins which persisted throughout the study. In Kaolack, 12 (40%) permanent and 18 (60%) temporary Anopheles larval habitats were found and monitored during the study. Three malaria vectors (An. arabiensis, An. pharoensis and An. funestus s.l.) were found across the surveyed larval habitats, and An. arabiensis was found in all three cities and was the only species found in the city of Diourbel, while An. arabiensis, An. pharoensis, and An. funestus s.l. were detected in the cities of Touba and Kaolack. The spatiotemporal observations of immature malaria vectors in Senegal provide evidence of permanent productive malaria vector larval habitats year-round in three major urban centers in Senegal, which may be driving high urban malaria incidence. This study aimed to assess the presence and type of anopheline larvae habitats in urban areas. The preliminary data will better inform subsequent detailed additional studies and seasonally appropriate, cost-effective, and sustainable larval source management (LSM) strategies by the National Malaria Control Programme (NMCP).
by Yusuf Ari Mashuri, Vitri Widyaningsih, Alimah Premanawasti, Jaap Koot, Zinzi Pardoel, Jeanet Landsman-Dijkstra, Maarten Postma, Ari Probandari
BackgroundA high prevalence of hypertension is found in Low- and Middle-income Countries (LMICs) including in Indonesia. However, hypertension awareness, treatment, and control are relativity poor. A community-based program to screen and educate people on non-communicable disease prevention (POSBINDU) was launched by the Indonesian government. However, the association between participation in the POSBINDU program with increasing knowledge, attitude, and practice of hypertension has not been widely assessed. In this study, we compared the knowledge, attitudes, and practices among people who accessed the POSBINDU and those who did not access the POSBINDU program. Subsequently, factors associated with the knowledge, attitudes, and practices among people who accessed the POSBINDU and those who did not access the POSBINDU were explored.
MethodsThis was an observational study with a cross-sectional design measuring the knowledge, attitudes, and practices for hypertension control in four districts in Indonesia from October 2019 to January 2020. A total of 1,988 respondents were included in this study. A questionnaire was used to assess the knowledge, attitudes, and practices of hypertension. Simple logistic regression was used to investigate the correlation between the characteristics of respondents and knowledge, attitudes, and practice status. Multiple logistic regression tests were conducted to investigate factors associated with knowledge, attitudes, and practice status.
ResultsWe found that people who accessed POSBINDU had higher odds of having better knowledge (aOR:1.4; 95%CI:1.2–1.8), however, accessed to POSBINDU was associated with lower attitudes (aOR:0.6; 85%CI: 0.5–0.7) and had no association with hypertension-related practice.
ConclusionPeople who accessed POSBINDU have an association with good knowledge, but the association with good attitude and practice was less clear. Therefore, an improvement in the POSBINDU program is needed to increase the attitudes and practices of hypertension.
by Na Li, Jian Yang, Xiaodong Li, Yanting Shi, Kunhong Wang
Background and aimsGastric intestinal metaplasia is a precancerous disease, and a timely diagnosis is essential to delay or halt cancer progression. Artificial intelligence (AI) has found widespread application in the field of disease diagnosis. This study aimed to conduct a comprehensive evaluation of AI’s diagnostic accuracy in detecting gastric intestinal metaplasia in endoscopy, compare it to endoscopists’ ability, and explore the main factors affecting AI’s performance.
MethodsThe study followed the PRISMA-DTA guidelines, and the PubMed, Embase, Web of Science, Cochrane, and IEEE Xplore databases were searched to include relevant studies published by October 2023. We extracted the key features and experimental data of each study and combined the sensitivity and specificity metrics by meta-analysis. We then compared the diagnostic ability of the AI versus the endoscopists using the same test data.
ResultsTwelve studies with 11,173 patients were included, demonstrating AI models’ efficacy in diagnosing gastric intestinal metaplasia. The meta-analysis yielded a pooled sensitivity of 94% (95% confidence interval: 0.92–0.96) and specificity of 93% (95% confidence interval: 0.89–0.95). The combined area under the receiver operating characteristics curve was 0.97. The results of meta-regression and subgroup analysis showed that factors such as study design, endoscopy type, number of training images, and algorithm had a significant effect on the diagnostic performance of AI. The AI exhibited a higher diagnostic capacity than endoscopists (sensitivity: 95% vs. 79%).
