A chronological map of 308 physical and mental health conditions from 4 million individuals in the English National Health Service.
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ABSTRACT:
SUBMITTER: Kuan V
PROVIDER: S-EPMC6798263 | biostudies-literature | 2019 Jun
REPOSITORIES: biostudies-literature
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A chronological map of 308 physical and mental health conditions from 4 million individuals in the English National Health Service.
Kuan Valerie V Denaxas Spiros S Gonzalez-Izquierdo Arturo A Direk Kenan K Bhatti Osman O Husain Shanaz S Sutaria Shailen S Hingorani Melanie M Nitsch Dorothea D Parisinos Constantinos A CA Lumbers R Thomas RT Mathur Rohini R Sofat Reecha R Casas Juan P JP Wong Ian C K ICK Hemingway Harry H Hingorani Aroon D AD
The Lancet. Digital health 20190520 2
<h4>Background</h4>To effectively prevent, detect, and treat health conditions that affect people during their lifecourse, health-care professionals and researchers need to know which sections of the population are susceptible to which health conditions and at which ages. Hence, we aimed to map the course of human health by identifying the 50 most common health conditions in each decade of life and estimating the median age at first diagnosis.<h4>Methods</h4>We developed phenotyping algorithms a ...[more]
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Project description:BackgroundPrimary care electronic health records (EHR) are widely used to study long-term conditions in epidemiological and health services research. Therefore, it is important to understand how well the recorded prevalence of these conditions in EHRs, compares to other reliable sources overall, and varies by socio-demographic characteristics. We aimed to describe the prevalence and socio-demographic variation of cardiovascular, renal, and metabolic (CRM) and mental health (MH) conditions in a large, nationally representative, English primary care database and compare with prevalence estimates from other population-based studies.MethodsThis was a cross-sectional study using the Clinical Practice Research Datalink (CPRD) Aurum primary care database. We calculated prevalence of 18 conditions and used logistic regression to assess how this varied by age, sex, ethnicity, and socio-economic status. We searched the literature for population prevalence estimates from other sources for comparison with the prevalences in CPRD Aurum.ResultsDepression (16.0%, 95%CI 16.0-16.0%) and hypertension (15.3%, 95%CI 15.2-15.3%) were the most prevalent conditions among 12.4 million patients. Prevalence of most conditions increased with socio-economic deprivation and age. CRM conditions, schizophrenia and substance misuse were higher in men, whilst anxiety, depression, bipolar and eating disorders were more common in women. Cardiovascular risk factors (hypertension and diabetes) were more prevalent in black and Asian patients compared with white, but the trends in prevalence of cardiovascular diseases by ethnicity were more variable. The recorded prevalences of mental health conditions were typically twice as high in white patients compared with other ethnic groups. However, PTSD and schizophrenia were more prevalent in black patients. The prevalence of most conditions was similar or higher in the primary care database than diagnosed disease prevalence reported in national health surveys. However, screening studies typically reported higher prevalence estimates than primary care data, especially for PTSD, bipolar disorder and eating disorders.ConclusionsThe prevalence of many clinically diagnosed conditions in primary care records closely matched that of other sources. However, we found important variations by sex and ethnicity, which may reflect true variation in prevalence or systematic differences in clinical presentation and practice. Primary care data may underrepresent the prevalence of undiagnosed conditions, particularly in mental health.
| S-EPMC10580600 | biostudies-literature
Project description:BackgroundUnderstanding the prevalence of diseases and where it is detected and recorded in healthcare settings is important for planning effective prevention and care provision. We examined inequalities in the prevalence of 205 chronic conditions and in the care setting where the related diagnoses were recorded in the English National Health Service.MethodsWe used data from the Clinical Practice Research Datalink Aurum linked with Hospital Episode Statistics for 12.8 million patients registered with 1406 general practices in 2018. We mapped diagnoses recorded in primary and secondary care in the previous 12 years. We used linear regressions to assess associations of ethnicity, deprivation, and general practice with a diagnosis being recorded in primary care only, secondary care only, or both settings.Results72.65% of patients had at least one diagnosis recorded in any care setting. Most diagnoses were reported only in primary care (62.56%) and a minority only in secondary care (15.24%) or in both settings (22.18%). Black (- 0.08 percentage points (pp)), Asian (- 0.08 pp), mixed (- 0.13 pp), and other ethnicity patients (- 0.31 pp) were less likely than White patients to have a condition recorded. Patients in most deprived areas were 0.27 pp more likely to have a condition recorded (+ 0.07 pp in secondary care only, + 0.10 pp in both primary and secondary care, and + 0.10 pp in primary care only). Differences in prevalence by ethnicity were driven by diagnostic recording in primary care. Higher recording of diagnoses in more deprived areas was consistent across care settings. There were large differences in prevalence and diagnostic recording between general practices after adjusting for patient characteristics.ConclusionsLinked primary and secondary care records support the identification of disease prevalence more comprehensively. There are inequalities in the prevalence and setting of diagnostic recording by ethnicity, deprivation, and providers on average across conditions. Further research should examine inequalities for each specific condition and whether they reflect also differences in access or recording as well as disease burden. Improving recording where needed and making national linked records accessible for research are key to understanding and reducing inequalities in disease prevention and management.
