Risk factors for asthma-related hospital and intensive care admissions in children, adolescents and adults: a cohort study using primary and secondary care data.

BACKGROUND: Asthma remains a common cause of hospital admissions across the life course. We estimated the contribution of key risk factors to asthma-related hospital and intensive care unit (ICU) admissions in children, adolescents and adults. METHODS: This was a UK-based cohort study using linked primary care (Clinical Practice Research Datalink Aurum) and secondary care (Hospital Episode Statistics Admitted Patient Care) data. Patients were eligible if they were aged 5 years and older and had been diagnosed with asthma. This included 90 989 children aged 5-11 years, 114 927 adolescents aged 12-17 years and 1 179 410 adults aged 18 years or older. The primary outcome was asthma-related hospital admissions from 1 January 2017 to 31 December 2019. The secondary outcome was asthma-related ICU admissions. Incidence rate ratios adjusted for demographic and clinical risk factors were estimated using negative binomial models. Population attributable fraction (PAF) was estimated for modifiable risk factors. RESULTS: Younger age groups, females and those from ethnic minority and lower socioeconomic backgrounds had an increased risk of asthma-related hospital admissions. Increasing medication burden, including excessive use of short-acting bronchodilators, was also strongly associated with the primary outcome. Similar risk factors were observed for asthma-related ICU admissions. The key potentially modifiable or treatable risk factors were smoking in adolescents and adults (PAF 6.8%, 95% CI 0.9% to 12.3% and 4.3%, 95% CI 3.0% to 5.7%, respectively), and obesity (PAF 23.3%, 95% CI 20.5% to 26.1%), depression (11.1%, 95% CI 9.1% to 13.1%), gastro-oesophageal reflux disease (2.3%, 95% CI 1.2% to 3.4%), anxiety (2.0%, 95% CI 0.5% to 3.6%) and chronic rhinosinusitis (0.8%, 95% CI 0.3% to 1.3%) in adults. CONCLUSIONS: There are significant sociodemographic inequalities in the rates of asthma-related hospital and ICU admissions. Treating age-specific modifiable risk factors should be considered an integral part of asthma management, which could potentially reduce the rate of avoidable hospital admissions.

Effects of ethnic density on the risk of compulsory psychiatric admission for individuals attending secondary care mental health services: evidence from a large-scale study in England.

BACKGROUND: Black, Asian and minority ethnicity groups may experience better health outcomes when living in areas of high own-group ethnic density - the so-called 'ethnic density' hypothesis. We tested this hypothesis for the treatment outcome of compulsory admission. METHODS: Data from the 2010-2011 Mental Health Minimum Dataset (N = 1 053 617) was linked to the 2011 Census and 2010 Index of Multiple Deprivation. Own-group ethnic density was calculated by dividing the number of residents per ethnic group for each lower layer super output area (LSOA) in the Census by the LSOA total population. Multilevel modelling estimated the effect of own-group ethnic density on the risk of compulsory admission by ethnic group (White British, White other, Black, Asian and mixed), accounting for patient characteristics (age and gender), area-level deprivation and population density. RESULTS: Asian and White British patients experienced a reduced risk of compulsory admission when living in the areas of high own-group ethnic density [odds ratios (OR) 0.97, 95% credible interval (CI) 0.95-0.99 and 0.94, 95% CI 0.93-0.95, respectively], whereas White minority patients were at increased risk when living in neighbourhoods of higher own-group ethnic concentration (OR 1.18, 95% CI 1.11-1.26). Higher levels of own-group ethnic density were associated with an increased risk of compulsory admission for mixed-ethnicity patients, but only when deprivation and population density were excluded from the model. Neighbourhood-level concentration of own-group ethnicity for Black patients did not influence the risk of compulsory admission. CONCLUSIONS: We found only minimal support for the ethnic density hypothesis for the treatment outcome of compulsory admission to under the Mental Health Act.

Functional dyspepsia leads to more healthcare utilization in secondary care compared with other functional gastrointestinal disorders.

