Introduction: Injuries account for 10% of the global burden of disease, resulting in approximately 5.8 million deaths annually. Trauma registries are an important tool in the development of a trauma system; however, limited resources in low- and middle-income countries (LMIC) make the development of high-quality trauma registries challenging. We describe the development of a LMIC trauma registry based on a robust retrospective chart review, which included data derived from prehospital, emergency centre and inpatient records.
Methods: This paper outlines our methods for identifying and locating patients and their medical records using pragmatic and locally appropriate record linkage techniques. A prehospital database was queried to identify patients transported to University Teaching Hospital - Kigali, Rwanda from December 2012 through February 2015. Demographic information was recorded and used to create a five-factor identification index, which was then used to search OpenClinic GA, an online open source hospital information system. The medical record number and archive number obtained from OpenClinic GA were then used to locate the physical medical record for data extraction.
Results: A total of 1668 trauma patients were transported during the study period. 66.7% were successfully linked to their medical record numbers and archive codes. 94% of these patients were successfully linked to their medical record numbers and archive codes were linked by four or five of the five pre-set identifiers. 945 charts were successfully located and extracted for inclusion in the trauma registry. Record linkage and chart extraction took approximately 1256 h.
Conclusion: The process of record linkage and chart extraction was a resource-intensive process; however, our unique methodology resulted in a high linkage rate. This study suggests that it is feasible to create a retrospective trauma registry in LMICs using pragmatic and locally appropriate record linkage techniques.
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http://dx.doi.org/10.1016/j.afjem.2016.10.002 | DOI Listing |
Objectives: To determine (1) which maternal and area characteristics are associated with reaching fidelity targets (the expected number of visits mothers should receive at each stage of the programme) in the Family-Nurse Partnership (FNP), and (2) whether achieving these fidelity targets affects outcomes.
Design, Setting And Population: Cohort study of mothers enrolled in the FNP, aged 13-19 years, giving birth between April 2010 and January 2018 in England. Mothers were linked to their Hospital Episode Statistics and National Pupil Database records.
JACC Cardiovasc Interv
January 2025
Ascension St Vincent Heart Center of Indiana, Indianapolis, Indiana, USA.
Background: The optimal timing for percutaneous coronary intervention (PCI) in patients undergoing transcatheter aortic valve replacement (TAVR) is debatable.
Objectives: The aim of this study was to compare outcomes based on the timing of PCI in stable coronary artery disease patients undergoing TAVR.
Methods: Leveraging the STS/ACC TVT Registry and Medicare Linkage, we analyzed patients with stable coronary artery disease undergoing PCI and TAVR between 2015 and 2023 using the SAPIEN 3 balloon-expandable valve platform.
RMD Open
January 2025
Clinical Epidemiology Division, Dept of Medicine, Karolinska Institutet, Stockholm, Sweden.
Objective: To compare work loss after starting tumour necrosis factor inhibitors (TNFi), rituximab, abatacept or tocilizumab in patients with rheumatoid arthritis (RA).
Methods: We used data from the Swedish Rheumatology Quality Register to identify patients aged 19-62 years who were treated with TNFi (n=15 093), rituximab (n=2123), abatacept (n=1877) or tocilizumab (n=1720) between 2007 and 2020. Data on work loss (0-365 days per year) from sick leave and disability pension were retrieved from linkage to the Social Insurance Agency.
Paediatr Perinat Epidemiol
January 2025
Department of Paediatrics and Adolescent Medicine, Lillebaelt Hospital, University Hospital of Southern Denmark, Kolding, Denmark.
Background: Although accessing administrative data in healthcare databases may be a more time-efficient and cost-effective method of conducting surveillance, there is evidence suggesting that administrative data alone are not sufficient for population-based surveillance of congenital anomalies.
Objective: To propose recommendations to maximise the potential use of healthcare databases for surveillance of congenital anomalies based on our data linkage experiences and results from the EUROlinkCAT study.
Methods: EUROlinkCAT is a population-based cohort study of 99,416 children with anomalies born between 1995 and 2014.
BMC Public Health
January 2025
Center for the Study of Healthcare Innovation, Implementation, and Policy (CSHIIP), Department of Veteran Affairs (VA) Greater Los Angeles, Los Angeles, CA, USA.
Background: Permanent supportive housing (PSH) is an evidence-based practice for reducing homelessness that subsidizes permanent, independent housing and provides case management-including linkages to health services. Substance use disorders (SUDs) are common contributing factors towards premature, unwanted ("negative") PSH exits; little is known about racial/ethnic differences in negative PSH exits among residents with SUDs. Within the nation's largest PSH program at the Department of Veterans Affairs (VA), we examined relationships among SUDs and negative PSH exits (for up to five years post-PSH move-in) across racial/ethnic subgroups.
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