Assessing the impact of Queensland's late‐night alcohol restrictions using health system data

2021 ◽  
Author(s):  
Michael Livingston ◽  
Kerri Coomber ◽  
Dominique de Andrade ◽  
Nicholas Taylor ◽  
Jason Ferris ◽  
...  
Keyword(s):  
Health System ◽  
Late Night ◽  
System Data ◽  
Health System Data ◽  
The Impact

Using Health System Data for Improvement Science: Getting Started

2018 ◽  
Vol 29 (3) ◽  
pp. 348-353 ◽  
Author(s):  
Yanfang Zhao ◽  
Bradi B. Granger
Keyword(s):  
Health System ◽  
Improvement Science ◽  
System Data ◽  
Health System Data

scholarly journals The Evolution of Measles in Romania Between 2016 and 2018. A comprehesive overview

2019 ◽  
Vol 70 (10) ◽  
pp. 3665-3670
Author(s):  
Simona Nicoleta Musat ◽  
Maria Roxana Nemes ◽  
Cosmin Alec Moldovan ◽  
Tudor Harsovescu ◽  
Ioan Sorin Tudorache ◽  
...  
Keyword(s):  
Public Health ◽  
Health System ◽  
Health Management ◽  
National Health System ◽  
Public Health Issue ◽  
Complication Rates ◽  
Vaccination Rates ◽  
Grand Total ◽  
System Data ◽  
Health System Data

Measles is an ever-growing threat, a major public health issue, being responsible for a large number of deaths, especially in children. This paper aims to study all cases of measles in Romanian hospitals, cases reported by National School of Public Health, Management and Professional Development, Bucharest on a two year period of time; the study focuses on frequency and pattern territorial distribution of cases, temporal evolution, complication rates and the social pressure the such an infectious disease is putting onto the national health system. Data gathered shows a total number of 2,985 for 2016, 10,181 for 2017 and 8,364 for the entire 2018, with a grand total of 21,530 patients analyzed by our study. The analysis clearly shows, on one hand, a descending rate in vaccination coverage, compared with the national assigned target and, on the other hand, a continuous drop in vaccination rates with the first dose of Measles-mumps-rubella vaccine (MMR), both being in equal manner dangerous situations for the entire health system in Romania.

scholarly journals The Perspectives of Programme Staff and Recipients on the Acceptability and Benefits of the Ward-Based Outreach Teams in a South African Province

Healthcare ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 464
Author(s):  
Cheryl Nelson ◽  
Sphiwe Madiba
Keyword(s):  
Health System ◽  
Treatment Adherence ◽  
Positive Effects ◽  
Multiple Data ◽  
Outreach Services ◽  
Default Rates ◽  
Outreach Programme ◽  
System Data ◽  
Health System Data ◽  
Cure Rates

The re-engineering of primary health care (PHC) called for the establishment of ward-based outreach teams as a reform strategy to bridge the gap between health facilities and communities. The Nkangala district established ward-based outreach teams in 2012. We used process evaluation to assess the acceptability of the outreach teams from the perspectives of those involved in the implementation as well as the clients who are the recipients of the outreach services in order to describe how the programme benefits the recipients, the staff, and the health system. Data were collected through interviews with multiple data sources. A thematic analysis was done using NVivo 11. The outreach programme is acceptable to the recipients and staff. The acceptability translated into measurable benefits for the recipients and the health system. Health benefits included increased access to services, support for treatment adherence, and linkages to various sector departments for social support. Since the inception of outreach teams, the district has recorded low utilisation of PHC services and improved priority indicators such as immunisation coverage, early antenatal bookings, treatment adherence, TB cure rates, and decreased default rates. The positive effects of the outreach teams on indicators underscore the need to roll the programme out to all sub-districts.

scholarly journals A Narrative Review and Proposed Framework for Using Health System Data with Systematic Reviews to Support Decision-making

