Asthma prescribing, ethnicity and risk of hospital admission: an analysis of 35,864 linked primary and secondary care records in East London.
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SUBMITTER: Hull SA
PROVIDER: S-EPMC4989925 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:ObjectivesThe outcomes and experience of care for patients who start renal replacement therapy (RRT) in an unplanned manner are worse than for those who have planned care. The objective of this study was to examine the primary care predictors of unplanned starts to RRT.DesignRetrospective cohort study with linked primary care and hospital data.Setting128 general practices in East London with a combined population of 1 043 346 people.Participants999 consecutive patients starting dialysis at Barts Health National Health Service Trust between September 2014 and August 2017.Primary outcome measuresUnplanned versus a planned start to dialysis among the cohort of 389 patients with a linked primary care record. An unplanned start to dialysis is defined as receiving nephrology care in the low clearance clinic (or equivalent) for less than 90 days. A planned start is defined as access to pre-dialysis counselling and care for at least 90 days prior to commencing dialysis.ResultsThe adjusted logistic regression analysis showed that the most important modifiable risk factors for unplanned dialysis were the absence of a chronic kidney disease (CKD) code in the general practice (GP) record (OR 8.02, 95% CI 3.65 to 17.63) and the absence of prescribed lipid lowering medication (OR 2.37, 95% CI 1.05 to 5.34). Other contributing factors included male gender and a greater number of long-term conditions.ConclusionsImproving CKD coding in primary care and the additional review and clinical scrutiny associated with this may contribute to a further reduction in unplanned RRT rates.
| S-EPMC6596938 | biostudies-literature
Project description:PurposeTo compare sex-specific rates of hospital admission and repeat admission following self-harm between ethnic groups in London and test whether differences persist after adjustment for socio-economic deprivation.MethodsA population-based cohort of all individuals aged over 11 admitted to a general hospital for physical health treatment following self-harm between 2008 and 2018, using administrative Hospital Episode Statistics for all people living in Greater London.ResultsThere were 59,510 individuals admitted to the hospital following self-harm in the 10 year study period, ethnicity data were available for 94% of individuals. The highest rates of self-harm admission and readmission were found in the White Irish group. Rates of admission and readmission were lower in Black and Asian people compared to White people for both sexes at all ages and in all more specific Black and Asian ethnic groups compared to White British. These differences increased with adjustment for socio-economic deprivation. People of Mixed ethnicity had higher rates of readmission. Rates were highest in the 25-49 age group for Black and Mixed ethnicity men, but in under-25 s for all other groups. There were substantial differences in rates within the broader ethnic categories, especially for the Black and White groups.ConclusionIn contrast to earlier UK studies, self-harm rates were not higher in Black or South Asian women, with lower self-harm admission rates seen in almost all ethnic minority groups. Differences in rates by ethnicity were not explained by socio-economic deprivation. Aggregating ethnicity into broad categories masks important differences in self-harm rates between groups.
| S-EPMC8519852 | biostudies-literature
Project description:ObjectivesLinkage of electronic health records (EHRs) to Hospital Episode Statistics (HES)-Office for National Statistics (ONS) mortality data has provided compelling evidence for lower life expectancy in people with severe mental illness. However, linkage error may underestimate these estimates. Using a clinical sample (n=265 300) of individuals accessing mental health services, we examined potential biases introduced through missed matching and examined the impact on the association between clinical disorders and mortality.SettingThe South London and Maudsley NHS Foundation Trust (SLaM) is a secondary mental healthcare provider in London. A deidentified version of SLaM's EHR was available via the Clinical Record Interactive Search system linked to HES-ONS mortality records.ParticipantsRecords from SLaM for patients active between January 2006 and December 2016.Outcome measuresTwo sources of death data were available for SLaM participants: accurate and contemporaneous date of death via local batch tracing (gold standard) and date of death via linked HES-ONS mortality data. The effect of linkage error on mortality estimates was evaluated by comparing sociodemographic and clinical risk factor analyses using gold standard death data against HES-ONS mortality records.ResultsOf the total sample, 93.74% were successfully matched to HES-ONS records. We found a number of statistically significant administrative, sociodemographic and clinical differences between matched and unmatched records. Of note, schizophrenia diagnosis showed a significant association with higher mortality using gold standard data (OR 1.08; 95% CI 1.01 to 1.15; p=0.02) but not in HES-ONS data (OR 1.05; 95% CI 0.98 to 1.13; p=0.16). Otherwise, little change was found in the strength of associated risk factors and mortality after accounting for missed matching bias.ConclusionsDespite significant clinical and sociodemographic differences between matched and unmatched records, changes in mortality estimates were minimal. However, researchers and policy analysts using HES-ONS linked resources should be aware that administrative linkage processes can introduce error.
