Two-Phase Study to Assess the Number of Cases Based on Claims Databases: Characteristics of the Validation Data Set

2002 ◽  
Vol 41 (04) ◽  
pp. 349-356 ◽  
Author(s):  
M. Rabilloud ◽  
C. Colin ◽  
R. Ecochard ◽  
C. M. Couris

Summary Objective: In a two-phase study design, the characteristics of an external data set were studied for precision and bias of the number of incident or prevalent cases of a disease obtained from claims databases. Methods: In the study population (first phase), incident or prevalent cases were counted whereas external data (second phase) provided sensitivity and specificity estimates to count cases in a claims database. Influence of potential differences in sensitivity and specificity between the two phases were evaluated. This was illustrated for 50-90% sensitivity and 99-99.99% specificity ranges. Results and Conclusions: The impact of differences in sensitivity and specificity depends on the odds of disease in the study population. We provide advice on the choice of adequate data sets to correct claims database estimates.

2020 ◽  
Vol 11 ◽  
pp. 215013272098154
Author(s):  
Inbar Levkovich

In a longitudinal study we examined the impact of age on negative emotional reactions, compliance with health guidelines and knowledge about the virus during the COVID-19 epidemic. A total of 2509 people participated in a two-phase study: 1424 participants in the first phase (March 12-21) and 1085 participants in the second phase (April 23 to May 5). Age was categorized into 4 groups: age 18 to 30, age 31 to 40, age 41 to 50, and age 51 and over. In the first and second phase, compliance with health guidelines was highest among participants over the age of 50. Knowledge was significantly higher in the second phase than in the first among participants over age 50 and those between the ages of 40 and 50. In the second phase, knowledge did not differ by age group. Negative emotional reactions were significantly higher in the first phase than in the second. Moreover, negative emotional reactions were higher among participants up to age 30 than among all other participants. Perceived susceptibility did not differ by phase or by age group. The paper underscores the impact of age during the COVID-19 epidemic and points to the necessity of taking the needs of different age groups into consideration.


Author(s):  
Tamas Szili-Torok ◽  
Jens Rump ◽  
Torsten Luther ◽  
Sing-Chien Yap

Abstract Better understanding of the lead curvature, movement and their spatial distribution may be beneficial in developing lead testing methods, guiding implantations and improving life expectancy of implanted leads. Objective The aim of this two-phase study was to develop and test a novel biplane cine-fluoroscopy-based method to evaluate input parameters for bending stress in leads based on their in vivo 3D motion using precisely determined spatial distributions of lead curvatures. Potential tensile, compressive or torque forces were not subjects of this study. Methods A method to measure lead curvature and curvature evolution was initially tested in a phantom study. In the second phase using this model 51 patients with implanted ICD leads were included. A biplane cine-fluoroscopy recording of the intracardiac region of the lead was performed. The lead centerline and its motion were reconstructed in 3D and used to define lead curvature and curvature changes. The maximum absolute curvature Cmax during a cardiac cycle, the maximum curvature amplitude Camp and the maximum curvature Cmax@amp at the location of Camp were calculated. These parameters can be used to characterize fatigue stress in a lead under cyclical bending. Results The medians of Camp and Cmax@amp were 0.18 cm−1 and 0.42 cm−1, respectively. The median location of Cmax was in the atrium whereas the median location of Camp occurred close to where the transit through the tricuspid valve can be assumed. Increased curvatures were found for higher slack grades. Conclusion Our results suggest that reconstruction of 3D ICD lead motion is feasible using biplane cine-fluoroscopy. Lead curvatures can be computed with high accuracy and the results can be implemented to improve lead design and testing.


2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Akinjola O ◽  
◽  
Lawal RA ◽  
Ojo AM ◽  
Adeosun II ◽  
...  

