scholarly journals Algorithms for assessing person-based consistency among linked records for the investigation of maternal use of medications and safety

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Duong Tran ◽  
Alys Havard ◽  
Louisa Jorm
Keyword(s):  
Maternal Age ◽  
Service Use ◽  
Population Based ◽  
Birth Date ◽  
Mortality Data ◽  
South Wales ◽  
The Status ◽  
High Consistency ◽  
Project Data ◽  
Data Collections

ABSTRACTObjectivesPerinatal records linked to pharmaceutical claims and other administrative data provide a powerful resource to investigate maternal use of medications and safety. In this population-based project, data quality assessment was performed on the consistency of linked records brought together from several data collections to ensure reliable links for data analysis. ApproachPerinatal data for the Australian states of New South Wales (NSW) and Western Australia (WA) were linked to pharmaceutical claims by a Commonwealth integrating authority, while linkage to hospital admission, emergency department (ED), mortality and congenital notification data was performed by respective State-based data linkage units. All de-identified records belonging to a unique person ID were sorted chronologically. To assess the consistency of unique persons, both within and across States, algorithms were developed based on pregnancy plurality and birth order, gestation, parity, maternal age and sex, date of delivery, dates of health service use, and State where the claim was made. ResultsThe dataset included 595,456 NSW and 188,014 WA mothers with respectively 937,344 and 295,095 pregnancies delivered between 2003 and 2012. The information brought together through linkage was highly consistent for the majority of mothers and infants. Inconsistencies are identified in 742 cases, including negative inter-pregnancy period, highly illogical parity, highly inconsistent maternal age, maternal gender being systematically recorded as male, use of health services after date of death, and different infants sharing a common ID. These cases will be excluded from analyses. Date of delivery was corrected for 667 pregnancies, using date of birth recorded in the infant’s admission and ED records, and date of the mother’s admissions. Among admission and ED records, over 8000 needed correction in infant age due to typographical errors, 1820 were duplicates, while 1000 had discrepancies between dates of birth, date of admission and separation. There were 455 deaths, mostly neonates, identified by status of admission or ED discharge but not recorded in mortality data. The majority of these deaths were confirmed by the status of neonatal discharge at birth. There were 3404 women who had a single unique ID according to Commonwealth linkage but more than one unique IDs according to State-based linkage. 2827 mothers had births recorded in both NSW and WA. ConclusionQuality assessment indicated high consistency among linked records. The set of algorithms developed in this project can be applied to similar linked perinatal datasets to promote a consistent approach and comparability across studies.

scholarly journals Hospitalization Due to Assault Injury Across Different Age Groups, 2010 to 2014: A Population-Based Study in New South Wales, Australia

2018 ◽  
Vol 31 (1) ◽  
pp. 39-50
Author(s):  
Rebecca Seah ◽  
Brian Draper ◽  
Rebecca Mitchell
Keyword(s):  
Health Outcomes ◽  
New South ◽  
New South Wales ◽  
Age Groups ◽  
Population Based ◽  
Hospital Length Of Stay ◽  
Public Health Issue ◽  
Mortality Data ◽  
South Wales ◽  
Hospitalization Costs

Objective. Assault is a global public health issue that affects individuals of all ages. This study describes the epidemiological profile of assault-related hospitalization and health outcomes across different age groups in New South Wales, Australia. Methods. Population-based linked hospitalization and mortality data from January 1, 2010, to June 30, 2014, were used to identify assault-related hospitalizations. Age-standardized rates were calculated and health outcomes were examined by age group. Results. There were 22 579 hospitalizations due to assault, with an age-standardized rate of 55.9 per 100 000 population (95% confidence interval = 55.2 to 56.70). Assault by bodily force (63.1%) and by sharp or blunt objects (21.6%) were the most common injury mechanisms. Individuals above 60 years had the highest mean hospital length of stay at 7.3 days, 30- and 90-day mortality, and average hospitalization costs at $9757. Conclusion. The findings have important implications in informing the development and strategies to reduce assault-related incidents in the community.

Self-harm hospitalised morbidity and mortality risk using a matched population-based cohort design

2017 ◽  
Vol 52 (3) ◽  
pp. 262-270 ◽  
Author(s):  
Rebecca J Mitchell ◽  
Cate M Cameron
Keyword(s):  
At Risk ◽  
Confidence Interval ◽  
Mortality Risk ◽  
Service Use ◽  
Population Based ◽  
Mortality Data ◽  
Post Discharge ◽  
Self Harm ◽  
Rate Ratios ◽  
Hospital Use