ConclusionsAI-aided diagnosis of gastric intestinal metaplasia using endoscopy showed high performance and clinical diagnostic value. However, further prospective studies are required to validate these findings.
by Junning Chen, Marta Aido, Andreas Roschger, Alexander van Tol, Sara Checa, Bettina M. Willie, Richard Weinkamer
Osteocyte lacuno-canalicular network (LCN) is comprised of micrometre-sized pores and submicrometric wide channels in bone. Accumulating evidence suggests multiple functions of this network in material transportation, mechanobiological signalling, mineral homeostasis and bone remodelling. Combining rhodamine staining and confocal laser scanning microscopy, the longitudinal cross-sections of six mouse tibiae were imaged, and the connectome of the network was quantified with a focus on the spatial heterogeneities of network density, connectivity and length of canaliculi. In-vivo loading and double calcein labelling on these tibiae allowed differentiating the newly formed bone from the pre-existing regions. The canalicular density of the murine cortical bone varied between 0.174 and 0.243 μm/μm3, and therefore is three times larger than the corresponding value for human femoral midshaft osteons. The spatial heterogeneity of the network was found distinctly more pronounced across the cortex than along the cortex. We found that in regions with a dense network, the LCN conserves its largely tree-like character, but increases the density by including shorter canaliculi. The current study on healthy mice should serve as a motivating starting point to study the connectome of genetically modified mice, including models of bone diseases and of reduced mechanoresponse.
To evaluate the effectiveness of a mental health screening form for early identification and care escalation of mental health issues in general settings. A secondary aim was to explore general nurses' use of the form and their confidence to discuss mental health issues with patients.
A cross-sectional design comprising a review of clinical records to determine use of the form, instances of missed care and escalation to the mental health team. The survey focused on nurses' confidence in general settings to engage in discussions with patients about mental health. Data were collected from April to December 2022. The Strengthening the Reporting of Observational Studies in Epidemiology Statement guided this study.
Of 400 patient records, 397 were analysed; 293 (73.8%) of those had mental health screening by nurses. Age was a significant factor, with younger patients more likely to be screened although concerns were typically recognized in older patients. Of the 20 patients identified with mental health concerns, 9 (45%) were referred for further evaluation by the Clinical Liaison Team. While nurses were proactive in assessing physical risks, assessing risk factors that required deeper conversations with patients, including psychiatric history, was lacking. The survey highlighted fewer than half of the respondents (46%, n = 10) felt competent to engage in discussions about mental health; however, most (59%, n = 13) knew when to seek a mental health referral.
General nurses have a role in the early identification and referral of patients with mental health challenges. However, training is imperative to facilitate deeper patient interactions concerning mental health. Integrating mental health checks within general settings is crucial for early detection and intervention, aligning with global quality care standards.
STROBE guidelines.
We received feedback that shaped the research protocol from a consumer representative.
In order to be positioned to address the increasing strain of burnout and worsening nurse shortage, a better understanding of factors that contribute to nursing workload is required. This study aims to examine the difference between order-based and clinically perceived nursing workloads and to quantify factors that contribute to a higher clinically perceived workload.
A retrospective cohort study was used on an observational dataset.
We combined patient flow, nurse staffing and assignment, and workload intensity data and used multivariate linear regression to analyze how various shift, patient, and nurse-level factors, beyond order-based workload, affect nurses' clinically perceived workload.
Among 53% of our samples, the clinically perceived workload is higher than the order-based workload. Factors associated with a higher clinically perceived workload include weekend or night shifts, shifts with a higher census, patients within the first 24 h of admission, and male patients.
The order-based workload measures tended to underestimate nurses' clinically perceived workload. We identified and quantified factors that contribute to a higher clinically perceived workload, discussed the potential mechanisms as to how these factors affect the clinically perceived workload, and proposed targeted interventions to better manage nursing workload.
By identifying factors associated with a high clinically perceived workload, the nurse manager can provide appropriate interventions to lighten nursing workload, which may further reduce the risk of nurse burnout and shortage.
Examine profiles of safety attitudes among novices and explore whether profiles moderate the occupational identity–turnover pathway.
Novice nurses face unique challenges in adopting positive safety attitudes, which influence outcomes like turnover. However, past research found only average levels of safety attitudes among novices, ignoring possible heterogeneity. Exploring whether meaningful subgroups exist based on safety perspectives and factors shaping them can provide insights to improve safety attitudes and retention.
This study was designed as a cross-sectional investigation.
Data were collected through the distribution of questionnaires. Descriptive statistics were first conducted, followed by latent profile analysis. We then carried out univariate analysis and ordinal multinomial regression to explore the factors shaping the different profiles. Finally, we examine the moderating effect of nurses' safety attitudes with different latent profiles on the relationship between professional identification and turnover intention.