OBJECTIVE: Functional gastrointestinal disorders (FGIDs) are known to have a significant impact on patients' quality of life and lead to a greater healthcare burden. In this study we aimed to investigate whether this healthcare burden differs among various types of FGIDs in secondary care. METHODS: A retrospective study of consecutive adults with luminal gastrointestinal (GI) diseases in a secondary healthcare gastroenterology clinic was conducted. The frequency of FGIDs and differences in healthcare utilization among different types of FGIDs were explored. RESULTS: Among 1206 patients with luminal GI disease, 442 (36.7%) had FGIDs. FGIDs patients were older (67 y vs 62 y, P < 0.001) with a higher proportion of women (61.8% vs 50.4%, P < 0.001) than those without FGIDs. Functional dyspepsia (FD) was the most common FGIDs (36.9%), followed by irritable bowel syndrome (IBS) (30.3%). A high healthcare burden (defined as over one GI endoscopy or imaging examination over 5 years, or one or more unscheduled visit to general practitioner or emergency department or hospitalization annually) was observed among 53.8% of the FGIDs patients. FD was associated with a high healthcare burden (high vs low burden: 43.7% vs 28.9%, P = 0.001) while IBS was associated with lower healthcare burden (high vs low burden: 25.2% vs 36.3%, P = 0.012). On multivariate analysis, only FD was significantly associated with high healthcare burden (adjusted odds ratio 1.996, 95% confidence interval 1.117-3.567, P = 0.020). CONCLUSION: Compared with other FGIDs, FD was the most common condition in secondary care, and it was associated with the greatest healthcare burden.

Association of socioeconomic deprivation with asthma care, outcomes, and deaths in Wales: A 5-year national linked primary and secondary care cohort study.

BACKGROUND: Socioeconomic deprivation is known to be associated with worse outcomes in asthma, but there is a lack of population-based evidence of its impact across all stages of patient care. We investigated the association of socioeconomic deprivation with asthma-related care and outcomes across primary and secondary care and with asthma-related death in Wales. METHODS AND FINDINGS: We constructed a national cohort, identified from 76% (2.4 million) of the Welsh population, of continuously treated asthma patients between 2013 and 2017 using anonymised, person-level, linked, routinely collected primary and secondary care data in the Secure Anonymised Information Linkage (SAIL) Databank. We investigated the association between asthma-related health service utilisation, prescribing, and deaths with the 2011 Welsh Index of Multiple Deprivation (WIMD) and its domains. We studied 106,926 patients (534,630 person-years), 56.3% were female, with mean age of 47.5 years (SD = 20.3). Compared to the least deprived patients, the most deprived patients had slightly fewer total asthma-related primary care consultations per patient (incidence rate ratio [IRR] = 0.98, 95% CI 0.97-0.99, p-value < 0.001), slightly fewer routine asthma reviews (IRR = 0.98, 0.97-0.99, p-value < 0.001), lower controller-to-total asthma medication ratios (AMRs; 0.50 versus 0.56, p-value < 0.001), more asthma-related accident and emergency (A&E) attendances (IRR = 1.27, 1.10-1.46, p-value = 0.001), more asthma emergency admissions (IRR = 1.56, 1.39-1.76, p-value < 0.001), longer asthma-related hospital stay (IRR = 1.64, 1.39-1.94, p-value < 0.001), and were at higher risk of asthma-related death (risk ratio of deaths with any mention of asthma 1.56, 1.18-2.07, p-value = 0.002). Study limitations include the deprivation index being area based and the potential for residual confounders and mediators. CONCLUSIONS: In this study, we observed that the most deprived asthma patients in Wales had different prescribing patterns, more A&E attendances, more emergency hospital admissions, and substantially higher risk of death. Interventions specifically designed to improve treatment and outcomes for these disadvantaged groups are urgently needed.

Trajectory of excess healthcare consultations, medication use, and work disability in newly diagnosed knee osteoarthritis: a matched longitudinal register-based study.

