Bridging the gap from welfare to education: Propensity score matching evaluation of a bridging intervention.
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ABSTRACT:
SUBMITTER: Rosholm M
PROVIDER: S-EPMC6494054 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature
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Project description:Cluster randomization trials with relatively few clusters have been widely used in recent years for evaluation of health-care strategies. On average, randomized treatment assignment achieves balance in both known and unknown confounding factors between treatment groups, however, in practice investigators can only introduce a small amount of stratification and cannot balance on all the important variables simultaneously. The limitation arises especially when there are many confounding variables in small studies. Such is the case in the INSTINCT trial designed to investigate the effectiveness of an education program in enhancing the tPA use in stroke patients. In this article, we introduce a new randomization design, the balance match weighted (BMW) design, which applies the optimal matching with constraints technique to a prospective randomized design and aims to minimize the mean squared error (MSE) of the treatment effect estimator. A simulation study shows that, under various confounding scenarios, the BMW design can yield substantial reductions in the MSE for the treatment effect estimator compared to a completely randomized or matched-pair design. The BMW design is also compared with a model-based approach adjusting for the estimated propensity score and Robins-Mark-Newey E-estimation procedure in terms of efficiency and robustness of the treatment effect estimator. These investigations suggest that the BMW design is more robust and usually, although not always, more efficient than either of the approaches. The design is also seen to be robust against heterogeneous error. We illustrate these methods in proposing a design for the INSTINCT trial.
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Project description:The propensity score is defined as the probability of each individual study subject being assigned to a group of interest for comparison purposes. Propensity score adjustment is a method of ensuring an even distribution of confounders between groups, thereby increasing between group comparability. Propensity score analysis is therefore an increasingly applied statistical method in observational studies. The purpose of this article was to provide a step-by-step nonmathematical conceptual guide to propensity score analysis with particular emphasis on propensity score matching. A software program code used for propensity score matching was also presented.
| S-EPMC4347264 | biostudies-literature
Project description:Recent work has demonstrated that propensity score matching may lead to increased covariate imbalance, even with the corresponding decrease in propensity score distance between matched units. The extent to which this paradoxical phenomenon might harm causal inference in real epidemiologic studies has not been explored. We evaluated the effect of this phenomenon using insurance claims data from the Pharmaceutical Assistance Contract for the Elderly (1999-2002) and Medicaid Analytic eXtract (2000-2007) databases in the United States. For each data set, we created several 1:1 propensity-score-matched data sets by manipulating the size of the covariate set used to generate propensity scores, the index exposure prevalence in the prematched data set, and the matching algorithm. We matched all index units, then progressively pruned matched sets in order of decreasing propensity score distance, calculating covariate imbalance after each pruning. Although covariate imbalance sometimes increased after progressive pruning of matched sets, the application of commonly used propensity score calipers for defining an acceptable match stopped pruning near the lowest region of the imbalance trend and resulted in an improvement over the imbalance in the prematched data set. Thus, propensity score matching does not appear to induce increased covariate imbalance when standard propensity score calipers are applied in these types of pharmacoepidemiologic studies.
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Project description:ObjectiveAlthough acupuncture is widely used as a complementary therapy in the treatment of Bell's palsy (BP) when to initiate acupuncture is still controversial. This study aims to determine the efficacy of the early intervention by acupuncture on BP.MethodsWe retrospectively gathered clinical data from the Third Affiliated Hospital of SUN-YAT SEN University between 2016 and 2021. We selected newly diagnosed patients with BP who were diagnosed by registered neurologists or acupuncturists formally. The qualified patients were divided into two groups according to whether or not initial acupuncture treatment was given within 7 days from the onset of palsy. Cohorts were balanced using 1:1 propensity score matching (PSM). Cox proportional hazards modeling and Kaplan-Meier analysis were applied to determine the differences between the two groups. The outcome included time to complete recovery of facial function, the rate of complete recovery, and the occurrence of sequelae in 24 weeks.ResultsA total of 345 patients were eligible for this study and were divided into the manual acupuncture/electroacupuncture (MA/EA) group (n = 76) and the EA group (n = 125). In the propensity score-matched cohort, the time to complete recovery was significantly shorter in the MA/EA group compared with the patients in the EA group (hazard ratio 1.505, 95% CI 1.028-2.404, p <0.05). The MA/EA group had a higher rate of favorable outcomes at 12 weeks than the EA group (93.4 vs. 80.3%, p = 0.032), and the occurrence of sequelae at 24 weeks showed a greater reducing trend in the MA/EA group than the EA group (6.6 vs. 16.4%, p = 0.088).ConclusionAcupuncture intervention at the acute stage of BP could shorten the time to recovery and improve the outcome.Clinical trial registrationhttp://www.chictr.org.cn, identifier ChiCTR 2200058060.
