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PloS One 2024During the Omicron pandemic, clinical first-line nurses played a crucial role in healthcare. Their innovative behavior enhanced the quality of nursing and served as a...
Innovative behavior and organizational innovation climate among the Chinese clinical first-line nurses during the Omicron pandemic: The mediating roles of self-transcendence.
BACKGROUND
During the Omicron pandemic, clinical first-line nurses played a crucial role in healthcare. Their innovative behavior enhanced the quality of nursing and served as a vital factor in driving the sustainable development of the nursing discipline and healthcare industry. Many previous studies have confirmed the significance of nurses' innovative behavior worldwide. However, the correlations among innovative behaviors, organizational innovation climate, self-transcendence, and their mediating roles in Chinese clinical first-line nurses need further research.
METHODS
A cross-sectional study was conducted, and the quality reporting conformed to the STROBE Checklist. From March 2022 to February 2023, a convenience sample of 1,058 Chinese clinical first-line nurses was recruited from seven tertiary grade-A hospitals of Tianjin city in Northern China. The Demographic Characteristics Questionnaire, Nurse Innovative Behavior Scale (NIBS), Nurse Organizational Innovation Climate Scale, and the Self-Transcendence Scale were used. The data was analyzed using descriptive statistics, correlation, and process plug-in mediation effect analyses.
RESULTS
The total scores of innovative behavior, organizational innovation climate, and self-transcendence were 33.19 ± 6.71, 68.88 ± 12.76, and 41.25 ± 7.83, respectively. Innovative behavior was positively correlated with the organizational innovation climate (r = 0.583, p < 0.01) and self-transcendence (r = 0.635, p < 0.01). Self-transcendence partially mediated mediating role between innovative behavior and organizational innovation climate, accounting for 41.7%.
CONCLUSION
The innovative behavior, organizational innovation climate, and self-transcendence among the first-line nurses during the Omicron pandemic were relatively moderate, which needs improving. Organizational innovation climate can directly affect the innovative behavior among Chinese clinical first-line nurses and indirectly through the mediating role of self-transcendence. It is recommended that nursing managers adjust their management strategies and techniques based on the unique characteristics of nurses during the pandemic. This includes fostering a positive and inclusive environment for organizational innovation, nurturing nurses' motivation and awareness for innovation, enhancing their ability to gather information effectively, overcoming negative emotions resulting from the pandemic, and promoting personal growth. These efforts will ultimately enhance nursing quality and satisfaction during the Omicron pandemic.
Topics: Humans; COVID-19; China; Cross-Sectional Studies; Adult; Female; Male; Organizational Innovation; Surveys and Questionnaires; Pandemics; Nurses; SARS-CoV-2; Organizational Culture; Middle Aged; East Asian People
PubMed: 38941294
DOI: 10.1371/journal.pone.0306109 -
PloS One 2024Although infant deaths worldwide have reduced, many children die before their first birthday. Infant deaths are widespread in low-income countries, and information about...
BACKGROUND
Although infant deaths worldwide have reduced, many children die before their first birthday. Infant deaths are widespread in low-income countries, and information about the cause of death is limited. In Ethiopia, 53% of infants' deaths occurred in their neonatal period, and 174 infants' deaths occurred from 3684 births. Hence, this study aimed to assess mothers' experiences with infant death and its predictors in Ethiopia.
METHODS
A total of 1730 weighted samples of mothers from the 2019 EDHS dataset, which was collected across the regions of Ethiopia, were included for analysis. A two-stage cluster sampling technique with a cross-sectional study design was used. All mothers whose children were under the age of 0-12 months were included in this study. Six count regression models were considered and compared using Akaike's information criteria and Bayesian information criterion with STATA version 15 software. The strength of the association between the number of infant deaths and possible predictors was determined at a P-value less than 0.05, with a 95% confidence interval. The findings were interpreted by using the incident rate ratio.
