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"RESEARCH AND PRACTICE"
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Approach to record linkage of primary care data from Clinical Practice Research Datalink to other health-related patient data
Record linkage is increasingly used to expand the information available for public health research. An understanding of record linkage methods and the relevant strengths and limitations is important for robust analysis and interpretation of linked data. Here, we describe the approach used by Clinical Practice Research Datalink (CPRD) to link primary care data to other patient level datasets, and the potential implications of this approach for CPRD data analysis. General practice electronic health record software providers separately submit de-identified data to CPRD and patient identifiers to NHS Digital, excluding patients who have opted-out from contributing data. Data custodians for external datasets also send patient identifiers to NHS Digital. NHS Digital uses identifiers to link the datasets using an 8-stage deterministic methodology. CPRD subsequently receives a de-identified linked cohort file and provides researchers with anonymised linked data and metadata detailing the linkage process. This methodology has been used to generate routine primary care linked datasets, including data from Hospital Episode Statistics, Office for National Statistics and National Cancer Registration and Analysis Service. 10.6 million (M) patients from 411 English general practices were included in record linkage in June 2018. 9.1M (86 %) patients were of research quality, of which 8.0M (88 %) had a valid NHS number and were eligible for linkage in the CPRD standard linked dataset release. Linking CPRD data to other sources improves the range and validity of research studies. This manuscript, together with metadata generated on match strength and linkage eligibility, can be used to inform study design and explore potential linkage-related selection and misclassification biases.
Journal Article
Completeness, agreement, and representativeness of ethnicity recording in the United Kingdom’s Clinical Practice Research Datalink (CPRD) and linked Hospital Episode Statistics (HES)
Background
This descriptive study assessed the completeness, agreement, and representativeness of ethnicity recording in the United Kingdom (UK) Clinical Practice Research Datalink (CPRD) primary care databases alone and, for those patients registered with a GP in England, when linked to secondary care data from Hospital Episode Statistics (HES).
Methods
Ethnicity records were assessed for all patients in the May 2021 builds of the CPRD GOLD and CPRD Aurum databases for all UK patients. In analyses of the UK, English data was from combined CPRD-HES, whereas data from Northern Ireland, Scotland, and Wales drew from CPRD only. The agreement of ethnicity records per patient was assessed within each dataset (CPRD GOLD, CPRD Aurum, and HES datasets) and between datasets at the highest level ethnicity categorisation (‘Asian’, ‘black’, ‘mixed’, ‘white’, ‘other’). Representativeness was assessed by comparing the ethnic distributions at the highest-level categorisation of CPRD-HES to those from the Census 2011 across the UK’s devolved administrations. Additionally, CPRD-HES was compared to the experimental ethnic distributions for England and Wales from the Office for National Statistics in 2019 (ONS2019) and the English ethnic distribution from May 2021 from NHS Digital’s General Practice Extraction Service Data for Pandemic Planning and Research with HES data linkage (GDPPR-HES).
Results
In CPRD-HES, 81.7% of currently registered patients in the UK had ethnicity recorded in primary care. For patients with multiple ethnicity records, mismatched ethnicity within individual primary and secondary care datasets was < 10%. Of English patients with ethnicity recorded in both CPRD and HES, 93.3% of records matched at the highest-level categorisation; however, the level of agreement was markedly lower in the ‘mixed’ and ‘other’ ethnic groups. CPRD-HES was less proportionately ‘white’ compared to the UK Census 2011 (80.3% vs. 87.2%) and experimental ONS2019 data (80.4% vs. 84.3%). CPRD-HES was aligned with the ethnic distribution from GDPPR-HES (‘white’ 80.4% vs. 80.7%); however, with a smaller proportion classified as ‘other’ (1.1% vs. 2.8%).
Conclusions
CPRD-HES has suitable representation of all ethnic categories with some overrepresentation of minority ethnic groups and a smaller proportion classified as ‘other’ compared to the UK general population from other data sources. CPRD-HES data is useful for studying health risks and outcomes in typically underrepresented groups.
Journal Article
Increasing Transparency Through a Multiverse Analysis
Empirical research inevitably includes constructing a data set by processing raw data into a form ready for statistical analysis. Data processing often involves choices among several reasonable options for excluding, transforming, and coding data. We suggest that instead of performing only one analysis, researchers could perform a multiverse analysis, which involves performing all analyses across the whole set of alternatively processed data sets corresponding to a large set of reasonable scenarios. Using an example focusing on the effect of fertility on religiosity and political attitudes, we show that analyzing a single data set can be misleading and propose a multiverse analysis as an alternative practice. A multiverse analysis offers an idea of how much the conclusions change because of arbitrary choices in data construction and gives pointers as to which choices are most consequential in the fragility of the result.