| S-EPMC11613489 | biostudies-literature
Project description:Internationally, there is a wealth of research suggesting that many children and young people experience mental health problems. However, the evidence from low- and middle-income countries and developing nations is generally limited. This scoping review aimed to add to the body of evidence by providing an overview of the available research literature on children and young people's (CYP's) mental health in the English-speaking Caribbean region. Seven key online academic databases and grey literature sources were searched until January 2021. Records were screened against predefined criteria and suitable articles retrieved. Relevant information was then charted and summarized. All stages of the review were informed by expert consultations. Ninety-six articles from 7901 records met the inclusion criteria. Most of the studies were conducted in Jamaica, Trinidad and Tobago and Barbados while fewer studies reported findings from St Lucia, The Bahamas and St Kitts and Nevis. Research funding was not frequently reported, and participants were predominantly recruited in education settings. There was a substantial focus on depressive symptoms and behaviour problems. Little or no research was available for younger children (< 12), complex clinical cases or commonly under-represented groups. Four unique interventions were identified of which one intervention showed no significant impact on CYP. Among the commonly used outcome measures only the Jamaican Youth Checklist (teacher-reported), Beck Depression Inventory-II, Brief Screen for Depression, Trinidad and Tobago Youth Survey and Minnesota Multiphasic Personality Inventory had evidence for psychometric validity within this population. We discuss future directions, implications and recommendations for research, practice, policy and training.
| S-EPMC8719385 | biostudies-literature
Project description:AimsMental health (MH) service users have increased prevalence of chronic physical conditions such as cardio-respiratory diseases and diabetes. Potentially Preventable Hospitalisations (PPH) for physical health conditions are an indicator of health service access, integration and effectiveness, and are elevated in long term studies of people with MH conditions. We aimed to examine whether PPH rates were elevated in MH service users over a 12-month follow-up period more suitable for routine health indicator reporting. We also examined whether MH service users had increased PPH rates at a younger age, potentially reflecting the younger onset of chronic physical conditions.MethodsA population-wide data linkage in New South Wales (NSW), Australia, population 7.8 million. PPH rates in 178 009 people using community MH services in 2016-2017 were compared to population rates. Primary outcomes were crude and age- and disadvantage-standardised annual PPH episode rate (episodes per 100 000 population), PPH day rate (hospital days per 100 000) and adjusted incidence rate ratios (AIRR).ResultsMH service users had higher rates of PPH admission (AIRR 3.6, 95% CI 3.5-3.6) and a larger number of hospital days (AIRR 5.2, 95% CI 5.2-5.3) than other NSW residents due to increased likelihood of admission, more admissions per person and longer length of stay. Increases were greatest for vaccine-preventable conditions (AIRR 4.7, 95% CI 4.5-5.0), and chronic conditions (AIRR 3.7, 95% CI 3.6-3.7). The highest number of admissions and relative risks were for respiratory and metabolic conditions, including chronic obstructive airways disease (AIRR 5.8, 95% CI 5.5-6.0) and diabetic complications (AIRR 5.4, 95% CI 5.1-5.8). One-quarter of excess potentially preventable bed days in MH service users were due to vaccine-related conditions, including vaccine-preventable respiratory illness. Age-related increases in risk occurred earlier in MH service users, particularly for chronic and vaccine-preventable conditions. PPH rates in MH service users aged 20-29 were similar to population rates of people aged 60 and over. These substantial differences were not explained by socio-economic disadvantage.ConclusionsPPHs for physical health conditions are substantially increased in people with MH conditions. Short term (12-month) PPH rates may be a useful lead indicator of increased physical morbidity and less accessible, integrated or effective health care. High hospitalisation rates for vaccine-preventable respiratory infections and hepatitis underline the importance of vaccination in MH service users and suggests potential benefits of prioritising this group for COVID-19 vaccination.
