Dynamic Effects of Quality Improvement on Mobile Phone Manufacturing System

2012 ◽  
Vol 252 ◽  
pp. 426-432
Author(s):  
Zheng Fang ◽  
Yang Yang ◽  
Fu Min Deng
Keyword(s):  
Time Series ◽  
Quality Improvement ◽  
Customer Satisfaction ◽  
Mobile Phone ◽  
Manufacturing System ◽  
Multivariate Time Series ◽  
Impact Point ◽  
Dynamic Effects ◽  
Dynamic Impacts ◽  
Over Time

Based on a real-world dataset, we developed multivariate time-series model to compare dynamic impacts of quality improvement, apology, compensation and communication on customer satisfaction, after a serious quality failure of mobile phone manufacturing system. The empirical results innovatively reveals that apology-based recovery efforts are the least effective in salvaging customer satisfaction of manufacturing system, with the shortest decay and lowest buildup intensity. In contrast, quality improvement is the most effective, with the highest buildup and longest decay but slowest buildup toward the peak impact point. Compensation has a moderate and stable impact over time. Communications’ impact on customer satisfaction of manufacturing system builds up the quickest, though with mild endurance and magnitude. These findings extend quality improvement literatures in the context of mobile phone manufacturing system

scholarly journals Using the WHO Safe Childbirth Checklist to Improve Essential Care Delivery as Part of the District -Wide Maternal and Newborn Health Quality Improvement Initiative, a Time Series Study

2020 ◽  
Author(s):  
Befikadu Bitewulign ◽  
Dereje Abdissa ◽  
Zewdie Mulissa ◽  
Abiyou Kiflie ◽  
Mehiret Abate ◽  
...  
Keyword(s):  
Time Series ◽  
Quality Improvement ◽  
Newborn Health ◽  
System Level ◽  
Maternal And Newborn Health ◽  
Safe Childbirth Checklist ◽  
Safe Childbirth ◽  
Over Time ◽  
Maternal And Newborn

Abstract Background: Care bundles are a set of three to five evidence-informed practices which, when performed collectively and reliably, may improve health system performance and patient care. To date, many studies conducted to improve the quality of essential birth care practices (EBPs) have focused primarily on provider- level and have fallen short of the predicted impact on care quality, indicating that a systems approach is needed to improve the delivery of reliable quality care. This study evaluates the effectiveness of integrating the use of the World Health Organization Safe Childbirth Checklist (WHO-SCC) into a district-wide system improvement collaborative program designed to improve and sustain the delivery of EBPs as measured by "clinical bundle" adherence over-time.Methods: The WHO-SCC was introduced in the context of a district-wide Maternal and Newborn Health (MNH) collaborative quality of care improvement program in four agrarian Ethiopia regions. Three "clinical bundles" were created from the WHO-SCC: On Admission, Before Pushing, and Soon After Birth bundles. The outcome of each bundle was measured using all- or- none adherence. Adherence was assessed monthly by reviewing charts of live births.A time-series analysis was employed to assess the effectiveness of system-level interventions on clinical bundle adherence. STATA version 13.1 was used to analyze the trend of each bundle adherence overtime. Autocorrelation was checked to assess if the assumption of independence in observations collected overtime was valid. Prais-Winsten was used to minimize the effect of autocorrelation.Findings: Quality improvement interventions targeting the three clinical bundles resulted in improved adherence over time across the four regions. In Tigray region, adherence to “On Admission” bundle was increased monthly on average by B =1.39 (95% CI; 0.47 - 2.32; P<0.005).Similarly, adherence to the “Before Pushing” bundle in Southern Nations, Nationalities and People’s (SNNP) region increased monthly on average by B = 2.3 (95% CI; 0.89 - 3.74; P<0.005). Conclusion: Use of the WHO-SCC paired with a system-wide quality improvement approach improved and sustained quality of EBPs delivery. Further studies should be conducted to evaluate the impact on patient-level outcomes.