| S-EPMC7342822 | biostudies-literature
Project description:ObjectivesDental caries is the most common reason for hospital admissions for children aged 6-10 years in England. The prevalence in the experience of hospital admission is not uniform across all populations. This paper reports on the analysis of secondary data on dental hospital episodes for children residing in London, and its association with oral health inequalities.Design, setting and participantsRetrospective, non-identifiable patient data sourced from the Hospital Episode Statistics dataset was analysed. Finished consultant episodes (FCEs) were extracted for children aged 1-19 years, residing in London and admitted with a primary diagnosis of caries between 2015/2016 and 2020/2021.Outcome measuresThe number and rates of FCEs with a primary diagnosis of dental caries for children aged 1-19 years old was analysed for six consecutive financial years (2015/2016 to 2020/2021). To assess oral health inequalities in children experiencing hospital admission due to dental caries, several demographic variables were analysed: deprivation, age, and sex.ResultsBetween the financial years of 2015-2016 and 2020-2021, there were a total of 57 055 hospital admissions for dental caries for children aged 1-19 years (average rate of admission was 465.1 per 100 000 of children). A year-on-year decline was noted between 2015-2016 and 2020-2021. Regression analysis demonstrated clear social gradients with significant oral health inequalities; those from the most deprived areas experienced over two times the number of hospital admissions (58%). Children aged 4-9 years accounted for 68.9% (39 325) for the total dental hospital episodes from 2015-2016 to 2020-2021.ConclusionLondon's year-on-year reduction in hospital admission for dental caries is due to various factors including effective prevention interventions and an effective paediatric clinical care pathway. Sociodemographic factors remain to act as key predictors for hospital admission for child with dental caries. While health service level changes may reduce the number of hospital admissions, persistent child oral health inequalities continue to exist.
| S-EPMC10565295 | biostudies-literature
Project description:Background and Objectives: Appropriate dosing of direct oral anticoagulants (DOACs) is required to avoid under- and overdosing that may precipitate strokes or thromboembolic events and bleedings, respectively. Our objective was to analyze the appropriateness of DOAC dosing according to the summaries of product characteristics (SmPC). Furthermore, determinants for inappropriate prescribing were investigated. Methodology: Retrospective cohort study of hospitalized patients aged ≥60 years with at least one DOAC intake during hospital stay. Descriptive analyses were used to summarize the characteristics of the study population. Chi-square test was used to evaluate differences between DOACs. Binary logistic regression analysis was performed to assess determinants for inappropriate prescribing. Results: For the 772 included patients, inappropriate dosing occurred in 25.0% of hospitalizations with 23.4, 21.9, and 29.7% for dabigatran, rivaroxaban, and apixaban, respectively (p = 0.084). Underdosing was most prevalent for apixaban (24.5%) compared to dabigatran (14.0%) and rivaroxaban (12.8%), p < 0.001. In 67.1% (apixaban), 26.7% (dabigatran), and 51.2% (rivaroxaban) of underdosed DOAC cases according to the SmPC, the dose would be considered appropriate according to the European Heart Rhytm Association (EHRA) guidelines. Overdosing was observed in 4.5% (apixaban), 4.7% (dabigatran), and 7.7% (rivaroxaban) of patients. For all DOACs, our analysis showed an age ≥80 years (p = 0.036), use of apixaban (p = 0.026), DOAC use before hospitalization (p = 0.001), intermediate renal function (p = 0.014), and use of narcotic analgesics (p = 0.019) to be associated with a higher rate of inappropriate prescribing. Undergoing surgery was associated with a lower odds of inappropriate prescribing (p = 0.012). For rivaroxaban, use of medication for hypothyroidism (p = 0.027) and the reduced dose (p < 0.001) were determinants for inappropriate prescribing. Treatment of venous thromboembolism was associated with less errors (p = 0.002). For apixaban, severe renal insufficiency (p < 0.001) and initiation in hospital (p = 0.016) were associated with less and the reduced dose (p < 0.001) with more inappropriate prescribing. No determinants were found in the dabigatran subgroup. Conclusions: Inappropriate DOAC prescribing is frequent with underdosing being the most common drug related problem when using the SmPC as reference. More appropriate prescriptions were found when taking the EHRA guidelines into account. Analysis of determinants of inappropriate prescribing yielded insights in the risk factors associated with inappropriate DOAC prescriptions.