PURPOSE: To estimate the excess healthcare use and work disability attributable to knee osteoarthritis (OA) in the first 5 years following diagnosis. METHODS: Among individual aged 40-80 years who resided in Skåne on 31st December 2008, we identified those with a main diagnosis of knee OA during 2009-2014 and no previous diagnosis of any OA from 1998 (n = 16,888). We created a comparison cohort matched (1:1) by sex, age, and municipality from individuals with no OA diagnosis (at any site) during 1998-2016. We compared healthcare use and net disability days for 60 months following diagnosis between the two groups. We applied a survival-adjusted regression technique controlling for sociodemographic characteristics as well as pre-diagnosis outcome and comorbidity. RESULTS: The estimated 5-year incremental effects of knee OA per-patient were 16.8 (95% CI: 15.8, 17.7) healthcare consultations, 0.7 (0.4, 1.1) inpatient days, 420 (372, 490) defined daily dose of prescribed medications, and 21.8 (15.2, 30.0) net disability days. Primary care consultations constituted about 73% of the excess healthcare consultations. Most of these incremental effects occurred in the first year after diagnosis. Better survival in the knee OA group accounted for 0.7 (95% CI: 0.5, 0.8) and 1.4 (0.7, 2.6) of the excess healthcare consultations and net disability days, respectively. Both estimated total and incremental resources use were generally greater for women than men with knee OA. CONCLUSION: Knee OA was associated with considerable excess healthcare use and work disability independent of pre-diagnosis resources use, comorbidity, and sociodemographic characteristics.

Healthcare worker attendance during the early stages of the COVID-19 pandemic: A longitudinal analysis of fingerprint-verified data from all public-sector secondary and tertiary care facilities in Bangladesh.

BACKGROUND: The COVID-19 pandemic has overwhelmed hospitals in several areas in high-income countries. An effective response to this pandemic requires health care workers (HCWs) to be present at work, particularly in low- and middle-income countries (LMICs) where they are already in critically low supply. To inform whether and to what degree policymakers in Bangladesh, and LMICs more broadly, should expect a drop in HCW attendance as COVID-19 continues to spread, this study aims to determine how HCW attendance has changed during the early stages of the COVID-19 pandemic in Bangladesh. METHODS: This study analyzed daily fingerprint-verified attendance data from all 527 public-sector secondary and tertiary care facilities in Bangladesh to describe HCW attendance from January 26, 2019 to March 22, 2020, by cadre, hospital type, and geographic division. We then regressed HCW attendance onto fixed effects for day-of-week, month, and hospital, as well as indicators for each of three pandemic periods: a China-focused period (January 11, 2020 (first confirmed COVID-19 death in China) until January 29, 2020), international-spread period (January 30, 2020 (World Health Organization's declaration of a global emergency) until March 6, 2020), and local-spread period (March 7, 2020 (first confirmed COVID-19 case in Bangladesh) until the end of the study period). FINDINGS: On average between January 26, 2019 and March 22, 2020, 34.1% of doctors, 64.6% of nurses, and 70.6% of other health care staff were present for their scheduled shift. HCWs' attendance rate increased with time in 2019 among all cadres. Nurses' attendance level dropped by 2.5% points (95% confidence interval (CI) = -3.2% to -1.8%) and 3.5% points (95% CI = -4.5% to -2.5%) during the international-spread and the local-spread periods of the COVID-19 pandemic, relative to the China-focused period. Similarly, the attendance level of other health care staff declined by 0.3% points (95% CI = -0.8% to 0.2%) and 2.3% points (95% CI = -3.0% to -1.6%) during the international-spread and local-spread periods, respectively. Among doctors, however, the international-spread and local-spread periods were associated with a statistically significant increase in attendance by 3.7% points (95% CI = 2.5% to 4.8%) and 4.9% points (95% CI = 3.5% to 6.4%), respectively. The reduction in attendance levels across all HCWs during the local-spread period was much greater at large hospitals, where the majority of COVID-19 testing and treatment took place, than that at small hospitals. CONCLUSIONS: After a year of significant improvements, HCWs' attendance levels among nurses and other health care staff (who form the majority of Bangladesh's health care workforce) have declined during the early stages of the COVID-19 pandemic. This finding may portend an even greater decrease in attendance if COVID-19 continues to spread in Bangladesh. Policymakers in Bangladesh and similar LMICs should undertake major efforts to achieve high attendance levels among HCWs, particularly nurses, such as by providing sufficient personal protective equipment as well as monetary and non-monetary incentives.