scholarly journals Using the WHO safe childbirth checklist to improve essential care delivery as part of the district-wide maternal and newborn health quality improvement initiative, a time series study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Befikadu Bitewulign ◽  
Dereje Abdissa ◽  
Zewdie Mulissa ◽  
Abiyou Kiflie ◽  
Mehiret Abate ◽  
...  
Keyword(s):  
Time Series ◽  
Quality Improvement ◽  
Newborn Health ◽  
System Level ◽  
Maternal And Newborn Health ◽  
Safe Childbirth Checklist ◽  
Safe Childbirth ◽  
Over Time ◽  
Maternal And Newborn

Abstract Background Care bundles are a set of three to five evidence-informed practices which, when performed collectively and reliably, may improve health system performance and patient care. To date, many studies conducted to improve the quality of essential birth care practices (EBPs) have focused primarily on provider- level and have fallen short of the predicted impact on care quality, indicating that a systems approach is needed to improve the delivery of reliable quality care. This study evaluates the effect of integrating the use of the World Health Organization Safe Childbirth Checklist (WHO-SCC) into a district-wide system improvement collaborative program designed to improve and sustain the delivery of EBPs as measured by “clinical bundle” adherence over-time. Methods The WHO-SCC was introduced in the context of a district-wide Maternal and Newborn Health (MNH) collaborative quality of care improvement program in four agrarian Ethiopia regions. Three “clinical bundles” were created from the WHO-SCC: On Admission, Before Pushing, and Soon After Birth bundles. The outcome of each bundle was measured using all- or- none adherence. Adherence was assessed monthly by reviewing charts of live births. A time-series analysis was employed to assess the effectiveness of system-level interventions on clinical bundle adherence. STATA version 13.1 was used to analyze the trend of each bundle adherence overtime. Autocorrelation was checked to assess if the assumption of independence in observations collected overtime was valid. Prais-Winsten was used to minimize the effect of autocorrelation. Findings Quality improvement interventions targeting the three clinical bundles resulted in improved adherence over time across the four MNH collaborative. In Tankua Abergele collaborative (Tigray Region), the overall mean adherence to “On Admission” bundle was 86% with β = 1.39 (95% CI; 0.47–2.32; P <  0.005) on average monthly. Similarly, the overall mean adherence to the “Before Pushing” bundle in Dugna Fango collaborative; Southern Nations, Nationalities and People’s (SNNP) region was 80% with β = 2.3 (95% CI; 0.89–3.74; P <  0.005) on average monthly. Conclusion Using WHO-SCC paired with a system-wide quality improvement approach improved and sustained quality of EBPs delivery. Further studies should be conducted to evaluate the impact on patient-level outcomes.

scholarly journals Dynamic Conditional Correlation GARCH: A Multivariate Time Series Novel using a Bayesian Approach

2020 ◽  
Vol 18 (1) ◽  
pp. 2-17
Author(s):  
Diego Nascimento ◽  
Cleber Xavier ◽  
Israel Felipe ◽  
Francisco Louzada Neto
Keyword(s):  
Time Series ◽  
Monte Carlo ◽  
Financial Markets ◽  
Multivariate Time Series ◽  
Estimation Of Parameters ◽  
Conditional Correlation ◽  
Dynamic Conditional Correlation ◽  
Mutation Model ◽  
Joint Evolution ◽  
Over Time

The Dynamic Conditional Correlation GARCH (DCC-GARCH) mutation model is considered using a Monte Carlo approach via Markov chains in the estimation of parameters, time-dependence variation is visually demonstrated. Fifteen indices were analyzed from the main financial markets of developed and developing countries from different continents. The performances of indices are similar, with a joint evolution. Most index returns, especially SPX and NDX, evolve over time with a higher positive correlation.

Structural breaks in cointegration models: Multivariate case

2021 ◽  
Vol 64 (4) ◽  
pp. 83-106
Author(s):  
Anton Skrobotov ◽  
◽  
Keyword(s):  
Time Series ◽  
Structural Breaks ◽  
Multivariate Time Series ◽  
Multivariate Case ◽  
Multiple Breaks ◽  
Over Time

This review discusses methods of testing for a cointegration rank in a multivariate time series in the presence of structural breaks. The review covers both the methods with known and unknown break date. Multiple breaks are also considered. The issues of testing for cointegration with a possible change in the cointegration rank over time are discussed separately.