| S-EPMC8061153 | biostudies-literature
Project description:The COVID-19 public health emergency (PHE) caused significant disruptions in the delivery of care, with in-person visits decreasing and telehealth use increasing. We investigated the impact of these changes on mental health services for Medicaid-enrolled adults and youth in Washington State. Among enrollees with existing mental health conditions, the first year of the PHE was associated with a surge in specialty outpatient mental health visits (13% higher for adults and 7% higher for youth), returning to pre-PHE levels in the second year. Conversely, youth with new mental health needs experienced a decline in specialty outpatient visit rates by ∼15% and 37% in the first and second years of the PHE, respectively. These findings indicate that while mental health service use was maintained or improved for established patients, these patterns did not extend to Medicaid-enrolled youth with new mental health needs, potentially due to barriers such as difficulty in finding providers and establishing new patient-provider relationships remotely. To bridge this gap, there is a need for a multi-faceted approach that includes improving service accessibility, enhancing provider availability, and optimizing initial care encounters, whether in-person or virtual, to better support new patients.
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Project description:BackgroundMeasurement of multimorbidity in research is variable, including the choice of the data source used to ascertain conditions. We compared the estimated prevalence of multimorbidity and associations with mortality using different data sources.MethodsA cross-sectional study of SAIL Databank data including 2,340,027 individuals of all ages living in Wales on 01 January 2019. Comparison of prevalence of multimorbidity and constituent 47 conditions using data from primary care (PC), hospital inpatient (HI), and linked PC-HI data sources and examination of associations between condition count and 12-month mortality.ResultsUsing linked PC-HI compared with only HI data, multimorbidity was more prevalent (32.2% versus 16.5%), and the population of people identified as having multimorbidity was younger (mean age 62.5 versus 66.8 years) and included more women (54.2% versus 52.6%). Individuals with multimorbidity in both PC and HI data had stronger associations with mortality than those with multimorbidity only in HI data (adjusted odds ratio 8.34 [95% CI 8.02-8.68] versus 6.95 (95%CI 6.79-7.12] in people with ≥ 4 conditions). The prevalence of conditions identified using only PC versus only HI data was significantly higher for 37/47 and significantly lower for 10/47: the highest PC/HI ratio was for depression (14.2 [95% CI 14.1-14.4]) and the lowest for aneurysm (0.51 [95% CI 0.5-0.5]). Agreement in ascertainment of conditions between the two data sources varied considerably, being slight for five (kappa < 0.20), fair for 12 (kappa 0.21-0.40), moderate for 16 (kappa 0.41-0.60), and substantial for 12 (kappa 0.61-0.80) conditions, and by body system was lowest for mental and behavioural disorders. The percentage agreement, individuals with a condition identified in both PC and HI data, was lowest in anxiety (4.6%) and highest in coronary artery disease (62.9%).ConclusionsThe use of single data sources may underestimate prevalence when measuring multimorbidity and many important conditions (especially mental and behavioural disorders). Caution should be used when interpreting findings of research examining individual and multiple long-term conditions using single data sources. Where available, researchers using electronic health data should link primary care and hospital inpatient data to generate more robust evidence to support evidence-based healthcare planning decisions for people with multimorbidity.
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Project description:How many primary-care encounters are devoted to mental-health conditions compared with physical-health conditions? Here we analyzed Norway's nationwide administrative primary-care records, extracting all doctor-patient encounters occurring during 14 years (2006-2019) for the population aged 0-100 years. Encounters were recorded according to the International Classification of Primary Care. We compared the volume of mental-health encounters against volumes for conditions in multiple different body systems. A total of 4,875,722 patients generated 354,516,291 encounters. One in 9 encounters (11.7%) involved a mental-health condition. Only musculoskeletal conditions accounted for a greater share of primary-care physicians' attention. The volume of mental-health encounters in primary care equaled encounters for infections, cardiovascular and respiratory conditions and exceeded encounters for pain, injuries, metabolic, digestive, skin, urological, reproductive and sensory conditions. Primary-care physicians frequently treat complex mental-health conditions in patients of every age. These physicians may have a more important role in preventing the escalation of mental-health problems than heretofore appreciated.