Investigating the association between ethnicity and health outcomes in SARS-CoV-2 in a London secondary care population.

BACKGROUND: Black, Asian and minority ethnic (BAME) populations are emerging as a vulnerable group in the severe acute respiratory syndrome coronavirus disease (SARS-CoV-2) pandemic. We investigated the relationship between ethnicity and health outcomes in SARS-CoV-2. METHODS AND FINDINGS: We conducted a retrospective, observational analysis of SARS-CoV-2 patients across two London teaching hospitals during March 1 -April 30, 2020. Routinely collected clinical data were extracted and analysed for 645 patients who met the study inclusion criteria. Within this hospitalised cohort, the BAME population were younger relative to the white population (61.70 years, 95% CI 59.70-63.73 versus 69.3 years, 95% CI 67.17-71.43, p<0.001). When adjusted for age, sex and comorbidity, ethnicity was not a predictor for ICU admission. The mean age at death was lower in the BAME population compared to the white population (71.44 years, 95% CI 69.90-72.90 versus, 77.40 years, 95% CI 76.1-78.70 respectively, p<0.001). When adjusted for age, sex and comorbidities, Asian patients had higher odds of death (OR 1.99: 95% CI 1.22-3.25, p<0.006). CONCLUSIONS: BAME patients were more likely to be admitted younger, and to die at a younger age with SARS-CoV-2. Within the BAME cohort, Asian patients were more likely to die but despite this, there was no difference in rates of admission to ICU. The reasons for these disparities are not fully understood and need to be addressed. Investigating ethnicity as a clinical risk factor remains a high public health priority. Studies that consider ethnicity as part of the wider socio-cultural determinant of health are urgently needed.

Comparing health status between patients with COPD in primary, secondary and tertiary care.

In this study, we compare health status between COPD patients treated in three different care levels in the Netherlands and assess determinants that influence their health status. We applied the Nijmegen Clinical Screening Instrument to measure eight health status subdomains in primary (n = 289), secondary (n = 184) and tertiary care (n = 433) COPD patient cohorts. Proportions of patients with severe problems in ≥3 subdomains are 47% in primary, 71% in secondary and 94% in tertiary care. Corrected for patient characteristics, differences between the care levels are statistically significant for nearly all health status subdomains. The pooled cohort data show female sex, age, FEV1 % predicted and BMI to be determinants of one or more subdomains. We conclude that the proportion of COPD patients with severe health status problems is substantial, not just in tertiary care but also in primary and secondary care. Use of detailed health status information may support patient-tailored COPD care.

The quality of e-fit notes issued in secondary care.

BACKGROUND: Few data are available on the pattern of use of fit notes issued in secondary care settings. AIMS: To evaluate the pattern and quality of e-fit notes issued in an NHS Trust. METHODS: Anonymized data on patients admitted to Guy's and St Thomas' NHS Foundation Trust (London, UK) who had an e-fit note issued from 1 January to 31 August 2017 were analysed using descriptive statistical methods. Thematic analysis was used to group the free-text comments into distinct categories and themes. RESULTS: A total of 815 fit notes were issued during the study period. A total of 659 (81%) fit notes advised that patients were 'not fit' for work, whilst 156 (19%) advised that they 'may be fit' for work. The specialty with the highest proportion of patients assessed as may be fit was plastic surgery 46/104 (44%), whilst the lowest was ear, nose and throat surgery 0/57 (0%). The majority 151/156 (97%) of fit notes which advised that patients may be fit for work used the tick-box sections on the fit note to recommend work modifications. Of the free-text comments in section 4 of the 'may be fit' e-fit notes issued, 91/114 (80%) were related to the functional ability of patients. CONCLUSIONS: Our study suggests that doctors in secondary care are more willing to use the 'may be fit' option on the fit note than primary care practitioners. Most fit notes, which advised that a patient may be fit for work, suggested workplace modifications.

