Performance Theory Based Formation of Composite Scores: Application to Steadiness/Tremor Measurement

2007 ◽  
Author(s):  
Jonathan Armstrong ◽  
George V. Kondraske ◽  
R. Malcolm Stewart
Keyword(s):  
Performance Theory ◽  
Composite Scores

The Performance Of The National Narcotics Agency In Illegal Drugs Prevention Efforts Of Palu City, Central Sulawesi, Indonesia

2020 ◽  
Vol 2 (1) ◽  
pp. 1-7
Author(s):  
Andi Pasinringi
Keyword(s):  
Data Collection ◽  
Service Quality ◽  
Qualitative Approach ◽  
City Government ◽  
Performance Theory ◽  
Illegal Drugs ◽  
Five Dimensions ◽  
Public Bureaucracy ◽  
Central Sulawesi ◽  
Drug Free

This study aims to determine the performance of Badan Narkotika Nasional or the National Narcotics Agency of Palu in the narcotics prevention efforts, determined by the support of the main tasks and functions of the National Narcotics Agency Office of Palu. The theory used to assess performance is with five dimensions of theory to measure the performance of public bureaucracy which are Productivity, Service Quality, Responsiveness, Responsibility, and Accountability as proposed by Agus Dwiyanto (2002). This research utilized descriptive-qualitative approach. Data collection techniques used are but not limited to: Observation, Interview, and Documentation. Informants in this study are determined purposively. The results of the study revealed that based on the five dimensions of performance theory from Agus Dwiyanto, it can be concluded that the performance of the National Narcotics Agency of Palu is not insufficient. Thus, the vision proclaimed by the Palu City Government which was the Realization of Government and Community Synergy Towards Drug-Free Palu City in 2015, was not achieved

Manual Therapy in Preadolescent Children: A Delphi Investigation of Physical Therapists in the United States

2021 ◽  
Author(s):  
Jenifer L Dice ◽  
Doug Dendy ◽  
Phillip S Sizer ◽  
Chad E Cook ◽  
Sara Feuling ◽  
...  
Keyword(s):  
United States ◽  
Manual Therapy ◽  
Physical Therapists ◽  
Initial Step ◽  
The United States ◽  
Group Differences ◽  
Electronic Survey ◽  
Craniosacral Therapy ◽  
Barriers To Use ◽  
Composite Scores

ABSTRACT Objective Limited research has investigated the use of manual therapy to treat the preadolescent (0–12 years of age) population with musculoskeletal and neurological impairments. The purpose of this study was to identify the following among physical therapists holding advanced credentials in pediatrics, neurodevelopmental treatment, or manual therapy: (1) consensus regarding effective techniques in the preadolescent population, (2) differences in opinion, and (3) perceived decision-making barriers and factors regarding use of manual therapy techniques. Methods Credentialed physical therapists in the United States were recruited for a 3-round Delphi investigation. An electronic survey in Round 1 identified musculoskeletal and neurological impairments and the manual techniques considered effective to treat such conditions, in addition to factors and barriers. Responses were used to create the second round, during which a 4-point Likert scale was used to score each survey item. A third round of scoring established consensus. Descriptive statistics and composite scores were calculated for each manual technique by impairment. Between-group differences were calculated using Mann–Whitney U with Bonferroni correction. Results Consensus was determined for several concepts. First, neuromuscular techniques were considered effective across all impairments, and joint mobilizations (grades I-IV) were believed to be effective to treat joint and muscle and myofascial impairments. Second, visceral manipulation and craniosacral therapy were considered ineffective in treating most impairments. There was lack of consensus and clear differences of opinion regarding the use of grade V mobilizations and dry needling. Significant barriers to use of manual therapy were: lack of knowledge, lack of evidence, and fear of litigation and harming patients. Conclusion This study is an initial step for developing manual therapy guidelines, research, and educational opportunities regarding manual therapy in pediatric physical therapy.

scholarly journals Measuring Non-electoral Political Participation: Bi-factor Model as a Tool to Extract Dimensions

2021 ◽  
Author(s):  
Piotr Koc
Keyword(s):  
Political Participation ◽  
Factor Model ◽  
European Social Survey ◽  
Model Fit ◽  
One Dimension ◽  
Testing Procedures ◽  
Multiple Dimensions ◽  
Cast Doubt ◽  
Factor Modeling ◽  
Composite Scores

AbstractPolitical participation is a mainstay of political behavior research. One of the main dilemmas many researchers face pertains to the number of dimensions of political participation, i.e. whether we should model political participation as a unidimensional or multidimensional latent construct. Over the years, scholars usually have favored the solution with more than one dimension of political participation and they have backed the claim of multiple dimensions with a number of empirical tests. In this paper, I argue that the results from the frequently used testing procedures which rely on the model fit inspection and the Kaiser criterion can be very misleading and may yield in extracting too many dimensions. By employing bi-factor modeling to a European Social Survey dataset, I show that in a majority of countries political participation can be considered an essentially unidimensional latent quantity. I demonstrate that additional dimensions of political participation are very weak and unreliable and that we cannot regress them on external variables nor build composite scores based on them. These findings cast doubt on the conclusions of numerous previous studies where researchers modeled more than one dimension of political participation.

scholarly journals Perception of the health surveillance users on the health electronic surveillance network (HESN), Saudi Arabia, 2016

2021 ◽  
Vol 96 (1) ◽  
Author(s):  
Zayid K. Almayahi ◽  
Fahad Alswaidi ◽  
Abdullah Alzahrani
Keyword(s):  
User Satisfaction ◽  
Cross Sectional Study ◽  
General Level ◽  
Electronic Surveillance ◽  
Surveillance Network ◽  
Design Data ◽  
Cross Sectional ◽  
Level Of Satisfaction ◽  
Composite Scores ◽  
And Control