Journal Article
Essential research findings in child and adolescent counselling and psychotherapy
\"What can child and adolescent counselors and therapists learn from research? What evidence is there for the effectiveness of different therapies and techniques? How can developmental or neuroscience research inform or inspire therapeutic work with young people? The book provides the answers to these questions and more. Leading experts in the field take you through the latest research findings in child and adolescent therapy, discussing how each is relevant to the work of practitioners.\"--Provided by publisher.
Book
Persistence and compliance with osteoporosis therapies among postmenopausal women in the UK Clinical Practice Research Datalink
SummaryGaining full benefits from osteoporosis medications requires long-term treatment. Investigating the real-world persistence of women receiving osteoporosis medications in the UK, we found that most patients stop treatment within a year. To prevent osteoporotic fragility fractures, long-term treatment persistence must be improved.IntroductionPersistence with osteoporosis therapies has historically been poor. To treat this chronic and progressive disease, it is essential that patients receive the full benefit of these medications. We estimated persistence and compliance with osteoporosis therapies in a large sample of postmenopausal women in the UK.MethodsData were obtained from the Clinical Practice Research Datalink for all women aged 50 years and over or women with early menopause, who received at least one prescription in primary care for any licensed osteoporosis therapy between January 1, 2010 and December 31, 2015. Persistence and compliance at 24 months (primary objective) and at 5 years (exploratory objective) were estimated in three patient cohorts: “All Patients,” “Naïve Patients,” and “Drug-Specific.”ResultsThe All Patients cohort included 72,256 women. Persistence with any therapy was 56.1%, 43.6%, 36.4%, and 31.0% at 6, 12, 18, and 24 months, respectively, and 23.2% and 13.1% at 3 years and 5 years, respectively. Patients were generally more persistent and compliant if evaluated from their first exposure to osteoporosis therapy (Naïve Patients cohort). In the drug-specific analysis, 64% of patients receiving denosumab (administered subcutaneously every 6 months) were persistent at 24 months compared with 28% and 23% of those taking oral bisphosphonates and intravenous bisphosphonates, respectively.ConclusionsOnly about one in three patients who received osteoporosis therapy continued to be on treatment after 2 years. There is a need to improve persistence with osteoporosis therapy, especially for high-risk patients
Journal Article
Comparative Adherence and Persistence of Single- and Multiple-Inhaler Triple Therapies Among Patients with Chronic Obstructive Pulmonary Disease in an English Real-World Primary Care Setting
Purpose: Triple therapy comprising a long-acting muscarinic antagonist, long-acting [[beta].sub.2]-agonist and inhaled corticosteroid is recommended for patients with chronic obstructive pulmonary disease (COPD) who continue to experience frequent exacerbations or symptoms whilst receiving dual therapy. Adherence and persistence to multiple-inhaler triple therapy (MITT) is known to be poor. This study assessed comparative adherence to single-inhaler triple therapy (SITT) versus MITT in a real-world setting in England. Patients and Methods: This was a retrospective cohort study using linked primary care (Clinical Practice Research Datalink Aurum) and secondary care (Hospital Episode Statistics [HES] Admitted Patient Care) data to identify patients with COPD who were newly initiated on SITT or MITT between November 2017 and June 2019. Eligible patients were aged [greater than or equal to] 35 years and had a forced expiratory volume in 1 second/forced vital capacity <0.7, linkage to HES and continuous registration with a general practitioner for 12 months preand 6 months post-initiation. Inverse probability of treatment weighting was used to balance baseline characteristics between cohorts. Adherence was measured using the proportion of days covered by days' supply of SITT or MITT prescriptions. Persistence was measured with a gap of >30 days between the end of a prescription and the following refill used to determine non-persistence. Results: Overall, 4080 SITT and 6579 MITT users comprised the study cohort. After weighting, the baseline characteristics between the cohorts were comparable (absolute standardized mean difference <10%). SITT users had significantly higher adherence than MITT users at 6, 12, and 18 months post-initiation (p<0.001 for all comparisons). Median persistence was higher among SITT users than MITT users (5.09 months vs 0.99 months). Conclusion: Patients with COPD in England initiating SITT had significantly better adherence and persistence compared with MITT initiators. These improvements continued at least 18 months following treatment initiation. Keywords: COPD, Clinical Practice Research Datalink, Hospital Episode Statistics, MITT, proportion of days covered, SITT
Journal Article