High prevalence of COVID-19-associated diabetic ketoacidosis in UK secondary care.

We aim to describe the prevalence of diabetic ketoacidosis (DKA) in individuals admitted to a single centre with COVID-19. We identified 218 individuals hospitalised with COVID-19, of these four fulfilled criteria for DKA (4/218, 1.8%). We conclude DKA is common and severe in individuals hospitalised with COVID-19.

Reorganising dermatology care: predictors of the substitution of secondary care with primary care.

BACKGROUND: The substitution of healthcare is a way to control rising healthcare costs. The Primary Care Plus (PC+) intervention of the Dutch 'Blue Care' pioneer site aims to achieve this feat by facilitating consultations with medical specialists in the primary care setting. One of the specialties involved is dermatology. This study explores referral decisions following dermatology care in PC+ and the influence of predictive patient and consultation characteristics on this decision. METHODS: This retrospective study used clinical data of patients who received dermatology care in PC+ between January 2015 and March 2017. The referral decision following PC+, (i.e., referral back to the general practitioner (GP) or referral to outpatient hospital care) was the primary outcome. Stepwise logistic regression modelling was used to describe variations in the referral decisions following PC+, with patient age and gender, number of PC+ consultations, patient diagnosis and treatment specialist as the predicting factors. RESULTS: A total of 2952 patients visited PC+ for dermatology care. Of those patients with a registered referral, 80.2% (N = 2254) were referred back to the GP, and 19.8% (N = 558) were referred to outpatient hospital care. In the multivariable model, only the treating specialist and patient's diagnosis independently influenced the referral decisions following PC+. CONCLUSION: The aim of PC+ is to reduce the number of referrals to outpatient hospital care. According to the results, the treating specialist and patient diagnosis influence referral decisions. Therefore, the results of this study can be used to discuss and improve specialist and patient profiles for PC+ to further optimise the effectiveness of the initiative.

Secondary care specialist visits made by children and young people prescribed antidepressants in primary care: a descriptive study using the QResearch database.

BACKGROUND: Antidepressants may be used to manage a number of conditions in children and young people including depression, anxiety, and obsessive-compulsive disorder. UK guidelines for the treatment of depression in children and young people recommend that antidepressants should only be initiated following assessment and diagnosis by a child and adolescent psychiatrist. The aim of this study was to summarise visits to mental health specialists and indications recorded around the time of antidepressant initiation in children and young people in UK primary care. METHODS: The study used linked English primary care electronic health records and Hospital Episode Statistics secondary care data. The study included 5-17-year-olds first prescribed antidepressants between January 2006 and December 2017. Records of visits to paediatric or psychiatric specialists and potential indications (from a pre-specified list) were extracted. Events were counted if recorded less than 12 months before or 6 months after the first antidepressant prescription. Results were stratified by first antidepressant type (all, selective serotonin reuptake inhibitors (SSRIs), tricyclic and related antidepressants) and by age group (5-11 years, 12-17 years). RESULTS: In total, 33,031 5-17-year-olds were included. Of these, 12,149 (37%) had a record of visiting a paediatrician or a psychiatric specialist in the specified time window. The majority of recorded visits (7154, 22%) were to paediatricians. Of those prescribed SSRIs, 5463/22,130 (25%) had a record of visiting a child and adolescent psychiatrist. Overall, 17,972 (54%) patients had a record of at least one of the pre-specified indications. Depression was the most frequently recorded indication (12,501, 38%), followed by anxiety (4155, 13%). CONCLUSIONS: The results suggest many children and young people are being prescribed antidepressants without the recommended involvement of a relevant specialist. These findings may justify both greater training for GPs in child and adolescent mental health and greater access to specialist care and non-pharmacological treatments. Further research is needed to explore factors that influence how and why GPs prescribe antidepressants to children and young people and the real-world practice barriers to adherence to clinical guidelines.

