Data Quality Improvement Strategy for the Certification of Telecommunication Tools and Equipment: Case Study at an Indonesia Government Institution

2020 ◽  
pp. 779-794
Author(s):  
E. A. Puspitaningrum ◽  
R. F. Aji ◽  
Y. Ruldeviyani
Keyword(s):  
Quality Improvement ◽  
Data Quality ◽  
Improvement Strategy ◽  
Quality Improvement Strategy ◽  
Government Institution

scholarly journals Structured yet simple approaches to primary care data quality improvements can indeed strike gold

2021 ◽  
Vol 27 (2) ◽  
pp. 143
Author(s):  
Abhijeet Ghosh ◽  
Elizabeth Halcomb ◽  
Sandra McCarthy ◽  
Christine Ashley
Keyword(s):  
Primary Care ◽  
General Practice ◽  
Quality Improvement ◽  
Data Quality ◽  
Disease Surveillance ◽  
Data Entry ◽  
Structured Interviews ◽  
Improvement Strategy ◽  
Quality Improvement Strategy ◽  
Primary Care Data

General practice data provide important opportunities for both population health and within-practice initiatives to improve health. Despite its promise, a lack of accuracy affects the use of such data. The Sentinel Practices Data Sourcing (SPDS) project is a structured chronic disease surveillance and data quality improvement strategy in general practice. A mixed-methods approach was used to evaluate data quality improvement in 99 participating practices over 12 months. Quantitative data were obtained by measuring performance against 10 defined indicators, whereas 48 semi-structured interviews provided qualitative data. Aggregated scores demonstrated improvements in all indicators, ranging from minor to substantially significant improvements. Participants reported positively on levels of support provided, and acquisition of new knowledge and skills relating to data entry and cleansing. This evaluation provides evidence of the effectiveness of a structured approach to improve the quality of primary care data. Investing in this targeted intervention has the potential to create sustained improvements in data quality, which can drive clinical practice improvement.

scholarly journals Implementation of a Quality Improvement Strategy to Increase Outpatient Kidney Transplant Referrals

2020 ◽  
Author(s):  
Samira Farouk ◽  
Sarah Atallah ◽  
Kirk N Campbell ◽  
Joseph A Vassalotti ◽  
Jaime Uribarri
Keyword(s):  
Quality Improvement ◽  
Kidney Transplantation ◽  
Kidney Transplant ◽  
Outpatient Setting ◽  
Improvement Strategy ◽  
Quality Improvement Strategy ◽  
Important Barrier ◽  
Transplant Evaluation ◽  
End Stage ◽  
The Impact

Abstract Background: Kidney transplantation remains the optimal therapy for patients with end stage kidney disease (ESKD), though a small fraction of patients on dialysis are on organ waitlists. An important barrier to preemptive kidney transplantation and successful waitlisting is timely referral to a kidney transplant center. We implemented a quality improvement strategy to improve outpatient kidney transplant referrals in a single center academic outpatient nephrology clinic. Methods: Over a 3 month period (July 1 - September 30, 2016), we assessed the baseline kidney transplantation referral rate at our outpatient nephrology clinic for patients 18 - 75 years old with an estimated glomerular filtration rate (eGFR) of less than 20 mL/min/1.73m 2 (2 values over 90 days apart). Charts were manually reviewed by two reviewers to look for kidney transplant referrals and documentation of discussions about kidney transplantation. We then performed a root cause analysis to explore potential barriers to kidney transplantation. Our intervention began on July 1, 2017 and included the implementation of a column in the electronic medical record (EMR) which displayed the patient's last eGFR as part of the clinic schedule. Physicians were given a document listing their patients to be seen that day with an eGFR of < 20 mL/min/1.73m 2 . Results: 54 unique patients with eGFR ≤ 20 ml/min/1.73 m 2 were identified who were seen in the Clinic between July 1, 2016 and September 30, 2016. 29.6% (16) eligible patients were referred for kidney transplantation evaluation. 69.5% (37) of these patients were not referred for kidney transplant evaluation. 46.3% (25) did not have documentation regarding kidney transplant in the EMR. Following the intervention, 66 unique patients met criteria for eligibility for kidney transplant evaluation. Kidney transplant referrals increased to 60.6% (p < 0.001). Conclusions: Our pilot implementation study of a strategy to improve outpatient kidney transplant referrals showed that a free, simple, scalable intervention can significantly improve kidney transplant referrals in the outpatient setting Next steps include further study of the impact of early referral to kidney transplant centers on preemptive and living donor kidney transplantation as well as successful waitlisting.

scholarly journals An environmental analysis of the evolution of readmission reduction strategies: A study of United States hospitals

2017 ◽  
Vol 6 (5) ◽  
pp. 40
Author(s):  
Soumya Upadhyay ◽  
William Opoku-Agyeman ◽  
Nancy Borkowski
Keyword(s):  
Quality Improvement ◽  
Environmental Factors ◽  
Improvement Strategy ◽  
Quality Improvement Strategy ◽  
Hospital Administrators ◽  
Search Terms ◽  
Time Period ◽  
Key Stakeholders ◽  
Reduction Strategies ◽  
Specific Search

Objective: Environmental factors have changed the manner in which issues in the U.S. healthcare industry are addressed. One of these changes is in the area of quality improvement, specifically readmission reduction. The purpose of this paper is two-fold: (1) analyze macro-environmental segments (political, technological, economic, and socio-demographic); and (2) trace the historic evolution of readmission reduction programs to understand how macro-environmental factors have shaped the development of readmission reduction strategies.Methods: Scopus, PubMed, and ABI/Inform electronic databases were searched for articles on readmission reduction programs from 2000 to 2014. In addition, literature on macro-environment was retrieved from these sources for the same time period. Studies were identified using specific search terms and inclusion criteria. A total of 24 articles were selected for review. Data on the following variables were extracted: type of organization studied, type of quality improvement strategy used, type of patients studied, and results of the strategy. In addition, an examination of macro-environmental factors that may have affected the above variables was done. Finally, results were integrated and presented in a chronological order.Results: Findings suggest that macro-environmental factors have influenced the development of readmission reduction strategies over time. This paper informs healthcare managers about being cognizant of environmental trends when devising readmission reduction strategies within hospitals.Conclusions: Insights from this paper urge hospital administrators to forge collaborations with key stakeholders while developing new quality improvement strategies when facing an unstable and complex environment.

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