Schizophrenia is a devastating and highly disabling disorder associated with long-term consequences. Treatment is often made difficult by the presence of comorbidities like depression which when considered in management ensures good outcome. This study aimed to determine the prevalence and correlates of depression in schizophrenia. It is a two-phase study involving 320 outpatients recruited by consecutive sampling. The first phase entails confirming diagnosis with Mini International Neuropsychiatric Interview (MINI), psychotic disorder module, assessing socio-demographic characteristic and screening for depressive symptoms with the Beck Depression Inventory (BDI) by a trained assistant. In the second phase, the researcher then assesses for depressive disorder using MINI, depressive disorder module among subjects who screened positive with BDI together with 10% of those who screened negative. Over four-fifth (83.4%) of the participants were less than 50 years, they were mostly females (57.2%), of Yoruba ethnic group (59.7%), Christians (75.6%), and earn below ₦18,000 monthly or nothing (72.2%). Also, a large proportion (86.2%) had good social support. Over a third of the participants were married (38.1%) with about four-fifth of these living with their spouses. The prevalence of depressive symptoms and depressive disorder were 49.7% and 38.4% respectively. Logistic regression revealed that poor social support predicts depressive in Schizophrenia. In conclusion, Depression is common in patients with schizophrenia. Therefore, thorough evaluation of schizophrenic patients is necessary so that, co-morbid depression when present can be detected and considered in management to ensure good treatment outcome.


2016 ◽  
Vol 48 (3-4) ◽  
pp. 100-109 ◽  
Author(s):  
Sarah Benbow ◽  
Carolyne Gorlick ◽  
Cheryl Forchuk ◽  
Catherine Ward-Griffin ◽  
Helene Berman

This article overviews the second phase of a two-phase study which examined experiences of health and social exclusion among mothers experiencing homelessness in Ontario, Canada. A critical discourse analysis was employed to analyze the policy document, Realizing Our Potential: Ontario’s Poverty Reduction Strategy, 2014–2019. In nursing, analysis of policy is an emerging form of scholarship, one that draws attention to the macro levels influencing health and health promotion, such as the social determinants of health, and the policies that impact them. The clear neo-liberal underpinnings, within the strategy, with a focus on productivity and labor market participation leave little room for an understanding of poverty reduction from a human rights perspective. Further, gender-neutrality rendered the poverty experienced by women, and mothers, invisible. Notably, there were a lack of deadlines, target dates, and thorough action and evaluation plans. Such absence troubles whether poverty reduction is truly a priority for the government, and society as a whole.


Biostatistics ◽  
2016 ◽  
Vol 17 (3) ◽  
pp. 499-522 ◽  
Author(s):  
Ying Huang

Abstract Two-phase sampling design, where biomarkers are subsampled from a phase-one cohort sample representative of the target population, has become the gold standard in biomarker evaluation. Many two-phase case–control studies involve biased sampling of cases and/or controls in the second phase. For example, controls are often frequency-matched to cases with respect to other covariates. Ignoring biased sampling of cases and/or controls can lead to biased inference regarding biomarkers' classification accuracy. Considering the problems of estimating and comparing the area under the receiver operating characteristics curve (AUC) for a binary disease outcome, the impact of biased sampling of cases and/or controls on inference and the strategy to efficiently account for the sampling scheme have not been well studied. In this project, we investigate the inverse-probability-weighted method to adjust for biased sampling in estimating and comparing AUC. Asymptotic properties of the estimator and its inference procedure are developed for both Bernoulli sampling and finite-population stratified sampling. In simulation studies, the weighted estimators provide valid inference for estimation and hypothesis testing, while the standard empirical estimators can generate invalid inference. We demonstrate the use of the analytical variance formula for optimizing sampling schemes in biomarker study design and the application of the proposed AUC estimators to examples in HIV vaccine research and prostate cancer research.


1996 ◽  
Vol 30 (5) ◽  
pp. 660-666 ◽  
Author(s):  
Sadie Robertson ◽  
Gordon Parker ◽  
Simon Byrne ◽  
Murray Wright

Objective: To describe a two-phase study of the structure of Australasian psychiatrist peer review groups. Method (Phase one): Initially, information was sought from chairskoordinators of psychiatrist peer review groups regarding the nature and organisation of their group. Results (Phase one): One hundred and three questionnaires were returned describing a number of models of peer review. Three principal models were identified: a teaching hospital model, a private practice model, and a private institution model. Method (Phase two): The second-phase questionnaire sought information on the quality of the review, using six proposed standards developed by the Quality Assurance Committee of the Royal Australian and New Zealand College of Psychiatrists. Results (Phase two): Many groups indicated that four of the proposed standards (those relating to documentation, having clear goals, reviewing actual clinical cases, and rigorous protection of confidentiality) were either already being followed or would be relatively easy to implement. The remaining two proposed standards (including structure, process and outcome dimensions of health care in the case discussion, and the use of explicit criteria) presented more difficulty. Conclusion: The application of such standards to peer review group meetings should assist groups to provide a forum for presentation and evaluation of clinical work where participants know they will be challenged in an environment which is both supportive and educational.