| S-EPMC9517937 | biostudies-literature
Project description:Traditional teaching methods in radiology education have not kept pace with advances in technology that foster successful transition into independent practice. This deficit has been exacerbated by the COVID-19 pandemic, as the need for social distancing and the introduction of hybrid staffing models have decreased the critical educational interactions at the reading room workstations between staff and trainees. By leveraging interactive, case-based learning, educators have the opportunity to bridge the substantial gap between basic pattern recognition and successfully making a diagnosis in independent practice. For the educator, this signals a shift away from perfect case selection and presenter authority, and toward the role of a guide facilitating an active case-based learning experience. This form of learning is best accompanied by guided interpretation and iterative feedback with the goal of developing similar levels of mastery and autonomy among graduating trainees. In this article, we present the tools and methods for incorporating interactive cases into existing and novel teaching materials to meet the unique challenges educators are facing today.
| S-EPMC8175917 | biostudies-literature
Project description:PurposeThe purpose of this study was to evaluate the effectiveness of either hydroxychloroquine, triple combination therapy (TCT), favipiravir, dexamethasone, remdesivir, or COVID-19 convalescent plasma (CCP) in comparison with standard-of-care for hospitalized patients with COVID-19 using real-world data from Saudi Arabia.Patients and methodsA secondary database analysis was conducted using the Saudi Ministry of Health database for patients with COVID-19. Adult (≥18 years) hospitalized patients with COVID-19 between March 2020 and January 2021 were included in the analysis. A propensity score matching technique was used to establish comparable groups for each therapeutic approach. Lastly, an independent t-test and chi-square test were used to compare the matching groups in the aspects of the duration of hospitalization, length of stay (LOS) in intensive care units (ICU), in-hospital mortality, and composite poor outcome. Multilevel logistic regression model was used to assess the association between the severity stage of COVID-19 and the outcomes while using the medication or intervention used as a grouping variable in the model.ResultsThe mean duration of hospitalization was significantly longer for patients who received TCT, favipiravir, dexamethasone, or CCP compared to patients who did not receive these therapies, with a mean difference ranging between 2.2 and 4.9 days for dexamethasone and CCP, respectively. Furthermore, the use of favipiravir or CCP was associated with a longer stay in ICU. Remdesivir was the only agent associated with in-hospital mortality benefit. A higher risk of mortality and poorer composite outcome were associated with the use of favipiravir or dexamethasone. However, the logistic regression model reveled that the difference between the two matched cohorts was due to the severity stage not the medication. Additionally, the use of hydroxychloroquine, TCT, or CCP had no impact on the incidence of in-hospital mortality or composite poor outcomes.ConclusionRemdesivir was the only agent associated with in-hospital mortality benefit. The observed worsened treatment outcomes associated with the use of dexamethasone or FPV shall be attributed to the severity stage rather than the medication use. In light of these varied results, additional studies are needed to continue evaluating the actual benefits of these therapies.
| S-EPMC9930407 | biostudies-literature
Project description:Many studies have found a statistical association between breastfeeding and childhood adiposity. This paper investigates whether breastfeeding has an effect on subsequent childhood body mass index (BMI) using propensity scores to account for confounding.We use data from the Millennium Cohort Study, a nationally representative UK cohort survey, which contains detailed information on infant feeding and childhood BMI. Propensity score matching is used to investigate the mean BMI in children breastfed exclusively and partially for different durations of time.We find statistically significant influences of breastfeeding on childhood BMI, particularly in older children, when breastfeeding is prolonged and exclusive. At 7 years, children who were exclusively breastfed for 16 weeks had a BMI 0.28 kg/m2 (95% confidence interval 0.07 to 0.49) lower than those who were never breastfed, a 2% reduction from the mean BMI of 16.6 kg/m2.For this young cohort, even small effects of breastfeeding on BMI could be important. In order to reduce BMI, breastfeeding should be encouraged as part of wider lifestyle intervention. This evidence could help to inform public health bodies when creating public health guidelines and recommendations.