Objective: Prior and repeated self-harm hospitalisations are common risk factors for suicide. However, few studies have accounted for pre-existing comorbidities and prior hospital use when quantifying the burden of self-harm. The aim is to quantify hospitalisation in the 12 months preceding and re-hospitalisation and mortality risk in the 12 months post a self-harm hospitalisation. Method: A population-based matched cohort using linked hospital and mortality data for individuals ⩾18 years from four Australian jurisdictions. A non-injured comparison cohort was matched on age, gender and residential postcode. Twelve-month pre- and post-index self-harm hospitalisations and mortality were examined. Results: The 11,597 individuals who were hospitalised following self-harm in 2009 experienced 21% higher health service use in the 12 months pre and post the index admission and a higher mortality rate (2.9% vs 0.3%) than their matched counterparts. There were 133 (39.0%) deaths within 2 weeks of hospital discharge and 342 deaths within 12 months of the index hospitalisation in the self-harm cohort. Adjusted rate ratios for hospital readmission were highest for females (2.86; 95% confidence interval: [2.33, 2.52]) and individuals aged 55–64 years (3.96; 95% confidence interval: [2.79, 5.64]). Conclusion: Improved quantification of the burden of self-harm-related hospital use can inform resource allocation for intervention and after-care services for individuals at risk of repeated self-harm. Better assessment of at-risk self-harm behaviour, appropriate referrals and improved post-discharge care, focusing on care continuity, are needed.

Psychosis and Criminal Offending: A Population-Based Data-Linkage Study

2020 ◽  
pp. 009385482096483
Author(s):  
Nabila Z. Chowdhury ◽  
Olayan Albalawi ◽  
Handan Wand ◽  
Stephen Allnutt ◽  
Armita Adily ◽  
...  
Keyword(s):  
Case Control Study ◽  
Data Linkage ◽  
New South ◽  
Population Based ◽  
Linkage Study ◽  
Criminal Convictions ◽  
South Wales ◽  
Using Data ◽  
Data Collections ◽  
Control Study

This population-based case-control study examines the association between psychosis and criminal convictions in New South Wales (NSW), Australia, using data from several health and offending administrative data collections. Cases were individuals diagnosed with psychosis between 2001 and 2012 ( n = 86,461). For each case, two age- and sex-matched controls with no diagnosis of psychosis were selected. Criminal convictions were identified using the NSW Reoffending Database. Cases were approximately 5 times more likely to offend compared with controls, adjusted odds ratio (aOR) = 4.68, 95% confidence interval (CI) = [4.55, 4.81], and accounted for 10% of all criminal convictions in NSW between 2001 and 2015. The prevalence of at least one criminal conviction was 30% among cases compared with 6% among controls. The results from this study confirm previous work regarding the association between psychosis and criminal convictions. More work is needed to better articulate the mechanisms for this association to enable prevention strategies to be developed.

scholarly journals Resource use and costs associated with epilepsy in the Queensland hospital system: protocol for a population-based data linkage study

BMJ Open ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. e050070
Author(s):  
Ruth Tulleners ◽  
Robin Blythe ◽  
Sasha Dionisio ◽  
Hannah Carter
Keyword(s):  
Health Service ◽  
Service Use ◽  
Data Linkage ◽  
Hospital Admissions ◽  
Population Based ◽  
Health Service Use ◽  
Mortality Data ◽  
Service Utilisation ◽  
Indigenous Status ◽  
Hospital System

IntroductionEpilepsy places a large burden on health systems, with hospitalisations for seizures alone occurring more frequently than those related to diabetes. However, the cost of epilepsy to the Australian health system is not well understood. The primary aim of this study is to quantify the health service use and cost of epilepsy in Queensland, Australia. Secondary aims are to identify differences in health service use and cost across population and disease subgroups, and to explore the associations between health service use and common comorbidities.Methods and analysisThis project will use data linkage to identify the health service utilisation and costs associated with epilepsy. A base cohort of patients will be identified from the Queensland Hospital Admitted Patient Data Collection. We will select all patients admitted between 2014 and 2018 with a diagnosis classification related to epilepsy. Two comparison cohorts will also be identified. Retrospective hospital admissions data will be linked with emergency department presentations, clinical costing data, specialist outpatient and allied health occasions of service data and mortality data. The level of health service use in Queensland, and costs associated with this, will be quantified using descriptive statistics. Difference in health service costs between groups will be explored using logistic regression. Linear regression will be used to model the associations of interest. The analysis will adjust for confounders including age, sex, comorbidities, indigenous status, and remoteness.Ethics and disseminationEthical approval has been obtained through the QUT University Human Research Ethics Committee (1900000333). Permission to waive consent has been granted under the Public Health Act 2005, with approval provided by all relevant data custodians. Findings of the proposed research will be communicated through presentations at national and international conferences, presentations to key stakeholders and decision-makers, and publications in international peer-reviewed journals.

scholarly journals Whole of population-based cohort study of recovery time from COVID-19 in New South Wales Australia

2021 ◽  
pp. 100193
Author(s):  
Bette Liu ◽  
Duleepa Jayasundara ◽  
Victoria Pye ◽  
Timothy Dobbins ◽  
Gregory J Dore ◽  
...  
Keyword(s):  
Cohort Study ◽  
Recovery Time ◽  
New South ◽  
New South Wales ◽  
Population Based ◽  
South Wales

scholarly journals Mortality beyond emergency threshold in a silent crisis– results from a population-based mortality survey in Ouaka prefecture, Central African Republic, 2020