Can cluster analyses of linked healthcare data identify unique population segments in a general practice-registered population?

BACKGROUND: Population segmentation is useful for understanding the health needs of populations. Expert-driven segmentation is a traditional approach which involves subjective decisions on how to segment data, with no agreed best practice. The limitations of this approach are theoretically overcome by more data-driven approaches such as utilisation-based cluster analysis. Previous explorations of using utilisation-based cluster analysis for segmentation have demonstrated feasibility but were limited in potential usefulness for local service planning. This study explores the potential for practical application of using utilisation-based cluster analyses to segment a local General Practice-registered population in the South Wales Valleys. METHODS: Primary and secondary care datasets were linked to create a database of 79,607 patients including socio-demographic variables, morbidities, care utilisation, cost and risk factor information. We undertook utilisation-based cluster analysis, using k-means methodology to group the population into segments with distinct healthcare utilisation patterns based on seven utilisation variables: elective inpatient admissions, non-elective inpatient admissions, outpatient first & follow-up attendances, Emergency Department visits, GP practice visits and prescriptions. We analysed segments post-hoc to understand their morbidity, risk and demographic profiles. RESULTS: Ten population segments were identified which had distinct profiles of healthcare use, morbidity, demographic characteristics and risk attributes. Although half of the study population were in segments characterised as 'low need' populations, there was heterogeneity in this group with respect to variables relevant to service planning - e.g. settings in which care was mostly consumed. Significant and complex healthcare need was a feature across age groups and was driven more by deprivation and behavioural risk factors than by age and functional limitation. CONCLUSIONS: This analysis shows that utilisation-based cluster analysis of linked primary and secondary healthcare use data for a local GP-registered population can segment the population into distinct groups with unique health and care needs, providing useful intelligence to inform local population health service planning and care delivery. This segmentation approach can offer a detailed understanding of the health and care priorities of population groups, potentially supporting the integration of health and care, reducing fragmentation of healthcare and reducing healthcare costs in the population.

Trends in disease incidence and survival and their effect on mortality in Scotland: nationwide cohort study of linked hospital admission and death records 2001-2016.

OBJECTIVES: Identify causes and future trends underpinning Scottish mortality improvements and quantify the relative contributions of disease incidence and survival. DESIGN: Population-based study. SETTING: Linked secondary care and mortality records across Scotland. PARTICIPANTS: 1 967 130 individuals born between 1905 and 1965 and resident in Scotland from 2001 to 2016. MAIN OUTCOME MEASURES: Hospital admission rates and survival within 5 years postadmission for 28 diseases, stratified by sex and socioeconomic status. RESULTS: 'Influenza and pneumonia', 'Symptoms and signs involving circulatory and respiratory systems' and 'Malignant neoplasm of respiratory and intrathoracic organs' were the hospital diagnosis groupings associated with most excess deaths, being both common and linked to high postadmission mortality. Using disease trends, we modelled a mean mortality HR of 0.737 (95% CI 0.730 to 0.745) from one decade of birth to the next, equivalent to a life extension of ~3 years per decade. This improvement was 61% (30%-93%) accounted for by improved disease survival after hospitalisation (principally cancer) with the remainder accounted for by lowered hospitalisation incidence (principally heart disease and cancer). In contrast, deteriorations in infectious disease incidence and survival increased mortality by 9% (~3.3 months per decade). Disease-driven mortality improvements were slightly greater for men than women (due to greater falls in disease incidence), and generally similar across socioeconomic deciles. We project mortality improvements will continue over the next decade but slow by 21% because much progress in disease survival has already been achieved. CONCLUSION: Morbidity improvements broadly explain observed mortality improvements, with progress on prevention and treatment of heart disease and cancer contributing the most. The male-female health gaps are closing, but those between socioeconomic groups are not. Slowing improvements in morbidity may explain recent stalling in improvements of UK period life expectancies. However, these could be offset if we accelerate improvements in the diseases accounting for most deaths and counteract recent deteriorations in infectious disease.

