Tag: statistics

BMJ Open Qual. 2024 Apr 29;13(2):e002649. doi: 10.1136/bmjoq-2023-002649.

ABSTRACT

Utilisation rates for healthcare services vary widely both within and between nations. Moreover, healthcare providers with insurance-based reimbursement systems observe an effect of social determinants of health on healthcare utilisation rates and outcomes. Even in countries with publicly funded universal healthcare such as Norway, utilisation rates for medical and surgical interventions vary between and within health regions and hospitals.Most interventions targeting overuse and high utilisation rates are based on the assumption that knowledge of areas of unwarranted variation in healthcare automatically will lead to a reduction in unwarranted variation. Recommendations regarding how to reduce this variation are often not very detailed or prominent.This paper describes a protocol for reducing the overuse of upper endoscopy in a Norwegian health region. The protocol uses a combination of digital tools and psychological methods targeting behavioural change in order to alter healthcare workers’ approach to patient care.The aim of the planned intervention is to evaluate the effectiveness of a multifaceted set of interventions to reduce the overuse of upper endoscopy in patients under 45 years. A secondary aim is to evaluate the specific effect of the various parts of the intervention.

PMID:38684346 | DOI:10.1136/bmjoq-2023-002649

BMJ Open Qual. 2024 Apr 29;13(2):e002265. doi: 10.1136/bmjoq-2023-002265.

ABSTRACT

Caesarean section is the most common inpatient surgery in the USA, with more than 1.1 million procedures in 2020. Similar to other surgical procedures, healthcare providers rely on opioids for postoperative pain management. However, current evidence shows that postpartum patients usually experience less pain due to pregnancy-related physiological changes. Owing to the current opioid crisis, public health agencies urge providers to provide rational opioid prescriptions. In addition, a personalised postoperative opioid prescription may benefit racial minorities since research shows that this population receives fewer opioids despite greater pain levels. Our project aimed to reduce inpatient opioid consumption after caesarean delivery within 6 months of the implementation of an opioid stewardship programme.A retrospective analysis of inpatient opioid consumption after caesarean delivery was conducted to determine the baseline, design the opioid stewardship programme and set goals. The plan-do-study-act method was used to implement the programme, and the results were analysed using a controlled interrupted time-series method.After implementing the opioid stewardship programme, we observed an average of 80% reduction (ratio of geometric means 0.2; 95% CI 0.2 to 0.3; p<0.001) in inpatient opioid consumption. The institution designated as control did not experience relevant changes in inpatient opioid prescriptions during the study period. In addition, the hospital where the programme was implemented was unable to reduce the difference in inpatient opioid demand between African Americans and Caucasians.Our project showed that an opioid stewardship programme for patients undergoing caesarean delivery can effectively reduce inpatient opioid use. PDSA, as a quality improvement method, is essential to address the problem, measure the results and adjust the programme to achieve goals.

PMID:38684344 | DOI:10.1136/bmjoq-2023-002265

Int J Epidemiol. 2024 Apr 11;53(3):dyae049. doi: 10.1093/ije/dyae049.

NO ABSTRACT

PMID:38684341 | DOI:10.1093/ije/dyae049

Inj Prev. 2024 Apr 29:ip-2023-045206. doi: 10.1136/ip-2023-045206. Online ahead of print.

ABSTRACT

OBJECTIVES: To examine trends in hospitalisation following drowning in Victoria, Australia, before and after the emergence of the COVID-19 pandemic.

DESIGN: Retrospective analysis of administrative hospital admission records.

SETTING: Hospital admissions recorded in the Victorian Admitted Episodes Dataset.

PARTICIPANTS: Hospital-admitted patients with ≥1 drowning-related International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Australian Modification diagnosis code.

MAIN OUTCOME MEASURES: Incidence and incidence rate ratios (IRR; 95% CIs) of hospital-admitted drowning that occurred before (July 2017 to June 2019), during (July 2019 to June 2021) and after (July 2021 to June 2022) the onset of the COVID-19 pandemic.

RESULTS: There were 736 hospital admissions related to drowning in the study period; the incidence was 2.6 per 100 000 population pre-COVID-19 and dropped to 2.0 per 100 000 during (2019/2020-2020/2021) and after (2021/2022) the onset of the pandemic. Among Victorian residents, drowning was positively associated with younger age, male sex and regional/remote residence. Drowning was negatively associated with the onset of COVID-19 (IRR 0.76 (0.64, 0.90)) as well as the post-COVID-19 period (0.78 (0.64, 0.97)), compared with pre-COVID-19. Natural water drowning rates were consistently higher than pool or bathtub drowning rates. Pool or bathtub drowning rates decreased with the onset of COVID-19; no significant change was observed in the natural water drowning rate.

CONCLUSIONS: Pool and bathtub drowning rates declined since the onset of the COVID-19 pandemic, despite more time spent at home, while natural water drowning rates remained consistently high. Hospital admissions provide a valuable data source for monitoring of drowning, which is crucial to ensure a targeted, evidence-based approach to mitigate drowning risk.