2012 ◽  
Vol 1 (1) ◽  
pp. 25-35
Author(s):  
Daphne Rixon

The purpose of this case study is to first examine the implications of accountability legislation on the financial and performance reporting of a public sector agency in the Canadian province of Newfoundland and Labrador and secondly, to compare the level of accountability with Stewart’s (1984) ladder of accountability. This paper is based on the first phase of a two-phase study. The first phase focuses on the initial impacts of accountability legislation on agencies and the challenges created by the legislation’s ‘one size fits all’ approach. The second phase of this study will examine the impact of the legislation on stakeholders after it has been in operation for five years. The second phase will include interviews with stakeholders to ascertain the level of satisfaction with the new legislation. The first phase of the study is significant since it highlights how governments could consider stakeholder needs when drafting such legislation. This research contributes to the body of literature on stakeholder accountability since there is a paucity of research focused specifically on the impact of accountability legislation on public sector agencies. An important contribution of this paper is the introduction of a framework for legislated accountability reporting. The main theoretical frameworks used to analyse the findings are Stewart’s (1984) ladder of accountability in conjunction with Friedman and Miles (2006) ladder of stakeholder management and engagement.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4689-4689
Author(s):  
Sriman Swarup ◽  
Somedeb Ball ◽  
Nimesh Adhikari ◽  
Anita Sultan ◽  
Khatrina Swarup ◽  
...  

Introduction: Heparin induced thrombocytopenia (HIT) is a severe prothrombotic condition, usually triggered by exposure to heparin products. It is characterized by platelet activation induced by the formation of antibodies to the platelet factor 4 (PF4)/ heparin polyanion complexes. Diagnostic algorithm includes clinical scoring (4T score) alongside serological test for detection of these antibodies (HIT-Ab), while serotonin release assay (SRA) remains the gold- standard for confirmation. The automated latex immunoturbidometric assay (LIA) has recently been FDA approved as a screening tool for HIT and is a potential alternative to the conventional particle immunofiltration assay (PIFA) for time-sensitive detection of HIT-Ab to guide treatment considerations. We recently introduced LIA in our institution. In this study, we present our experience with LIA in comparison to PIFA in the diagnosis of HIT. Methods: We retrospectively reviewed the charts of all the patients on whom a PIFA was ordered between March 2017 and March 2018 in our hospital. We collected information on the results of the PIFA and SRA (if available). We replaced PIFA with LIA for HIT screening. Then, we introduced a structured protocol for diagnosis of HIT in our institution by incorporating 4T scoring alongside LIA order in the electronic medical record (EMR), in December 2018. We reviewed the EMR of all the patients on whom HIT-Ab test (LIA) was ordered between January and June of 2019, and collected similar information as before. All the data were compiled in a single master excel sheet for calculation of performance characteristics (sensitivity, specificity, positive and negative predictive values) for both PIFA and LIA. A patient was considered to have the diagnosis of HIT if the result of SRA was available and positive. Results: In the first phase, a total of 31 orders for SRA was noted against 170 PIFA orders. Five patients had a positive SRA, of whom two were PIFA negative. Half the patients with a negative SRA result were positive for PIFA. Hence, the sensitivity and specificity of PIFA test for our study population were noted to be 60% and 50%, respectively. PIFA had a positive predictive value (PPV) of mere 18.75% for the diagnosis of HIT, whereas the negative predictive value (NPV) was found to be 86.66%. Introduction of structured protocol for HIT diagnosis substantially reduced the number of inappropriate SRA orders in the second phase. On review of data for six months with the new HIT-Ab test LIA, SRA was ordered in only eight patients, to go with 69 orders for the LIA. The result of LIA was positive in all three patients with a positive SRA, whereas it was false positive in four instances. Only one patient was negative for both LIA and SRA during this period. LIA was found to be 100% sensitive and 20% specific for the diagnosis of HIT in our sample. PPV and NPV for LIA were 42.85% and 100%, respectively. Conclusion: The sensitivity and specificity of LIA were found to be 100% and 20%, respectively, in our study population, which is different from the earlier report (Warkentin et al. 2017). The small sample size is a limitation of our study. Higher PPV and NPV for LIA, with its quick turnaround time, make it a useful alternative for the time-sensitive determination of post-test probability for HIT in patients. [HIT- Ab- Heparin Induced Thrombocytopenia Antibody, PIFA- Particle Immunofiltration Assay, LIA- Latex Immunoturbidometric Assay, SRA- Serotonin Release Assay, +ve- Positive, -ve - Negative, PPV- Positive Predictive Value, NPV- Negative Predictive Value] Disclosures No relevant conflicts of interest to declare.