RESULTS
A total of 46.3% of mothers had lost at least one infant by death in the last five years before the 2019 EDHS survey was held. The mean and variance of infant deaths were 2.55 and 5.58, respectively. The histogram was extremely picked at the beginning, indicating that a large number of mothers did not lose their infants by death, and that shows the data had positive skewness. Mothers under 25-29 years of age (IRR: 1.75, 95% CI:1.48, 2.24), and 30-34 years of age (IRR: 1.42, 95% CI: 1.12, 2.82), Somali (IRR: 1.47, 95% CI: 1.02, 3.57), Gambela (IRR: 1.33, 95% CI: 1.10, 2.61), and Harari (IRR: 1.39, 95% CI: 1.02, 2.63) regions, rural resident mothers (IRR: 1.68, 95% CI: 1.09, 1.91, and Protestant (IRR = 1.43, 95% CI: 1.14, 2.96), and Muslim (IRR = 1.59, 95% CI: 1.07, 2.62) religion fellow of mothers were associated with a high risk of infants' deaths. Whereas, being rich IRR: 0.37, 95% CI: .27, .81) and adequate ANC visits (IRR: 0.28, 95% CI: .25, .83) were associated with a low risk of infant death.
CONCLUSION
Many mothers have experienced infant deaths, and the majority of infants' deaths occur after the first month of birth. Encouraging mothers to attend antenatal care visits, creating mothers' awareness about childcare, and ensuring equal health services distribution and utilization to rural residents are essential to minimize infant death. Educating lower-aged reproductive mothers would be a necessary intervention to prevent and control infant deaths.
Topics: Humans; Ethiopia; Mothers; Female; Infant; Adult; Infant, Newborn; Cross-Sectional Studies; Infant Mortality; Young Adult; Adolescent; Infant Death; Male; Rural Population; Bayes Theorem
PubMed: 38941290
DOI: 10.1371/journal.pone.0303358 -
PloS One 2024In this study, we employed various machine learning models to predict metabolic phenotypes, focusing on thyroid function, using a dataset from the National Health and...
In this study, we employed various machine learning models to predict metabolic phenotypes, focusing on thyroid function, using a dataset from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2012. Our analysis utilized laboratory parameters relevant to thyroid function or metabolic dysregulation in addition to demographic features, aiming to uncover potential associations between thyroid function and metabolic phenotypes by various machine learning methods. Multinomial Logistic Regression performed best to identify the relationship between thyroid function and metabolic phenotypes, achieving an area under receiver operating characteristic curve (AUROC) of 0.818, followed closely by Neural Network (AUROC: 0.814). Following the above, the performance of Random Forest, Boosted Trees, and K Nearest Neighbors was inferior to the first two methods (AUROC 0.811, 0.811, and 0.786, respectively). In Random Forest, homeostatic model assessment for insulin resistance, serum uric acid, serum albumin, gamma glutamyl transferase, and triiodothyronine/thyroxine ratio were positioned in the upper ranks of variable importance. These results highlight the potential of machine learning in understanding complex relationships in health data. However, it's important to note that model performance may vary depending on data characteristics and specific requirements. Furthermore, we emphasize the significance of accounting for sampling weights in complex survey data analysis and the potential benefits of incorporating additional variables to enhance model accuracy and insights. Future research can explore advanced methodologies combining machine learning, sample weights, and expanded variable sets to further advance survey data analysis.
Topics: Humans; Machine Learning; Thyroid Gland; Male; Female; Phenotype; Middle Aged; Adult; Nutrition Surveys; Thyroid Function Tests; ROC Curve; Neural Networks, Computer
PubMed: 38941283
DOI: 10.1371/journal.pone.0304785 -
PloS One 2024Hepatitis C virus (HCV) infection remains a major cause of liver related morbidity and mortality worldwide. Epidemiologic data on seroprevalence, viremia prevalence and...
Hepatitis C virus (HCV) infection remains a major cause of liver related morbidity and mortality worldwide. Epidemiologic data on seroprevalence, viremia prevalence and risk factors remain limited in sub-Saharan Africa. In Ghana, HCV-related deaths are estimated to have increased since 2015. Risk factors associated with HCV infection in Ghana are not well described. The aim of this study was to determine the prevalence of, and risk factors associated with hepatitis C virus infection in the Upper East Region located in the northern part of Ghana. A community-based cross-sectional study was conducted in 9 communities in the Upper East region of Ghana. A total of 1,769 participants aged ≥12 years were screened for HCV antibody (anti-HCV) using rapid diagnostic testing (RDT). Seventy-four participants undertook HCV RNA testing after a positive anti-HCV result. Multivariate logistic regression was used to determine risk factors associated with HCV seropositivity. The anti-HCV prevalence was 8.4%, with 149 out of 1,769 testing anti-HCV positive. Mean age (±SD) of seropositive persons was 45.4 (±16.3) years. The highest anti-HCV seroprevalence was amongst persons aged 60 years and above. Forty-four out of 74 (59.5%) seropositive cases had viremic infection and the estimated viremic prevalence in the screened population was 5.0%. Predictors of HCV seropositivity were age (OR 1.03 95% CI 1.01-1.04), history of female genital mutilation or circumcision (OR 1.63 95% CI 1.04-2.55), sexual activity (OR 2.57 95% CI 1.38-4.79), positive maternal HCV status (OR 10.38 95% CI 4.13-26.05) and positive HIV status (OR 4.03 95% CI 1.35-12.05). In conclusion, the Upper East Region demonstrates a high Hepatitis C antibody prevalence. Almost 60% of individuals have viremic infection, however the cost of RNA testing is a barrier to virological diagnosis. There is a need to educate the population about HCV-associated risk factors to reduce HCV transmission and burden of disease.