2020 ◽  
Vol 35 (6) ◽  
pp. 1830-1835 ◽  
Author(s):  
Jennifer S. Lin ◽  
M. Hassan Murad ◽  
Brian Leas ◽  
Jonathan R. Treadwell ◽  
Roger Chou ◽  
...  
Keyword(s):  
Decision Making ◽  
Health System ◽  
Systematic Reviews ◽  
Narrative Review ◽  
System Data ◽  
Health System Data ◽  
Support Decision Making

scholarly journals Incidence Rates of Gynecologic Cancers in the U.S. Active Duty Military Population

2020 ◽  
Vol 185 (9-10) ◽  
pp. e1590-e1595
Author(s):  
Steffanie Owens ◽  
Tara Blando ◽  
Yohannes B Tesema ◽  
Elizabeth Butts ◽  
Jessica Newton ◽  
...  
Keyword(s):  
Health System ◽  
Active Duty ◽  
Incidence Rates ◽  
Data Repository ◽  
Military Health System ◽  
Gynecologic Cancers ◽  
Military Health ◽  
Tumor Registry ◽  
System Data ◽  
Health System Data

Abstract Introduction Despite an increasing number of female service members, incidence rates of gynecologic cancers (other than cervical cancer) have not been previously documented in the U.S. active duty military population. This study sought to determine the incidence rates of all gynecologic, including peritoneal, malignancies in the U.S. Active Duty population compared to the general US population as reported in the Surveillance, Epidemiology, and End Results Program database. Materials and Methods Gynecologic cancers diagnosed in U.S. Active Duty women aged 20–59 between 2004 and 2013 were retrospectively ascertained. Cancer cases were identified in both the Automated Central Tumor Registry and the Military Health System Data Repository. All cases in Automated Central Tumor Registry plus cases recorded in Military Health System Data Repository, but not duplicative of Automated Central Tumor Registry cases, were included. Age-specific and age-adjusted incidence rates were calculated in military and Surveillance, Epidemiology, and End Results cases. Results In U.S. Active Duty women, 327 incident cases of gynecologic cancer were identified. There were 110 cases of cervical cancer, 40 cases of endometrial cancer, 152 cases of ovarian cancer, and 25 other gynecologic malignancies. Of the 327 cases, 154 were ascertained from the Automated Central Tumor Registry database and the remainder from Military Health System Data Repository claims data. The age-adjusted rate of all gynecologic cancers for U.S. Active Duty women was 49.17 per 105 (95%CI 37.58, 65.12), while the age-adjusted rate for Surveillance, Epidemiology, and End Results −18 was 42.09 per 105 (95%CI 41.83, 42.35). The kappa coefficient assessing the overlap between the data sources was −0.1937. Though insufficient in numbers for statistical analysis, the observed proportion of ovarian to cervical cancer cases in active duty women < 45 years of age was substantially greater than in the general population. Conclusions U.S. Active Duty women exhibited a similar age-adjusted rate of gynecologic cancer as the general US population. There was suboptimal overlap between the Automated Central Tumor Registry and Military Health System Data Repository databases, indicating the necessity of using both databases in order to obtain reliable data in the active duty population. This study is the current best estimate of a baseline rate of gynecologic cancer in U.S. active duty military women. This rate might change over time as women’s roles and exposures in recent and future military conflicts evolve.

scholarly journals Costs of cancer care for use in economic evaluation: a UK analysis of patient-level routine health system data

2015 ◽  
Vol 112 (5) ◽  
pp. 948-956 ◽  
Author(s):  
P S Hall ◽  
P Hamilton ◽  
C T Hulme ◽  
D M Meads ◽  
H Jones ◽  
...  
Keyword(s):  
Economic Evaluation ◽  
Health System ◽  
Cancer Care ◽  
Patient Level ◽  
System Data ◽  
Health System Data

scholarly journals Estimating Prevalence of CKD Stages 3-5 Using Health System Data

2013 ◽  
Vol 61 (6) ◽  
pp. 930-938 ◽  
Author(s):  
Vahakn B. Shahinian ◽  
Elizabeth Hedgeman ◽  
Brenda W. Gillespie ◽  
Eric W. Young ◽  
Bruce Robinson ◽  
...  
Keyword(s):  
Health System ◽  
System Data ◽  
Health System Data
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