Respiratory tract infection-related healthcare utilisation in children with Down's syndrome.

PURPOSE: Children with Down's syndrome (DS) are prone to respiratory tract infections (RTIs) due to anatomical variation, immune system immaturity and comorbidities. However, evidence on RTI-related healthcare utilisation, especially in primary care, is incomplete. In this retrospective cohort study, we use routinely collected primary and secondary care data to quantify RTI-related healthcare utilisation in children with DS and matched controls without DS. METHODS: Retrospective cohort study of 992 children with DS and 4874 matched controls attending English general practices and hospitals as identified in Clinical disease research using LInked Bespoke studies and Electronic health Records (CALIBER) from 1997 to 2010. Poisson regression was used to calculate consultation, hospitalisation and prescription rates, and rate ratios. Wald test was used to compare risk of admission following consultation. The Wilcoxon rank-sum test was used to compare length of stay by RTI type and time-to-hospitalisation. RESULTS: RTI-related healthcare utilisation is significantly higher in children with DS than in controls in terms of GP consultations (adjusted RR 1.73; 95% CI 1.62-1.84), hospitalisations (adjusted RR 5.70; 95% CI 4.82-6.73), and antibiotic prescribing (adjusted RR 2.34; 95% CI 2.19-2.49). Two percent of children with DS presenting for an RTI-related GP consultation were subsequently admitted for an RTI-related hospitalisation, compared to 0.7% in controls. CONCLUSIONS: Children with DS have higher rates of GP consultations, hospitalisations and antibiotic prescribing compared to controls. This poses a significant burden on families. Further research is recommended to characterise healthcare behaviours and clinical decision-making, to optimise care for this at risk group.

Effect of the dr. Bart application on healthcare use and clinical outcomes in people with osteoarthritis of the knee and/or hip in the Netherlands; a randomized controlled trial.

OBJECTIVE: To evaluate the short-term effects of use of the dr. Bart app, compared to usual care, on the number of secondary health care consultations and clinical outcomes in people with knee/hip OA in the Netherlands. METHOD: A randomized controlled design involving participants ≥50 years with self-reported knee and/or hip OA recruited from the community. The number of secondary health care consultations (primary outcome) and secondary outcomes were assessed at baseline, 3 and 6 months via online questionnaires. Data were analyzed using longitudinal mixed models, corrected for baseline values. Due to the design of this study, blinding of participants and researchers was not possible. RESULTS: In total, 427 eligible participants were allocated to either the dr. Bart group (n = 214) or usual care (n = 213). We found no difference between groups in the number of secondary (i.e., orthopaedic surgeon, rheumatologist, or physician assistant) health care consultations (incidence rate ratio (IRR) 1.20 (95% CI: 0.67; 2.19)). We found positive treatment effects of the dr. Bart app on symptoms (2.6 (95% CI: 0.4; 4.9)), pain (3.5 (95% CI: 0.9; 6.0)), and activities of daily living (2.9 (95% CI: 0.2; 5.6)) on a 0-100 scale, higher score indicating less complaints, but not in any other secondary outcome. CONCLUSION: The dr. Bart app did not change the number of secondary health care consultations compared to usual care. However, we found small positive effects (not clinically relevant) on pain, symptoms, and activities of daily living in people with knee/hip OA. TRIAL REGISTRATION: Dutch Trial Register (Trial Number NTR6693/NL6505) (https://www.trialregister.nl/trial/6505).

The use of health care services in the Great Recession: evaluating inequalities in the Spanish context.