| S-EPMC6218888 | biostudies-literature
Project description:ObjectiveTo describe outcomes within different ethnic groups of a cohort of hospitalised patients with confirmed COVID-19 infection. To quantify and describe the impact of a number of prognostic factors, including frailty and inflammatory markers.SettingFive acute National Health Service Hospitals in east London.DesignProspectively defined observational study using registry data.Participants1737 patients aged 16 years or over admitted to hospital with confirmed COVID-19 infection between 1 January and 13 May 2020.Main outcome measuresThe primary outcome was 30-day mortality from time of first hospital admission with COVID-19 diagnosis during or prior to admission. Secondary outcomes were 90-day mortality, intensive care unit (ICU) admission, ICU and hospital length of stay and type and duration of organ support. Multivariable survival analyses were adjusted for potential confounders.Results1737 were included in our analysis of whom 511 had died by day 30 (29%). 538 (31%) were from Asian, 340 (20%) black and 707 (40%) white backgrounds. Compared with white patients, those from minority ethnic backgrounds were younger, with differing comorbidity profiles and less frailty. Asian and black patients were more likely to be admitted to ICU and to receive invasive ventilation (OR 1.54, (95% CI 1.06 to 2.23); p=0.023 and OR 1.80 (95% CI 1.20 to 2.71); p=0.005, respectively). After adjustment for age and sex, patients from Asian (HR 1.49 (95% CI 1.19 to 1.86); p<0.001) and black (HR 1.30 (95% CI 1.02 to 1.65); p=0.036) backgrounds were more likely to die. These findings persisted across a range of risk factor-adjusted analyses accounting for major comorbidities, obesity, smoking, frailty and ABO blood group.ConclusionsPatients from Asian and black backgrounds had higher mortality from COVID-19 infection despite controlling for all previously identified confounders and frailty. Higher rates of invasive ventilation indicate greater acute disease severity. Our analyses suggest that patients of Asian and black backgrounds suffered disproportionate rates of premature death from COVID-19.
| S-EPMC7813387 | biostudies-literature
Project description:Background: Records of medication prescriptions can be used in conjunction with pharmacy dispensing records to investigate the incidence of adherence, which is defined as observing the treatment plans agreed between a patient and their clinician. Using prescribing records alone fails to identify primary non-adherence; medications not being collected from the dispensary. Using dispensing records alone means that cases of conditions that resolve and/or treatments that are discontinued will be unaccounted for. While using a linked prescribing and dispensing dataset to measure medication non-adherence is optimal, this linkage is not routinely conducted. Furthermore, without a unique common event identifier, linkage between these two datasets is not straightforward.Methods: We undertook a secondary analysis of the Salford Lung Study dataset. A novel probabilistic record linkage methodology was developed matching asthma medication pharmacy dispensing records and primary care prescribing records, using semantic (meaning) and syntactic (structure) harmonization, domain knowledge integration, and natural language feature extraction. Cox survival analysis was conducted to assess factors associated with the time to medication dispensing after the prescription was written. Finally, we used a simplified record linkage algorithm in which only identical records were matched, for a naïve benchmarking to compare against the results of our proposed methodology.Results: We matched 83% of pharmacy dispensing records to primary care prescribing records. Missing data were prevalent in the dispensing records which were not matched - approximately 60% for both medication strength and quantity. A naïve benchmarking approach, requiring perfect matching, identified one-quarter as many matching prescribing records as our methodology. Factors associated with delay (or failure) to collect the prescribed medication from a pharmacy included season, quantity of medication prescribed, previous dispensing history and class of medication. Our findings indicate that over 30% of prescriptions issued were not collected from a dispensary (primary non-adherence).Conclusions: We have developed a probabilistic record linkage methodology matching a large percentage of pharmacy dispensing records with primary care prescribing records for asthma medications. This will allow researchers to link datasets in order to extract information about asthma medication non-adherence.