Topics: Humans; Ghana; Female; Male; Middle Aged; Cross-Sectional Studies; Risk Factors; Adult; Hepatitis C; Prevalence; Hepacivirus; Young Adult; Seroepidemiologic Studies; Adolescent; Hepatitis C Antibodies; Aged; Child
PubMed: 38941280
DOI: 10.1371/journal.pone.0306292 -
PloS One 2024Personal care for body organs is a well-known practice of human beings, especially those organs that need regular care to improve function or hygiene. The ear is a...
BACKGROUND
Personal care for body organs is a well-known practice of human beings, especially those organs that need regular care to improve function or hygiene. The ear is a unique sense organ with a specific anatomical shape to perform the function of hearing and balance.
OBJECTIVES
To determine healthcare practitioners' current knowledge, behavior, and attitude regarding ear care.
SUBJECTS AND METHODS
This cross-sectional study was conducted among healthcare practitioners at different hospitals in Najran City, Saudi Arabia, from 25th June to 30th August 2022. A self-administered questionnaire was distributed among healthcare practitioners using an online survey. The questionnaire includes basic demographic characteristics (i.e. gender, speciality, and religion). It assesses the knowledge, behavior, and attitude toward ear care, and the use of mobile headphones and earrings that affect ear health. All statistical data were analyzed using SPSS version 26.
RESULTS
Of the 209 healthcare practitioners involved, 60.8% were females, and 46.9% were physicians. The prevalence of self-ear cleaning was 97.6%. Of them, 33% were cleaning their ears every week. Cotton buds were the most preferred method for self-ear cleaning. The proportion of participants who injured their ears while cleaning was 8.6%. The most common treatment method to relieve ear pain was visiting a doctor (44.4%) and utilizing a painkiller (29.7%). Interestingly, respondents who injured their ears during cleaning and those who experienced wax accumulation were significantly more common among physicians.
CONCLUSION
Self-ear cleaning practices are widely prevalent in this study which could be related to the lack of knowledge about ear care among healthcare practitioners. Physicians who experienced wax accumulation tend to use other methods for self-ear cleaning rather than cotton buds. Further research is needed to determine the knowledge, attitude, and practices of the population who are working in healthcare institutions.
Topics: Humans; Saudi Arabia; Female; Male; Adult; Health Knowledge, Attitudes, Practice; Cross-Sectional Studies; Surveys and Questionnaires; Middle Aged; Health Personnel; Attitude of Health Personnel; Ear
PubMed: 38941273
DOI: 10.1371/journal.pone.0303761 -
JMIR Research Protocols Jun 2024Despite the potential to significantly reduce complications, many patients do not consistently receive diabetes preventive care. Our research team recently applied... (Randomized Controlled Trial)
Randomized Controlled Trial
BACKGROUND
Despite the potential to significantly reduce complications, many patients do not consistently receive diabetes preventive care. Our research team recently applied user-centered design sprint methodology to develop a patient portal intervention empowering patients to address selected diabetes care gaps (eg, no diabetes eye examination in last 12 months).
OBJECTIVE
This study aims to evaluate the effect of our novel diabetes care gap intervention on completion of selected evidence-based diabetes preventive care services and secondary outcomes.