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Project description:Perinatal mental health disorders are increasingly acknowledged as contributors to adverse maternal outcomes. We analyzed data from the Healthcare Cost and Utilization Project National Inpatient Sample (2016 and 2017) to estimate hospitalization cost, length-of-stay, and severe maternal morbidity associated with perinatal mental health disorders overall, as well as stratified by payer and by specific mental health category. We found that people with mental health disorders had $458 higher costs per delivery hospitalization and 50 percent higher rates of severe maternal morbidity compared with people without mental health disorders. We estimated increased annual delivery hospitalization costs of $102 million in the US among people with perinatal mental health conditions compared with those without. Furthermore, people diagnosed with trauma- or stress-related mental health disorders had even higher rates of hospitalization costs-$825 higher per delivery-and 87 percent higher rates of severe maternal morbidity compared with people without those diagnoses. These findings provide important information for perinatal mental health program feasibility and cost-effectiveness analyses and suggest the need for increased focus on trauma- and stress-related disorders.
| S-EPMC8759410 | biostudies-literature
Project description:ObjectiveTo assess weight and HbA1c changes in the Healthier You: National Health Service Diabetes Prevention Programme (NHS DPP), the largest DPP globally to achieve universal population coverage.Research design and methodsA service evaluation assessed intervention effectiveness for adults with nondiabetic hyperglycemia (HbA1c 42-47 mmol/mol [6.0-6.4%] or fasting plasma glucose 5.5-6.9 mmol/L) between program launch in June 2016 and December 2018, using prospectively collected, national service-level data in England.ResultsBy December 2018, 324,699 people had been referred, 152,294 had attended the initial assessment, and 96,442 had attended at least 1 of 13 group-based intervention sessions. Allowing sufficient time to elapse, 53% attended an initial assessment, 36% attended at least one group-based session, and 19% completed the intervention (attended >60% of sessions). Of the 32,665 who attended at least one intervention session and had sufficient time to finish, 17,252 (53%) completed: intention-to-treat analyses demonstrated a mean weight loss of 2.3 kg (95% CI 2.2, 2.3) and an HbA1c reduction of 1.26 mmol/mol (1.20, 1.31) (0.12% [0.11, 0.12]); completer analysis demonstrated a mean weight loss of 3.3 kg (3.2, 3.4) and an HbA1c reduction of 2.04 mmol/mol (1.96, 2.12) (0.19% [0.18, 0.19]). Younger age, female sex, Asian and black ethnicity, lower socioeconomic status, and normal baseline BMI were associated with less weight loss. Older age, female sex, black ethnicity, lower socioeconomic status, and baseline overweight and obesity were associated with a smaller HbA1c reduction.ConclusionsReductions in weight and HbA1c compare favorably with those reported in recent meta-analyses of pragmatic studies and suggest likely future reductions in participant type 2 diabetes incidence.
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Project description:The aim of this paper was to show that easily interpretable maps of local and national prescribing data, available from open sources, can be used to demonstrate meaningful variations in prescribing performance.The prescription dispensing data from the National Health Service (NHS) Information Centre for the medications metformin hydrochloride and methylphenidate were compared with reported incidence data for the conditions, diabetes and attention deficit hyperactivity disorder, respectively. The incidence data were obtained from the open source general practitioner (GP) Quality and Outcomes Framework. These data were mapped using the Ordnance Survey CodePoint Open data and the data tables stored in a PostGIS spatial database. Continuous maps of spending per person in England were then computed by using a smoothing algorithm and areas whose local spending is substantially (at least fourfold) and significantly (p<0.05) higher than the national average are then highlighted on the maps.NHS data with analysis of primary care prescribing.England, UK.The spatial mapping demonstrates that several areas in England have substantially and significantly higher spending per person on metformin and methyphenidate. North Kent and the Wirral have substantially and significantly higher spending per child on methyphenidate.It is possible, using open source data, to use statistical methods to distinguish chance fluctuations in prescribing from genuine differences in prescribing rates. The results can be interactively mapped at a fine spatial resolution down to individual GP practices in England. This process could be automated and reported in real time. This can inform decision-making and could enable earlier detection of emergent phenomena.
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