A total of 816 novice nurses were included. Three profiles were identified: high, moderate and low safety attitudes – higher attitudes were associated with lower turnover intention. Interest in nursing, health status, identity and turnover predicted profile membership. Moderate profile had a stronger buffering effect on the identity–turnover link versus high profile.
Multiple safety attitude profiles exist among novice nurses. Certain factors like interest in nursing and occupational identity are associated with more positive safety profiles. Targeting these factors could potentially improve safety attitudes and reduce turnover among novice nurses. The moderating effects suggest that tailored interventions matching specific subgroups may maximize impact.
Assessing subgroup attitudes enables tailored training for novices' specific needs, nurturing continuous improvement. Supporting early career development and role identity may strengthen retention intentions.
The objective of this scoping review was to survey the literature on the use of AI/ML applications in analyzing inpatient EHR data to identify bundles of care (groupings of interventions). If evidence suggested AI/ML models could determine bundles, the review aimed to explore whether implementing these interventions as bundles reduced practice pattern variance and positively impacted patient care outcomes for inpatients with T2DM. Six databases were searched for articles published from January 1, 2000, to January 1, 2024. Nine studies met criteria and were summarized by aims, outcome measures, clinical or practice implications, AI/ML model types, study variables, and AI/ML model outcomes. A variety of AI/ML models were used. Multiple data sources were leveraged to train the models, resulting in varying impacts on practice patterns and outcomes. Studies included aims across 4 thematic areas to address: therapeutic patterns of care, analysis of treatment pathways and their constraints, dashboard development for clinical decision support, and medication optimization and prescription pattern mining. Multiple disparate data sources (i.e., prescription payment data) were leveraged outside of those traditionally available within EHR databases. Notably missing was the use of holistic multidisciplinary data (i.e., nursing and ancillary) to train AI/ML models. AI/ML can assist in identifying the appropriateness of specific interventions to manage diabetic care and support adherence to efficacious treatment pathways if the appropriate data are incorporated into AI/ML design. Additional data sources beyond the EHR are needed to provide more complete data to develop AI/ML models that effectively discern meaningful clinical patterns. Further study is needed to better address nursing care using AI/ML to support effective inpatient diabetes management.
To investigate the relationship between work readiness and work well-being for newly graduated nurses and the mediating role of emotional labor and psychological capital in this relationship.
A cross-sectional survey was conducted in mainland China. A total of 478 newly graduated nurses completed the Work Readiness Scale, Emotional Labour Scale, Psychological Capital Questionnaire, and Work Well-being Scale. Descriptive statistical methods, Pearson correlation analysis, and a structural equation model were used to analyze the available data.
Newly graduated nurses' work readiness was significantly positively correlated with work well-being (r = 0.21, p < 0.01), deep acting (r = 0.11, p < 0.05), and psychological capital (r = 0.18, p < 0.01). Emotional labor and psychological capital partially mediated the relationship between work readiness and work well-being. Additionally, emotional labor and psychological capital had a chain-mediating effect on the association.
Work readiness not only affects newly graduated nurses' work well-being directly but also indirectly through emotional labor and psychological capital. These results provide theoretical support and guidance for the study and improvement of newly graduated nurses' work well-being and emphasize the importance of intervention measures to improve work readiness and psychological capital and the adoption of deep-acting emotional-labor strategies.
As the awareness on violent deaths from guns, drugs, and suicides emerges as a public health crisis in the United States, attempts to prevent injury and mortality through nursing research are critical. The National Violent Death Reporting System provides public health surveillance of US violent deaths; however, understanding the National Violent Death Reporting System's research utility is limited. The purpose of our rapid review of the 2019-2023 literature was to understand to what extent artificial intelligence methods are being used with the National Violent Death Reporting System. We identified 16 National Violent Death Reporting System artificial intelligence studies, with more than half published after 2020. The text-rich content of National Violent Death Reporting System enabled researchers to center their artificial intelligence approaches mostly on natural language processing (50%) or natural language processing and machine learning (37%). Significant heterogeneity in approaches, techniques, and processes was noted across the studies, with critical methods information often lacking. The aims and focus of National Violent Death Reporting System studies were homogeneous and mostly examined suicide among nurses and older adults. Our findings suggested that artificial intelligence is a promising approach to the National Violent Death Reporting System data with significant untapped potential in its use. Artificial intelligence may prove to be a powerful tool enabling nursing scholars and practitioners to reduce the number of preventable, violent deaths.