METHODS
We are conducting a pragmatic randomized controlled trial of the effect of the intervention on diabetes care gaps. Adult patients with diabetes mellitus (DM) are recruited from primary care clinics affiliated with Vanderbilt University Medical Center. Participants are eligible if they have type 1 or 2 DM, can read in English, are aged 18-75 years, have a current patient portal account, and have reliable access to a mobile device with internet access. We exclude patients with medical conditions that prevent them from using a mobile device, severe difficulty seeing, pregnant women or women who plan to become pregnant during the study period, and patients on dialysis. Participants will be randomly assigned to the intervention or usual care. The primary outcome measure will be the number of diabetes care gaps among 4 DM preventive care services (diabetes eye examination, pneumococcal vaccination, hemoglobin A, and urine microalbumin) at 12 months after randomization. Secondary outcomes will include diabetes self-efficacy, confidence managing diabetes in general, understanding of diabetes preventive care, diabetes distress, patient portal satisfaction, and patient-initiated orders at baseline, 3 months, 6 months, and 12 months after randomization. An ordinal logistic regression model will be used to quantify the effect of the intervention on the number of diabetes care gaps at the 12-month follow-up. For dichotomous secondary outcomes, a logistic regression model will be used with random effects for the clinic and provider variables as needed. For continuous secondary outcomes, a regression model will be used.
RESULTS
This study is ongoing. Recruitment was closed in February 2022; a total of 433 patients were randomized. Of those randomized, most (n=288, 66.5%) were non-Hispanic White, 33.5% (n=145) were racial or ethnic minorities, 33.9% (n=147) were aged 65 years or older, and 30.7% (n=133) indicated limited health literacy.
CONCLUSIONS
The study directly tests the hypothesis that a patient portal intervention-alerting patients about selected diabetes care gaps, fostering understanding of their significance, and allowing patients to initiate care-will reduce diabetes care gaps compared with usual care. The insights gained from this study may have broad implications for developing future interventions to address various care gaps, such as gaps in cancer screening, and contribute to the development of effective, scalable, and sustainable approaches to engage patients in chronic disease management and prevention.
TRIAL REGISTRATION
ClinicalTrials.gov NCT04894903; https://classic.clinicaltrials.gov/ct2/show/NCT04894903.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)
DERR1-10.2196/56123.
Topics: Humans; Patient Portals; Adult; Middle Aged; Female; Male; Aged; Adolescent; Diabetes Mellitus; Young Adult; Pragmatic Clinical Trials as Topic
PubMed: 38941148
DOI: 10.2196/56123 -
JMIR Research Protocols Jun 2024Artificial intelligence (AI) medical devices have the potential to transform existing clinical workflows and ultimately improve patient outcomes. AI medical devices have...
BACKGROUND
Artificial intelligence (AI) medical devices have the potential to transform existing clinical workflows and ultimately improve patient outcomes. AI medical devices have shown potential for a range of clinical tasks such as diagnostics, prognostics, and therapeutic decision-making such as drug dosing. There is, however, an urgent need to ensure that these technologies remain safe for all populations. Recent literature demonstrates the need for rigorous performance error analysis to identify issues such as algorithmic encoding of spurious correlations (eg, protected characteristics) or specific failure modes that may lead to patient harm. Guidelines for reporting on studies that evaluate AI medical devices require the mention of performance error analysis; however, there is still a lack of understanding around how performance errors should be analyzed in clinical studies, and what harms authors should aim to detect and report.
OBJECTIVE
This systematic review will assess the frequency and severity of AI errors and adverse events (AEs) in randomized controlled trials (RCTs) investigating AI medical devices as interventions in clinical settings. The review will also explore how performance errors are analyzed including whether the analysis includes the investigation of subgroup-level outcomes.
METHODS
This systematic review will identify and select RCTs assessing AI medical devices. Search strategies will be deployed in MEDLINE (Ovid), Embase (Ovid), Cochrane CENTRAL, and clinical trial registries to identify relevant papers. RCTs identified in bibliographic databases will be cross-referenced with clinical trial registries. The primary outcomes of interest are the frequency and severity of AI errors, patient harms, and reported AEs. Quality assessment of RCTs will be based on version 2 of the Cochrane risk-of-bias tool (RoB2). Data analysis will include a comparison of error rates and patient harms between study arms, and a meta-analysis of the rates of patient harm in control versus intervention arms will be conducted if appropriate.
RESULTS
The project was registered on PROSPERO in February 2023. Preliminary searches have been completed and the search strategy has been designed in consultation with an information specialist and methodologist. Title and abstract screening started in September 2023. Full-text screening is ongoing and data collection and analysis began in April 2024.
CONCLUSIONS
Evaluations of AI medical devices have shown promising results; however, reporting of studies has been variable. Detection, analysis, and reporting of performance errors and patient harms is vital to robustly assess the safety of AI medical devices in RCTs. Scoping searches have illustrated that the reporting of harms is variable, often with no mention of AEs. The findings of this systematic review will identify the frequency and severity of AI performance errors and patient harms and generate insights into how errors should be analyzed to account for both overall and subgroup performance.