2021 ◽  
Vol 4 ◽  
Author(s):  
Basel Alhaji ◽  
Michael Prilla ◽  
Andreas Rausch

Trust is the foundation of successful human collaboration. This has also been found to be true for human-robot collaboration, where trust has also influence on over- and under-reliance issues. Correspondingly, the study of trust in robots is usually concerned with the detection of the current level of the human collaborator trust, aiming at keeping it within certain limits to avoid undesired consequences, which is known as trust calibration. However, while there is intensive research on human-robot trust, there is a lack of knowledge about the factors that affect it in synchronous and co-located teamwork. Particularly, there is hardly any knowledge about how these factors impact the dynamics of trust during the collaboration. These factors along with trust evolvement characteristics are prerequisites for a computational model that allows robots to adapt their behavior dynamically based on the current human trust level, which in turn is needed to enable a dynamic and spontaneous cooperation. To address this, we conducted a two-phase lab experiment in a mixed-reality environment, in which thirty-two participants collaborated with a virtual CoBot on disassembling traction batteries in a recycling context. In the first phase, we explored the (dynamics of) relevant trust factors during physical human-robot collaboration. In the second phase, we investigated the impact of robot’s reliability and feedback on human trust in robots. Results manifest stronger trust dynamics while dissipating than while accumulating and highlight different relevant factors as more interactions occur. Besides, the factors that show relevance as trust accumulates differ from those appear as trust dissipates. We detected four factors while trust accumulates (perceived reliability, perceived dependability, perceived predictability, and faith) which do not appear while it dissipates. This points to an interesting conclusion that depending on the stage of the collaboration and the direction of trust evolvement, different factors might shape trust. Further, the robot’s feedback accuracy has a conditional effect on trust depending on the robot’s reliability level. It preserves human trust when a failure is expected but does not affect it when the robot works reliably. This provides a hint to designers on when assurances are necessary and when they are redundant.


2021 ◽  
Author(s):  
◽  
Lin Yang

<p>Word-of-mouth (WOM) is perceived by consumers as a highly credible source of information, and online channels for WOM have become increasingly popular among consumers. Although the impact of online word-of-mouth (OWOM) on consumers‘ purchase decisions has been researched, it remains unclear why information about products, brands or organisations is generated online and what influences its initiation from the sender‘s perspective. This research explores the antecedents of customer OWOM and examines the relationships between key antecedent variables and customer OWOM engagement in a Chinese context.  A conceptual model was developed based on the literature and information obtained through one-to-one in-depth interviews. Customer perceived value, satisfaction, loyalty and affective commitment were incorporated as key antecedent constructs of customer OWOM.  The research used a two-phase research design. The first phase was a qualitative exploration of the customer‘s OWOM experience. These findings were used to gain an understanding of customers‘ OWOM initiation, provide confirmation of the model, and refine the measurement thereof. The second phase used a quantitative online survey to validate the measurement instruments and test the model. The data for the study were collected from OWOM initiators in China over a period of one and a half months. A sample of 574 respondents was obtained. Hypotheses were tested using structural equation modelling and multiple regression analysis.  Findings from the research suggest that an emphasis on creating an affective bond with the brand and organisation is the key to customers‘ engagement of WOM on the Internet. The study also indicates that customer perceived QEP (quality, emotional and price) value is a less immediate but critical antecedent. In addition, the customer perceived social value of a product or service is found to significantly impact OWOM. In China, where the collectivist view predominates, customers conform to social standards and withhold negative comments in their OWOM activities in order to maintain social acceptance and inclusion, and to make favourable impressions. They also engage in OWOM to gain and enhance face, which is a social need in China‘s status driven society.  This research contributes to a growing body of research on customers‘ OWOM behaviour by developing and empirically testing the customer OWOM model. It provides a more holistic view of post-purchase OWOM by simultaneously investigating a set of key antecedents for OWOM in a single framework. The research also widens the geographic and culture scope of OWOM research by undertaking the study in China. By using a mixed method, incorporating both qualitative and quantitative approaches, the research offers a balance among objectivity, detailed description and the predictability of the study. Furthermore, the research provides marketing practitioners with a better understanding of the behaviour of Chinese OWOM initiators, and offers directions to improve their marketing communication strategies.</p>


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