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Eve Robinson ◽  
Lawrence Lee ◽  
Leslie F. Roberts ◽  
Aurelie Poelhekke ◽  
Xavier Charles ◽  
...  
Keyword(s):  
Central African Republic ◽  
Causes Of Death ◽  
Maternal Mortality Ratio ◽  
Mortality Rates ◽  
Population Based ◽  
Access To Healthcare ◽  
Mortality Data ◽  
Humanitarian Emergency ◽  
The World ◽  
Mortality Survey

Abstract Background The Central African Republic (CAR) suffers a protracted conflict and has the second lowest human development index in the world. Available mortality estimates vary and differ in methodology. We undertook a retrospective mortality study in the Ouaka prefecture to obtain reliable mortality data. Methods We conducted a population-based two-stage cluster survey from 9 March to 9 April, 2020 in Ouaka prefecture. We aimed to include 64 clusters of 12 households for a required sample size of 3636 persons. We assigned clusters to communes proportional to population size and then used systematic random sampling to identify cluster starting points from a dataset of buildings in each commune. In addition to the mortality survey questions, we included an open question on challenges faced by the household. Results We completed 50 clusters with 591 participating households including 4000 household members on the interview day. The median household size was 7 (interquartile range (IQR): 4—9). The median age was 12 (IQR: 5—27). The birth rate was 59.0/1000 population (95% confidence interval (95%-CI): 51.7—67.4). The crude and under-five mortality rates (CMR & U5MR) were 1.33 (95%-CI: 1.09—1.61) and 1.87 (95%-CI: 1.37–2.54) deaths/10,000 persons/day, respectively. The most common specified causes of death were malaria/fever (16.0%; 95%-CI: 11.0–22.7), violence (13.2%; 95%-CI: 6.3–25.5), diarrhoea/vomiting (10.6%; 95%-CI: 6.2–17.5), and respiratory infections (8.4%; 95%-CI: 4.6–14.8). The maternal mortality ratio (MMR) was 2525/100,000 live births (95%-CI: 825—5794). Challenges reported by households included health problems and access to healthcare, high number of deaths, lack of potable water, insufficient means of subsistence, food insecurity and violence. Conclusions The CMR, U5MR and MMR exceed previous estimates, and the CMR exceeds the humanitarian emergency threshold. Violence is a major threat to life, and to physical and mental wellbeing. Other causes of death speak to poor living conditions and poor access to healthcare and preventive measures, corroborated by the challenges reported by households. Many areas of CAR face similar challenges to Ouaka. If these results were generalisable across CAR, the country would suffer one of the highest mortality rates in the world, a reminder that the longstanding “silent crisis” continues.

scholarly journals Mortality Outcomes in People Experiencing Homelessness Across England: a population-based study

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
D Menezes ◽  
D Lewer ◽  
A Yavlinsky ◽  
M Tinelli ◽  
R Aldridge
Keyword(s):  
Hospital Discharge ◽  
Mortality Risk ◽  
Meta Analysis ◽  
Population Based ◽  
Mortality Data ◽  
Additive Interaction ◽  
Population Based Study ◽  
Group A ◽  
Healthcare Interventions ◽  
Discharge From Hospital

Abstract Introduction The number of people experiencing homelessness in England has increased since 2010 and a recent systematic review and meta-analysis demonstrated high levels of mortality in this group across high-income countries. In this study we examine the death rates in people experiencing homelessness after discharge from hospital. Methods This is a study of linked hospital admission records and mortality data for two groups. First, a “Homeless group”: people seen by 17 specialist homeless discharge schemes between 1 November 2013 and 30 November 2016. Second, an “IMD5 group”: A matched group of patients who live in deprived areas and have the same age and sex, and were discharged from the same hospital in the same year as the homeless patient. Our analysis entailed calculating mortality rates across each group and by the number of comorbidities. Results The mortality rate for the IMD5 group was 1,935 deaths per 100,000 person years, compared with 5,691 for the homeless group, giving a rate ratio of 2.9 (95% CI 2.5-3.5). The mortality risk increased with the number of comorbidities. Individuals in the IMD5 group with zero comorbidities had a death rate of 831 per 100,000 person-years, compared with the homeless group for which the corresponding figure was 2,598 and or those with 4+ comorbidities were 7,324 (IMD5) and 12,714 (homeless). This suggests a 'super-additive' interaction in which the effect of morbidity on mortality risk after discharge is greater for homeless patients. Survival at 5 years for the homelessness group was for men 80% (95% CI 77-85) and women 85 (95% CI 81-87). Conclusions This study shows that the well-established inequity in mortality for people experiencing homelessness exists after discharge from hospital and is greatest for the most unwell patients. Our results suggest a need for greater emphasis on prevention of homelessness, early healthcare interventions and improved hospital discharge arrangements for this population. Key messages The well-established inequity in mortality for people experiencing homelessness exists after discharge from hospital and is greatest for the most unwell patients. Our results suggest a need for greater emphasis on prevention of homelessness, early healthcare interventions and improved hospital discharge arrangements for this population.

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