PMID:38684336 | DOI:10.1136/ip-2023-045206

BMJ Paediatr Open. 2024 Apr 29;8(Suppl 2):e002573. doi: 10.1136/bmjpo-2024-002573.

ABSTRACT

BACKGROUND: Exclusive breastfeeding (EBF) is a major public health problem in Ethiopia. However, the spatial variation of EBF and the associated factors have not been studied as much as we have searched. This study aimed at assessing geospatial variation and the predictors of EBF using geographically weighted regression.

METHODS: A cross-sectional study was conducted using the 2019 Mini-Ethiopian Demographic and Health Survey data set. The study used a total weighted sample of 548 infants. Hotspot spatial analysis showed the hotspot and cold spot areas of EBF. The spatial distribution of EBF was interpolated for the target population using spatial interpolation analysis. SaTScan V.9.6 software was used to detect significant clusters. Ordinary least squares regression analysis identified significant spatial predictors. In geographically weighted regression analysis, the effect of predictor variables on the spatial variation of EBF was detected using local coefficients.

RESULTS: The weighted prevalence of EBF in Ethiopia was 58.97% (95% CI 52.67% to 64.99%), and its spatial distribution was found to be clustered (global Moran’s I=0.56, p<0.001). Significant hotspot areas were located in Amhara, Tigray, Southern Nations, Nationalities, and Peoples’ Region, and Somali regions, while significant cold spots were located in Dire Dawa, Addis Ababa and Oromia regions. Kulldorff’s SaTScan V.9.6 was used to detect significant clusters of EBF using a 50% maximum cluster size per population. The geographically weighted regression model explained 35.75% of the spatial variation in EBF. The proportions of households with middle wealth index and married women were significant spatial predictors of EBF.

CONCLUSION: Middle wealth index and married women were significant spatial predictors of EBF. Our detailed map of EBF hotspot areas will help policymakers and health programmers encourage the practice of EBF in hotspot areas and set national and regional programmes focused on improving EBF in cold spots by considering significant predictor variables.

PMID:38684333 | DOI:10.1136/bmjpo-2024-002573

Occup Environ Med. 2024 Apr 29:oemed-2024-109428. doi: 10.1136/oemed-2024-109428. Online ahead of print.

ABSTRACT

OBJECTIVES: Hospital attendance related to fire, flame or smoke exposure is commonly associated with work. The aim of this study was to examine time trends and risk factors for work-related fire/flame/smoke injuries in Victoria, Australia.

METHODS: This study was based on emergency department (ED) presentation records from the Victorian Emergency Minimum Dataset, 2003-2021. Cases were people aged 15-74 years with injury-related ED presentations, if cause of injury was recorded as fire/flame/smoke, based on coded data and/or narratives. Work-related rates were calculated per employed persons; non-work rates were calculated per population. Work-related and non-work-related cases were compared using logistic regression modelling.

RESULTS: There were 11 838 ED presentations related to fire/flame/smoke: 1864 (15.7%) were work-related. Non-work-related rates were 12.3 ED presentations per 100 000 population, and work-related rates were 3.43 per 100 000 employed persons annually. Over the study period, work-related rates decreased annually by 2.0% (p<0.0001), while non-work rates increased by 1.1% (p<0.0001). Work-related cases (vs non-work) were associated with summer (vs winter), but the association with extreme bushfire periods (Victorian ‘Black Saturday’ and ‘Black Summer’) was not statistically significant. Work-related cases were less severe than non-work-related cases, evidenced by triage status and subsequent admission.

CONCLUSIONS: Rates of occupational fire/flame/smoke-related injury presentations decreased over the past two decades in Victoria, while non-work-related rates increased. This could reflect improved safety in the workplace. Hospital data, however, cannot be used to distinguish occupation or industry therefore, employment data linkage studies are recommended to further inform workplace preventive measures.

PMID:38684332 | DOI:10.1136/oemed-2024-109428

Stat Med. 2024 Apr 29. doi: 10.1002/sim.10087. Online ahead of print.

ABSTRACT

Longitudinal clinical trials for which recurrent events endpoints are of interest are commonly subject to missing event data. Primary analyses in such trials are often performed assuming events are missing at random, and sensitivity analyses are necessary to assess robustness of primary analysis conclusions to missing data assumptions. Control-based imputation is an attractive approach in superiority trials for imposing conservative assumptions on how data may be missing not at random. A popular approach to implementing control-based assumptions for recurrent events is multiple imputation (MI), but Rubin’s variance estimator is often biased for the true sampling variability of the point estimator in the control-based setting. We propose distributional imputation (DI) with corresponding wild bootstrap variance estimation procedure for control-based sensitivity analyses of recurrent events. We apply control-based DI to a type I diabetes trial. In the application and simulation studies, DI produced more reasonable standard error estimates than MI with Rubin’s combining rules in control-based sensitivity analyses of recurrent events.

PMID:38684331 | DOI:10.1002/sim.10087

AJNR Am J Neuroradiol. 2024 Apr 29:ajnr.A8322. doi: 10.3174/ajnr.A8322. Online ahead of print.