TRIAL REGISTRATION
PROSPERO CRD42023387747; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=387747.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)
PRR1-10.2196/51614.
Topics: Humans; Randomized Controlled Trials as Topic; Artificial Intelligence; Algorithms; Systematic Reviews as Topic; Patient Harm; Equipment and Supplies; Research Design
PubMed: 38941147
DOI: 10.2196/51614 -
JMIR Research Protocols Jun 2024The lack of regular physical activity (PA) in individuals with spinal cord injury (SCI) in the United States is an ongoing health crisis. Regular PA and exercise-based... (Randomized Controlled Trial)
Randomized Controlled Trial
mHealth-Based Just-in-Time Adaptive Intervention to Improve the Physical Activity Levels of Individuals With Spinal Cord Injury: Protocol for a Randomized Controlled Trial.
BACKGROUND
The lack of regular physical activity (PA) in individuals with spinal cord injury (SCI) in the United States is an ongoing health crisis. Regular PA and exercise-based interventions have been linked with improved outcomes and healthier lifestyles among those with SCI. Providing people with an accurate estimate of their everyday PA level can promote PA. Furthermore, PA tracking can be combined with mobile health technology such as smartphones and smartwatches to provide a just-in-time adaptive intervention (JITAI) for individuals with SCI as they go about everyday life. A JITAI can prompt an individual to set a PA goal or provide feedback about their PA levels.
OBJECTIVE
The primary aim of this study is to investigate whether minutes of moderate-intensity PA among individuals with SCI can be increased by integrating a JITAI with a web-based PA intervention (WI) program. The WI program is a 14-week web-based PA program widely recommended for individuals with disabilities. A secondary aim is to investigate the benefit of a JITAI on proximal PA, defined as minutes of moderate-intensity PA within 120 minutes of a PA feedback prompt.
METHODS
Individuals with SCI (N=196) will be randomized to a WI arm or a WI+JITAI arm. Within the WI+JITAI arm, a microrandomized trial will be used to randomize participants several times a day to different tailored feedback and PA recommendations. Participants will take part in the 24-week study from their home environment in the community. The study has three phases: (1) baseline, (2) WI program with or without JITAI, and (3) PA sustainability. Participants will provide survey-based information at the initial meeting and at the end of weeks 2, 8, 16, and 24. Participants will be asked to wear a smartwatch every day for ≥12 hours for the duration of the study.
RESULTS
Recruitment and enrollment began in May 2023. Data analysis is expected to be completed within 6 months of finishing participant data collection.
CONCLUSIONS
The JITAI has the potential to achieve long-term PA performance by delivering tailored, just-in-time feedback based on the person's actual PA behavior rather than a generic PA recommendation. New insights from this study may guide intervention designers to develop engaging PA interventions for individuals with disability.
TRIAL REGISTRATION
ClinicalTrials.gov NCT05317832; https://clinicaltrials.gov/study/NCT05317832.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)
DERR1-10.2196/57699.
Topics: Humans; Spinal Cord Injuries; Exercise; Telemedicine; Male; Female; Adult; Middle Aged; Exercise Therapy; Randomized Controlled Trials as Topic
PubMed: 38941145
DOI: 10.2196/57699 -
JAMA Network Open Jun 2024
Topics: Humans; Opioid-Related Disorders; Primary Health Care; Health Knowledge, Attitudes, Practice; Female; Male; Adult; Middle Aged; Analgesics, Opioid; Cross-Sectional Studies; Surveys and Questionnaires
PubMed: 38941101
DOI: 10.1001/jamanetworkopen.2024.19094 -
Health Technology Assessment... Jun 2024Anterior cruciate ligament injury of the knee is common and leads to decreased activity and risk of secondary osteoarthritis of the knee. Management of patients with a... (Randomized Controlled Trial)
Randomized Controlled Trial
BACKGROUND
Anterior cruciate ligament injury of the knee is common and leads to decreased activity and risk of secondary osteoarthritis of the knee. Management of patients with a non-acute anterior cruciate ligament injury can be non-surgical (rehabilitation) or surgical (reconstruction). However, insufficient evidence exists to guide treatment.