Effects of a refined evidence-based toolkit and mentored implementation on medication reconciliation at 18 hospitals: results of the MARQUIS2 study

2021 ◽  
pp. bmjqs-2020-012709
Author(s):  
Jeffrey L Schnipper ◽  
Harry Reyes Nieva ◽  
Meghan Mallouk ◽  
Amanda Mixon ◽  
Stephanie Rennke ◽  
...  
Keyword(s):  
Time Series ◽  
Quality Improvement ◽  
Best Practices ◽  
Time Series Analysis ◽  
Medication Reconciliation ◽  
System Level ◽  
Medication Discrepancies ◽  
Patient Level ◽  
Series Analysis ◽  
Over Time

BackgroundThe first Multicenter Medication Reconciliation Quality Improvement (QI) Study (MARQUIS1) demonstrated that mentored implementation of a medication reconciliation best practices toolkit decreased total unintentional medication discrepancies in five hospitals, but results varied by site. The objective of this study was to determine the effects of a refined toolkit on a larger group of hospitals.MethodsWe conducted a pragmatic quality improvement study (MARQUIS2) at 18 North American hospitals or hospital systems from 2016 to 2018. Incorporating lessons learnt from MARQUIS1, we implemented a refined toolkit, offering 17 system-level and 6 patient-level interventions. One of eight physician mentors coached each site via monthly calls and performed one to two site visits. The primary outcome was number of unintentional medication discrepancies in admission or discharge orders per patient. Time series analysis used multivariable Poisson regression.ResultsA total of 4947 patients were sampled, including 1229 patients preimplementation and 3718 patients postimplementation. Both the number of system-level interventions adopted per site and the proportion of patients receiving patient-level interventions increased over time. During the intervention, patients experienced a steady decline in their medication discrepancy rate from 2.85 discrepancies per patient to 0.98 discrepancies per patient. An interrupted time series analysis of the 17 sites with sufficient data for analysis showed the intervention was associated with a 5% relative decrease in discrepancies per month over baseline temporal trends (adjusted incidence rate ratio: 0.95, 95% CI 0.93 to 0.97, p<0.001). Receipt of patient-level interventions was associated with decreased discrepancy rates, and these associations increased over time as sites adopted more system-level interventions.ConclusionA multicentre medication reconciliation QI initiative using mentored implementation of a refined best practices toolkit, including patient-level and system-level interventions, was associated with a substantial decrease in unintentional medication discrepancies over time. Future efforts should focus on sustainability and spread.

The Effect of Service Quality on Customers' Satisfaction in Mobile Phone Services in the UAE

2020 ◽  
Vol 8 (1) ◽  
pp. 75-94
Author(s):  
Emad Yusuf Masoud
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Mobile Phone ◽  
Service Providers ◽  
Mobile Service ◽  
Behavioural Difference ◽  
Mobile Industry ◽  
Quality Dimensions ◽  
Service Quality Dimensions ◽  
Network Quality

This study aims to determine the dimensions of mobile service quality and to examine their effect on customer satisfaction in UAE mobile phone service providers while also investigating the behavioural differences between mobile phone customers with prepaid and postpaid subscriptions. A combination of the SERVPERF model has been adopted as the main framework for analyzing service quality. A structured questionnaire instrument was designed for data collection. The present study concentrates on the level of customers’ satisfaction for leading service providers in the UAE mobile industry. Etisalat and Du were chosen for this study. A sample of (452) mobile phone users in Abu Dhabi city was selected at random using convenience-sampling. We found a positive effect of both functional and technical service quality (network quality) on customers’ satisfaction. Functional and technical dimensions were good predictors of customer satisfaction and confirmed the multidimensional nature of service quality. Also, the service quality dimensions; reliability, assurances, and responsiveness are found to be significant predictors of customer satisfaction. Behavioural difference between mobile phone customers is also significant in predicting customer satisfaction for postpaid subscribers. However, only reliability and network quality are significant predictors of customer satisfaction for prepaid subscribers. The model developed in this study provides marketers and researchers with a diagnostic tool to assess service quality from the perspectives of customers to meet the customer’s expectations and ensure customer satisfaction.

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