OBJECTIVE: To analyse the effect of the Great Recession (2008) on primary care (PC) and secondary care (SC) inequalities in Spain. METHOD: Repeated cross-sectional study using Spanish Health Surveys from 2001 to 2017 (n=139,566). Prevalence of PC and SC utilization were calculated standardized by age. Chi square tests for trend were conducted to explore the evolution. We performed logistic regression analyses adjusted by the Andersen's model of demand for care to explore inequalities prior to, during and following the recession. All the analyses were stratified by sex. RESULTS: Healthcare use trends changed from a rapid increase in the pre-recession period to a plateau during the recession and a decrease in the post-recession period. Healthcare use was higher in women (PC: 15.8% to 32.5%; SC: 8.2% to 16.2%) than in men (PC: 11.3% to 24.1%; SC: 5.4% to 11.6%) and the gender gap increased. During the recession the likelihood of PC use was higher in disadvantaged groups, while SC had greater usage amongst more advantaged social groups. Inequalities in SC use increased during the recession and could not be attributed to factors of need. CONCLUSIONS: Healthcare use trends changed as a result of the recession. There are socioeconomic inequalities in the use of PC and SC in Spain, which increased in secondary care, during the recession and in the post-recession period. It is necessary to take into account socioeconomic determinants in health planning, in order to achieve equity in healthcare services.

Prevalence and management of diabetic neuropathy in secondary care in Qatar.

AIMS: Diabetic neuropathy (DN) is a "Cinderella" complication, particularly in the Middle East. A high prevalence of undiagnosed DN and those at risk of diabetic foot ulceration (DFU) is a major concern. We have determined the prevalence of DN and its risk factors, DFU, and those at risk of DFU in patients with type 2 diabetes mellitus (T2DM) in secondary care in Qatar. MATERIALS AND METHODS: Adults with T2DM were randomly selected from the two National Diabetes Centers in Qatar. DN was defined by the presence of neuropathic symptoms and a vibration perception threshold (VPT) ≥ 15 V. Participants with a VPT ≥ 25 V were categorized as high risk for DFU. Painful DN was defined by a DN4 score ≥4. Logistic regression analysis was used to identify predictors of DN. RESULTS: In 1082 adults with T2DM (age 54 ± 11 years, duration of diabetes 10.0 ± 7.7 years, 60.6% males), the prevalence of DN was 23.0% (95% CI, 20.5%-25.5%) of whom 33.7% (95% CI, 27.9%-39.6%) were at high risk of DFU, and 6.3% had DFU; 82.0% of the patients with DN were previously undiagnosed. The prevalence of DN increased with age and duration of diabetes and was associated with poor glycaemic control (HbA1c ≥ 9%) AOR = 2.1 (95% CI, 1.3-3.2), hyperlipidaemia AOR = 2.7 (95% CI, 1.5-5.0), and hypertension AOR = 2.0 (95% CI, 1.2-3.4). CONCLUSIONS: Despite DN affecting 23% of adults with T2DM, 82% had not been previously diagnosed with one-third at high risk for DFU. This argues for annual screening and identification of patients with DN. Furthermore, we identify hyperglycaemia, hyperlipidaemia, and hypertension as predictors of DN.

Incidence of injuries in Norway: linking primary and secondary care data.

Aims: Most studies of injury incidence underestimate the total burden of injury, as they do not include injuries treated in primary care. The aim of this study was to measure the total incidence of medically treated injuries in Norway. We further investigated the epidemiology of injuries treated in primary and secondary care. Methods: We collected individual-level data on injury diagnoses from the Norwegian Patient Registry and the national registry dataset for reimbursement of primary care providers for the period 2009-2014, and estimated the annual incidence of patients registered with an injury diagnosis in either or both of these registries. We also converted ICD-10 codes in secondary care into ICPC-2 codes to compare the types of injuries treated in primary and secondary care. Results: The annual incidence of medically treated injuries in Norway was 125 patients per 1000 inhabitants. Fifty-five per cent of injured patients received treatment exclusively in primary care. We observed stable time trends over the six-year period. Incidence rates were higher in primary care for the youngest children and in middle adulthood, but were higher in secondary care for older people. Overall, injury incidence was higher for men, but women became more injury prone with age. We only observed this gender reversal in secondary care. With the exception of fractures, all injury types were predominantly treated in primary care. Conclusions: A substantial proportion of injured patients in Norway are treated exclusively in primary care. The demographic profile of these patients differs from those treated in secondary care.