OBJECTIVE(S)
To determine in patients with non-acute anterior cruciate ligament injury and symptoms of instability whether a strategy of surgical management (reconstruction) without prior rehabilitation was more clinically and cost-effective than non-surgical management (rehabilitation).
DESIGN
A pragmatic, multicentre, superiority, randomised controlled trial with two-arm parallel groups and 1:1 allocation. Due to the nature of the interventions, no blinding could be carried out.
SETTING
Twenty-nine NHS orthopaedic units in the United Kingdom.
PARTICIPANTS
Participants with a symptomatic (instability) non-acute anterior cruciate ligament-injured knee.
INTERVENTIONS
Patients in the surgical management arm underwent surgical anterior cruciate ligament reconstruction as soon as possible and without any further rehabilitation. Patients in the rehabilitation arm attended physiotherapy sessions and only were listed for reconstructive surgery on continued instability following rehabilitation. Surgery following initial rehabilitation was an expected outcome for many patients and within protocol.
MAIN OUTCOME MEASURES
The primary outcome was the Knee Injury and Osteoarthritis Outcome Score 4 at 18 months post randomisation. Secondary outcomes included return to sport/activity, intervention-related complications, patient satisfaction, expectations of activity, generic health quality of life, knee-specific quality of life and resource usage.
RESULTS
Three hundred and sixteen participants were recruited between February 2017 and April 2020 with 156 randomised to surgical management and 160 to rehabilitation. Forty-one per cent ( = 65) of those allocated to rehabilitation underwent subsequent reconstruction within 18 months with 38% ( = 61) completing rehabilitation and not undergoing surgery. Seventy-two per cent ( = 113) of those allocated to surgery underwent reconstruction within 18 months. Follow-up at the primary outcome time point was 78% ( = 248; surgical, = 128; rehabilitation, = 120). Both groups improved over time. Adjusted mean Knee Injury and Osteoarthritis Outcome Score 4 scores at 18 months had increased to 73.0 in the surgical arm and to 64.6 in the rehabilitation arm. The adjusted mean difference was 7.9 (95% confidence interval 2.5 to 13.2; = 0.005) in favour of surgical management. The per-protocol analyses supported the intention-to-treat results, with all treatment effects favouring surgical management at a level reaching statistical significance. There was a significant difference in Tegner Activity Score at 18 months. Sixty-eight per cent ( = 65) of surgery patients did not reach their expected activity level compared to 73% ( = 63) in the rehabilitation arm. There were no differences between groups in surgical complications ( = 1 surgery, = 2 rehab) or clinical events ( = 11 surgery, = 12 rehab). Of surgery patients, 82.9% were satisfied compared to 68.1% of rehabilitation patients. Health economic analysis found that surgical management led to improved health-related quality of life compared to non-surgical management (0.052 quality-adjusted life-years, = 0.177), but with higher NHS healthcare costs (£1107, < 0.001). The incremental cost-effectiveness ratio for the surgical management programme versus rehabilitation was £19,346 per quality-adjusted life-year gained. Using £20,000-30,000 per quality-adjusted life-year thresholds, surgical management is cost-effective in the UK setting with a probability of being the most cost-effective option at 51% and 72%, respectively.
LIMITATIONS
Not all surgical patients underwent reconstruction, but this did not affect trial interpretation. The adherence to physiotherapy was patchy, but the trial was designed as pragmatic.
CONCLUSIONS
Surgical management (reconstruction) for non-acute anterior cruciate ligament-injured patients was superior to non-surgical management (rehabilitation). Although physiotherapy can still provide benefit, later-presenting non-acute anterior cruciate ligament-injured patients benefit more from surgical reconstruction without delaying for a prior period of rehabilitation.
FUTURE WORK
Confirmatory studies and those to explore the influence of fidelity and compliance will be useful.
TRIAL REGISTRATION
This trial is registered as Current Controlled Trials ISRCTN10110685; ClinicalTrials.gov Identifier: NCT02980367.
FUNDING
This award was funded by the National Institute of Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 14/140/63) and is published in full in ; Vol. 28, No. 27. See the NIHR Funding and Awards website for further award information.
Topics: Humans; Male; Female; Anterior Cruciate Ligament Injuries; Adult; United Kingdom; Cost-Benefit Analysis; Anterior Cruciate Ligament Reconstruction; Quality of Life; Quality-Adjusted Life Years; Middle Aged; Young Adult; State Medicine; Joint Instability; Adolescent; Technology Assessment, Biomedical
PubMed: 38940695
DOI: 10.3310/VDKB6009