Abstract Background The established aim of the Saudi Health Electronic Surveillance Network (HESN) is to support the prevention and control of different health events, and to facilitate the delivery of other public health programs. This study aims to evaluate the perceptions of active HESN users regarding its general performance through five major components: practicability, design, data and communication, technical support, and general impression. Methods A cross-sectional study was conducted in 2016 using a sample of active HESN users. Out of 1535 active users, 700 were randomly selected. A predesigned electronic questionnaire was sent to each participant via email which was completed by 485 participants. Different composite scores were calculated and compared to the sociodemographic and other technical variables. Results The mean age of the participants was 36.92 ± 9.12 (24–65 years), and 57.8% of the sample were male. Riyadh and the KSA’s eastern province represented the highest two regions of participation, at (18.4%) and (14.2%) participants, respectively. About 70.8% were generally satisfied with HESN, while 86.6%% believed that it is better than the traditional paper-work system. Participants who used to work more frequently expressed more level of satisfaction compared to those with minimal use per week or month (P ≤ 0.001). Internet speed displayed a significant association with the general level of satisfaction with HESN (P < 0.001). Additionally, users who accessed HESN with the Google Chrome browser displayed higher levels of satisfaction when compared to users who relied on other browsers (P = 0.003). Conclusion Presently, the level of user satisfaction with HESN is reasonable. However, to achieve optimal outcomes for HESN usage, improvements should be considered.

scholarly journals A revealed preference analysis to develop composite scores approximating lung allocation policy in the U.S

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Darren E. Stewart ◽  
Dallas W. Wood ◽  
James B. Alcorn ◽  
Erika D. Lease ◽  
Michael Hayes ◽  
...  
Keyword(s):  
Revealed Preference ◽  
Blood Type ◽  
Relative Importance ◽  
Current Policy ◽  
Allocation Policy ◽  
Preference Analysis ◽  
Transplant Center ◽  
Current Classification ◽  
Composite Scores ◽  
Revealed Preference Analysis

Abstract Background The patient ranking process for donor lung allocation in the United States is carried out by a classification-based, computerized algorithm, known as the match system. Experts have suggested that a continuous, points-based allocation framework would better serve waiting list candidates by removing hard boundaries and increasing transparency into the relative importance of factors used to prioritize candidates. We applied discrete choice modeling to match run data to determine the feasibility of approximating current lung allocation policy by one or more composite scores. Our study aimed to demystify the points-based approach to organ allocation policy; quantify the relative importance of factors used in current policy; and provide a viable policy option that adapts the current, classification-based system to the continuous allocation framework. Methods Rank ordered logistic regression models were estimated using 6466 match runs for 5913 adult donors and 534 match runs for 488 pediatric donors from 2018. Four primary attributes are used to rank candidates and were included in the models: (1) medical priority, (2) candidate age, (3) candidate’s transplant center proximity to the donor hospital, and (4) blood type compatibility with the donor. Results Two composite scores were developed, one for adult and one for pediatric donor allocation. Candidate rankings based on the composite scores were highly correlated with current policy rankings (Kendall’s Tau ~ 0.80, Spearman correlation > 90%), indicating both scores strongly reflect current policy. In both models, candidates are ranked higher if they have higher medical priority, are registered at a transplant center closer to the donor hospital, or have an identical blood type to the donor. Proximity was the most important attribute. Under a points-based scoring system, candidates in further away zones are sometimes ranked higher than more proximal candidates compared to current policy. Conclusions Revealed preference analysis of lung allocation match runs produced composite scores that capture the essence of current policy while removing rigid boundaries of the current classification-based system. A carefully crafted, continuous version of lung allocation policy has the potential to make better use of the limited supply of donor lungs in a manner consistent with the priorities of the transplant community.

scholarly journals Cognitive dispersion and ApoEe4 genotype predict dementia diagnosis in 8-year follow-up of the oldest-old

2020 ◽  
Author(s):  
Tam Watermeyer ◽  
Jantje Goerdten ◽  
Boo Johansson ◽  
Graciela Muniz-Terrera
Keyword(s):  
Cognitive Performance ◽  
Cox Regression ◽  
Oldest Old ◽  
Cost Effective ◽  
Carrier Status ◽  
Dementia Diagnosis ◽  
Cognitive Domains ◽  
Dementia Incidence ◽  
Composite Scores

Abstract Background Cognitive dispersion, or inconsistencies in performance across cognitive domains, has been posited as a cost-effective tool to predict conversion to dementia in older adults. However, there is a dearth of studies exploring cognitive dispersion in the oldest-old (&gt;80 years) and its relationship to dementia incidence. Objective The main aim of this study was to examine whether higher cognitive dispersion at baseline was associated with dementia incidence within an 8-year follow-up of very old adults, while controlling for established risk factors and suggested protective factors for dementia. Methods Participants (n = 468) were from the Origins of Variance in the Old-Old: Octogenarian Twins study, based on the Swedish Twin Registry. Cox regression analyses were performed to assess the association between baseline cognitive dispersion scores and dementia incidence, while controlling for sociodemographic variables, ApoEe4 carrier status, co-morbidities, zygosity and lifestyle engagement scores. An additional model included a composite of average cognitive performance. Results Cognitive dispersion and ApoEe4 were significantly associated with dementia diagnosis. These variables remained statistically significant when global cognitive performance was entered into the model. Likelihood ratio tests revealed that cognitive dispersion and cognitive composite scores entered together in the same model was superior to either predictor alone in the full model. Conclusions The study underscores the usefulness of cognitive dispersion metrics for dementia prediction in the oldest-old and highlights the influence of ApoEe4 on cognition in very late age. Our findings concur with others suggesting that health and lifestyle factors pose little impact upon cognition in very advanced age.

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