As nearly two-thirds of women presenting at their first antenatal visit are either overweight or obese in urban South Africa, the preconception period is an opportunity to optimise health and offset transgenerational risk of both obesity and non-communicable diseases. This protocol describes the planned economic evaluation of an individually randomised controlled trial of a complex continuum of care intervention targeting women and children in Soweto, South Africa (Bukhali trial).
The economic evaluation of the Bukhali trial will be conducted as a within-trial analysis from both provider and societal perspectives. Incremental costs and health outcomes of the continuum of care intervention will be compared with standard care. The economic impact on implementing agencies (programme costs), healthcare providers, participants and their households will be estimated. Incremental cost-effectiveness ratios (ICERs) will be calculated in terms of cost per case of child adiposity at age years averted. Additionally, ICERs will also be reported in terms of cost per quality-adjusted life year gained. If Bukhali demonstrates effectiveness, we will employ a decision analytical model to examine the cost-effectiveness of the intervention over a child’s lifetime. A Markov model will be used to estimate long-term health benefits, healthcare costs and cost-effectiveness. Probabilistic sensitivity analyses will be conducted to explore uncertainty and ensure robust results. An analysis will be conducted to assess the equity impact of the intervention, by comparing intervention impact within quintiles of socioeconomic status.
The Bukhali trial economic evaluation has ethical approval from the Human Ethics Research Committee of the University of the Witwatersrand, Johannesburg, South Africa (M240162). The results of the economic evaluation will be disseminated in a peer-reviewed journal and presented at a relevant international conference.
Pan African Clinical Trials Registry (PACTR201903750173871; https://pactr.samrc.ac.za).
To assess the impact of tobacco control regulations and policy implementation on smoking cessation tendencies in cigarette users born between 1982 and 1991 in Chile.
Longitudinal cross-sectional study.
National level.
Data from the National Survey of Drug Consumption (Service of Prevention and Rehabilitation for Drug and Alcohol Consumption). A pseudo-cohort of smokers born between 1982 and 1991 (N=17 905) was tracked from 2002 to 2016.
Primary outcome was the tendency to cease smoking conceptualised as the report of using cigarettes 1 month or more ago relative to using cigarettes in the last 30 days. The main exposure variable was the Tobacco Policy Index—tracking tobacco policy changes over time. Logistic regression, controlling for various factors, was applied.
Models suggested a 14% increase in the smoking cessation tendency of individuals using cigarettes 1 month or more ago relative to those using cigarettes in the last 30 days (OR 1.14, CI 95% CI 1.10 to 1.19) for each point increment in the Tobacco Policy index.
Our study contributes to documenting a positive impact of the implementation of interventions considered in the MPOWER strategy in the progression of smoking cessation tendencies in smokers born between 1982 and 1991 in Chile.
Lymphoedema is a chronic condition caused by lymphatic insufficiency. It leads to swelling of the limb/midline region and an increased risk of infection. Lymphoedema is often associated with mental and physical problems limiting quality of life. The first choice of treatment is a conservative treatment, consisting of exercises, skin care, lymph drainage and compression. Reconstructive lymphatic surgery is also often performed, that is, lymphovenous anastomoses, lymph node transfer or a combination. However, robust evidence on the effectiveness of reconstructive lymphatic surgery is missing. Therefore, the objective of this trial is to investigate the added value of reconstructive lymphatic surgery to the conservative treatment in patients with lymphoedema.
A multicentre randomised controlled and pragmatic trial was started in March 2022 in three Belgian university hospitals. 90 patients with arm lymphoedema and 90 patients with leg lymphoedema will be included. All patients are randomised between conservative treatment alone (control group) or conservative treatment with reconstructive lymphatic surgery (intervention group). Assessments are performed at baseline and at 1, 3, 6, 12, 18, 24 and 36 months. The primary outcome is lymphoedema-specific quality of life at 18 months. Key secondary outcomes are limb volume and duration of wearing the compression garment at 18 months. The approach of reconstructive lymphatic surgery is based on presurgical investigations including clinical examination, lymphofluoroscopy, lymphoscintigraphy, lymph MRI or CT angiography (if needed). All patients receive conservative treatment during 36 months, which is applied by the patient’s own physical therapist and by the patient self. From months 7 to 12, the hours a day of wearing the compression garment are gradually decreased.
The study has been approved by the ethical committees of University Hospitals Leuven, Ghent University Hospital and CHU UCL Namur. Results will be disseminated via peer-reviewed journals and presentations.
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