| S-EPMC5939873 | biostudies-other
Project description:BACKGROUND:The theory-practice gap is one of the important challenges of treatment, health, and educational systems. It is affected by different factors like students, teachers, and the clinical environment. This gap has consequences for education, as well as the treatment and health services systems. Thus, it is necessary to find effective strategies to reduce it. Therefore, the present study was conducted with the aim to find strategies to reduce the theory-practice gap in emergency nursing education in the view of stakeholders. METHODS:A qualitative research was conducted, including 18 semi-structured interviews and 3 focus group sessions with the stakeholders in a school of nursing and an educational hospital. Content analysis method was used to analyze the collected data. RESULTS:The strategies to reduce the theory-practice gap in emergency nursing education were divided into 6 primary categories, 2 main categories and 1 theme of action to change. From among the 69 strategies presented to the focus groups, the participants acknowledged 28 strategies as practical and effective. Furthermore, the participants held that it was necessary to have reformative and developmental actions in line with care, supervision, evaluation, and educational processes in order to reduce the gap between theory and practice in emergency nursing education. CONCLUSION:The theory-practice gap is affected by many different factors. Thus, the people involved must pay attention to every influential factor in order to reduce the consequences, and use effective cooperative strategies by taking into consideration the human resources, infrastructures, processes, and the administrative culture in faculty and clinical environments.
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Project description:BackgroundThe diagnostic process is a key element of medicine but it is complex and prone to errors. Infectious diseases are one of the three categories of diseases in which diagnostic errors can be most harmful to patients. In this study we aimed to estimate the effect of initial misdiagnosis of the source of infection in patients with bacteraemia on 14 day mortality using propensity score methods to adjust for confounding.MethodsData from a previously described longitudinal cohort of patients diagnosed with monobacterial bloodstream infection (BSI) at the Leiden University Medical Centre (LUMC) between 2013 and 2015 were used. Propensity score matching and inversed probability of treatment weighting (IPTW) were applied to correct for confounding. The average treatment effect on the treated (ATT), which in this study was the average effect of initial misdiagnosis on the misdiagnosed (AEMM), was estimated. Methodological issues that were encountered when applying propensity score methods were addressed by performing additional sensitivity analyses. Sensitivity analyses consisted of varying caliper in propensity score matching and using different truncated weights in inversed probability of treatment weighting.ResultsData of 887 patients were included in the study. Propensity scores ranged between 0.015 and 0.999 and 80 patients (9.9%) had a propensity score > 0.95. In the matched analyses, 35 of the 171 misdiagnosed patients died within 14 days (20.5%), versus 10 of the 171 correctly diagnosed patients (5.8%), yielding a difference of 14.6% (7.6%; 21.6%). In the total group of patients, the observed percentage of patients with an incorrect initial diagnosis that died within 14 days was 19.8% while propensity score reweighting estimated that their probability of dying would have been 6.5%, if they had been correctly diagnosed (difference 13.3% (95% CI 6.9%;19.6%)). After adjustment for all variables that showed disbalance in the propensity score a difference of 13.7% (7.4%; 19.9%) was estimated. Sensitivity analyses yielded similar results. However, performing weighted analyses without truncation yielded unstable results.ConclusionThus, we observed a substantial increase of 14 day mortality in initially misdiagnosed patients. Furthermore, several patients received propensity scores extremely close to one and were almost sure to be initially misdiagnosed.
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Project description:BACKGROUND:Randomized controlled trials are the gold-standard for clinical trials. However, randomization is not always feasible. In this article we propose a prospective and adaptive matched case-control trial design assuming that a control group already exists. METHODS:We propose and discuss an interim analysis step to estimate the matching rate using a resampling step followed by a sample size recalculation. The sample size recalculation is based on the observed mean resampling matching rate. We applied our approach in a simulation study and to a real data set to evaluate the characteristics of the proposed design and to compare the results to a naive approach. RESULTS:The proposed design achieves at least 10% higher matching rate than the naive approach at final analysis, thus providing a better estimation of the true matching rate. A good choice for the interim analysis seems to be a fraction of around [Formula: see text] to [Formula: see text] of the control patients. CONCLUSION:The proposed resampling step in a prospective matched case-control trial design leads to an improved estimate of the final matching rate and, thus, to a gain in power of the approach due to sensible sample size recalculation.
| S-EPMC6636117 | biostudies-literature