| S-EPMC7731758 | biostudies-literature
Project description:OBJECTIVE:Agreement between administrative and survey data has been shown to vary by the condition of interest and there is limited research dedicated to parental report of asthma among children. The current study assesses the concordance between parent-reported asthma from the National Health Interview Survey (NHIS) with Medicaid administrative claims data among linkage eligible children from the NHIS. METHODS:Medicaid Analytic eXtract (MAX) files from the Centers for Medicare & Medicaid Services (CMS) (years 2000-2005) were linked to participants of the NHIS (years 2001-2005). Concordance measures were calculated to assess overall agreement between a claims-based asthma diagnosis and a survey-based asthma diagnosis. Structural equation modeling was used to assess the association between demographic, service utilization, and co-occurring conditions factors and agreement. RESULTS:Percent agreement between the two data sources was high (90%) with a prevalence-adjusted bias-adjusted kappa of 0.80 and Cohen's kappa of 0.55. Agreement varied by demographic characteristics, service utilization characteristics, and the presence of allergies and other health conditions. Structural equation modeling results found the presence of a series of co-occurring conditions, namely allergies, resulted in significantly lower agreement after controlling for demographics and service utilization. CONCLUSIONS:There was general agreement between asthma diagnoses reported in the NHIS when compared to medical claims. Discordance was greatest among children with co-occurring conditions.
| S-EPMC6240395 | biostudies-literature
Project description:AIMS: Prescribing for athletes requires an up-to-date knowledge of the World Anti-Doping Agency's list of prohibited substances. As the London 2012 Olympic Games attract athletes from around the world, we review the current guidelines with respect to all medications licensed for ophthalmic use in the United Kingdom. We describe the process that an ophthalmologist can use to check for permissible medications and also highlight treatments that are contraindicated. METHODS: We systematically reviewed all 77 drugs listed in Section 11 of the British National Formulary (Issue 63) for use in the treatment of ophthalmic conditions, and referenced these against the 2012 Prohibited List published by the World Anti-Doping Agency. RESULTS: The majority of ophthalmic preparations are suitable for use in- and out-of-competition. Some preparations, such as glucocorticoids, are prohibited when administered systemically but permitted for topical administration. Beta-blockers are prohibited in-competition and oral carbonic anhydrase inhibitors are prohibited in- and out-of competition. CONCLUSION: The 2012 Prohibited List has important implications for the pharmacological treatment of ophthalmic conditions in athletes. Clinicians prescribing for athletes have a duty to familiarize themselves with the list in order to avoid causing significant damage to their patient's career and reputation.
| S-EPMC3420051 | biostudies-other
Project description:To investigate the performance of parent-reported data in identifying physician-confirmed asthma.Validation study using linkage between the Avon Longitudinal Study of Parents and Children (ALSPAC) and electronic patient records held within the General Practice Research Database (GPRD).Participants were those eligible to participate in ALSPAC who also had a record in the GPRD; this included 765 individuals, just under 4% of ALSPAC-eligible participants. The analysis was based on 141 participants with complete parent-reported asthma data.The main GPRD outcome measure was whether a child had a diagnosis of asthma before they were nine. Parent-reported measures were doctor diagnosis of asthma (before mean age 7.5 years), various outcomes based on wheezing and breathlessness recorded longitudinally between 6 months and 8.5 years. Secondary outcomes were bronchial hyper-responsiveness (BHR), forced expiratory volume in 1 s/forced vital capacity ratio and skin prick test responses.Among the 141 participants with complete parent-reported data, 26 (18%) had an asthma diagnosis before age nine. Using general practitioner (GP)-recorded asthma as the gold standard, the question 'Has a doctor ever diagnosed your child with asthma?' was both sensitive (88.5%) and specific (95.7%). 'Ever wheezed' had the highest sensitivity (100%) but low specificity (60%). More specific definitions were obtained by restricting to those who had wheezed on more than one occasion, experienced frequent wheeze and/or wheezed after the age of 3, but these measures had low sensitivities. BHR only identified 50% of those with a GP-recorded diagnosis.Parental reports of a doctor's diagnosis agree well with a GP-recorded diagnosis. High specificity for asthma can be achieved by using detailed wheezing questions, although these definitions are likely to exclude mild cases of asthma. Our study shows that linkage between observational studies and electronic patient records has the potential to enhance epidemiological research.
| S-EPMC4010849 | biostudies-other