ABSTRACT

BACKGROUND AND PURPOSE: The Brain Tumor Reporting and Data System (BT-RADS) is a structured radiology reporting algorithm that was introduced to provide uniformity in post-treatment primary brain tumor follow-up and reporting, but its interrater reliability (IRR) assessment has not been widely studied. Our goal is to evaluate the IRR among neuroradiologists and radiology residents in the use of BT-RADS.

MATERIALS AND METHODS: This retrospective study reviewed 103 consecutive MR studies in 98 adult patients previously diagnosed with and treated for primary brain tumor (January 2019 to February 2019). Six readers with varied experience (4 neuroradiologists and 2 radiology residents) independently evaluated each case and assigned a BT-RADS score. Readers were blinded to the original score reports and the reports from other readers. Cases in which at least one neuroradiologist scored differently were subjected to consensus scoring. After the study, a post-hoc reference score was also assigned by 2 readers using future imaging and clinical information previously unavailable to readers. The interrater reliabilities were assessed using Gwet’s AC2 index with ordinal weights and percent agreement.

RESULTS: Of the 98 patients evaluated (median age, 53 years; interquartile range, 41-66 years), 53% were males. The most common tumor type was astrocytoma (77%) of which 56% were grade 4 glioblastoma. Gwet’s index for interrater reliability among all six readers was 0.83 (95% CI: 0.78, 0.87). The Gwet’s index for the neuroradiologists’ group (0.84 [95% CI: 0.79, 0.89]) was not statistically different from that for the residents’ group (0.79 [95% CI: 0.72, 0.86]) (χ² = 0.85; p = 0.36). All four neuroradiologists agreed on the same BT-RADS score in 57 of the 103 studies, three neuroradiologists agreed in 21 of the 103 studies, and two neuroradiologists agreed in 21 of the 103 studies. Percent agreement between neuroradiologist blinded scores and post-hoc reference scores ranged from 41%-52%.

CONCLUSIONS: A very good interrater agreement was found when tumor reports were interpreted by independent blinded readers using BT-RADS criteria. Further study is needed to determine if this high overall agreement can translate into greater consistency in clinical care.

ABBREVIATIONS: BI-RADS = Breast Imaging Reporting and Data System; BT-RADS = Brain Tumor Reporting and Data System; IQR = interquartile range; IRR = interrater reliability; NI-RADS = Neck Imaging Reporting and Data System.

PMID:38684320 | DOI:10.3174/ajnr.A8322

AJNR Am J Neuroradiol. 2024 Apr 29:ajnr.A8320. doi: 10.3174/ajnr.A8320. Online ahead of print.

ABSTRACT

BACKGROUND AND PURPOSE: Ischemic stroke disrupts functional connectivity within the brain’s resting-state networks (RSNs), impacting recovery. This study evaluates the effects of NEH (Norepinephrine and Hydralazine), a cerebral perfusion augmentation therapy, on RSN integrity in a hyper-acute canine stroke model.

MATERIALS AND METHODS: Fifteen adult purpose-bred mongrel canines, divided into treatment and control (natural history) groups, underwent endovascular induction of acute middle cerebral artery occlusion (MCAO). Post-occlusion, the treatment group received intra-arterial Norepinephrine (0.1-1.52 μg/kg/min, adjusted for 25-45 mmHg above baseline mean arterial pressure) and Hydralazine (20mg). Resting-state fMRI data were acquired with a 3.0 T scanner using a BOLD-sensitive EPI sequence (TR/TE=1400 ms/20ms, 2.5 mm slices, 300 temporal positions). Preprocessing included motion correction, spatial smoothing (2.5 mm FWHM), and high-pass filtering (0.01 Hz cutoff). Functional connectivity within RSNs were analyzed through group-level independent component analysis (ICA) and weighted whole-brain ROI-to-ROI connectome, pre-and post-MCAO.

RESULTS: NEH therapy significantly maintained connectivity post-MCAO in the Higher-order Visual and Parietal RSNs, as evidenced by thresholded statistical mapping (TFCE p-corr > 0.95). However, this preservation was network-dependent, with no significant changes in the Primary Visual and Sensorimotor networks.

CONCLUSIONS: NEH demonstrates potential as a proof-of-concept therapy for maintaining RSN functional connectivity following ischemic stroke, emphasizing the therapeutic promise of perfusion augmentation. These insights reinforce the role of functional connectivity as a measurable endpoint for stroke intervention efficacy, suggesting clinical translatability for patients with insufficient collateral circulation.

ABBREVIATIONS: NEH＝ Norepinephrine and Hydralazine; RSN＝ Resting-State Network; ICA = Independent Component Analysis; rsfMRI = resting-state Functional Magnetic Resonance Imaging; MCAO = Middle Cerebral Artery Occlusion; TFCE = Threshold-Free Cluster Enhancement.

PMID:38684318 | DOI:10.3174/ajnr.A8320

BMJ. 2024 Apr 29;385:q971. doi: 10.1136/bmj.q971.

NO ABSTRACT

PMID:38684290 | DOI:10.1136/bmj.q971