Emergency hospital admissions for asthma and access to primary care: cross-sectional analysis

Clinical reasoning amongst paramedics using nebulised β₂ agonists to treat acute asthma exacerbations: a qualitative study

The heterogeneous nature of asthma results in a wide range of presentations during exacerbation. Despite UK pre-hospital management guidelines focusing on β₂ agonists, variables such as cause, severity, underlying health, comorbidities, and drug side effects can often make emergency treatment optimisation difficult. This article examines paramedics' methods of observing, perceiving, interpreting, and treating asthma with β₂ agonists, often acting on limited information in rapidly evolving situations. We recruited paramedics from a single UK National Health Service ambulance Trust for qualitative semi-structured interviews. Responses underwent framework analysis to identify data similarities and differences. Fifteen qualitative interviews with paramedics revealed three main themes affecting patient management: clinician experience of presentation, adaptation of patient management approaches, and severity of side effects. Paramedics felt their ability to manage various asthma presentations was enhanced through guideline adaptation based on their own clinical experience and understanding of β₂ agonist side effects, allowing tailored responses based on a set of reinforcing factors. Inductive analysis revealed additional complexities within these themes, such as anxiety and diabetes, which may influence β₂ agonist administration and result in multiple care pathways being initiated during exacerbation. Paramedic care mirrors asthma's complexity, accounting for a range of characteristics. A dynamic, critically thought approach enables patient management to be based on the presenting conditions rather than strict adherence to a single algorithm. Comprehending the complexities and variables in treatment can be crucial to how paramedics rationalise their treatment and optimise the care provided.

Personalised management and supporting individuals to live with their asthma in a primary care setting

INTRODUCTION

Complementing recognition of biomedical phenotypes, a primary care approach to asthma care recognizes diversity of disease, health beliefs, and lifestyle at a population and individual level.

AREAS COVERED

We review six aspects of personalized care particularly pertinent to primary care management of asthma: personalizing support for individuals living with asthma; targeting asthma care within populations; managing phenotypes of wheezy pre-school children; personalizing management to the individual; meeting individual preferences for provision of asthma care; optimizing digital approaches to enhance personalized care.

EXPERT OPINION

In a primary care setting, personalized management and supporting individuals to live with asthma extend beyond the contemporary concepts of biological phenotypes and pharmacological 'treatable traits' to encompass evidence-based tailored support for self-management, and delivery of patient-centered care including motivational interviewing. It extends to how we organize clinical practiceand the choices provided in mode of consultation. Diagnostic uncertainty due to recognition of phenotypes of pre-school wheeze remains a challenge for primary care. Digital health can support personalized management, but there are concerns about increasing inequities. This broad approach reflects the traditionally holistic ethos of primary care ('knowing their patients and understanding their communities'), but the core concepts resonate with all healthcare.

Primary health care utilization and hospital readmission in children with asthma: a multi-site linked data cohort study

OBJECTIVES

To (1) describe primary health care utilization and (2) estimate the effect of primary care early follow-up, continuity, regularity, frequency, and long consultations on asthma hospital readmission, including secondary outcomes of emergency (ED) presentations, asthma preventer adherence, and use of rescue oral corticosteroids within 12 months.

METHODS

An Australian multi-site cohort study of 767 children aged 3-18 years admitted with asthma between 2017 and 2018, followed up for at least 12 months with outcome and primary care exposure data obtained through linked administrative datasets. We estimated the effect of primary care utilization through a modified Poisson regression adjusting for child age, asthma severity, socioeconomic status and self-reported GP characteristics.

RESULTS

The median number of general practitioner (GP) consultations, unique GPs and clinics visited was 9, 5, and 4, respectively. GP care was irregular and lacked continuity, only 152 (19.8%) children visited their usual GP on more than 60% of occasions. After adjusting for confounders, there was overall weak indication of effects due to any of the exposures. Increased frequency of GP visits was associated with reduced readmissions (4-14 visits associated with risk ratio of 0.71, 95% CI 0.50-1.00, p = 0.05) and ED presentations (>14 visits associated risk ratio 0.62, 95% CI 0.42-0.91, p = 0.02).

CONCLUSIONS

Our study demonstrates that primary care use by children with asthma is often irregular and lacking in continuity. This highlights the importance of improving accessibility, consistency in care, and streamlining discharge communication from acute health services.

Preferences for support in managing symptoms of an asthma flare-up: a pilot study of a discrete choice experiment

Objective: Information on the preferences of people with asthma for support in managing a flare-up can inform service design which may facilitate appropriate help-seeking. To date, little is known about support preferences for managing a flare-up. The aim of this study was to develop and pilot a discrete choice experiment (DCE) to elicit the preferences of people with asthma with regards to support in managing a flare-up.Methods: Steps in developing the DCE included identification and selection of attributes and levels of the support services, construction of choice tasks, experimental design, construction of DCE instrument, and pretest (n=16) and pilot (n=38) studies of the DCE instrument. A multinomial logit model was used to examine the strength and direction of the six attributes in the pilot study.Results: Our results indicate that from a patient perspective, having a healthcare professional that listens to their concerns was the most valued attribute of support in asthma flare-up management. The other features of support valued by participants were timely access to consultation, a healthcare professional with knowledge of their patient history, a specialist doctor and face-to-face communication. Having a written action plan was the least valued attribute.Conclusions: Our findings suggest patient preference for a model of support in managing their symptoms which includes timely, face-to-face access to a healthcare professional that knows them and listens to their concerns. The findings of the pilot study need to be verified with a larger sample and using models to account for preference heterogeneity.

Exploring gaps and opportunities in primary care following an asthma hospital admission: a multisite mixed-methods study of three data sources

OBJECTIVE

Explore gaps and opportunities in primary care for children following a hospital admission for asthma.

DESIGN

Exploratory mixed-methods, using linked hospital and primary care administration data.

SETTING

Eligible children, aged 3-18 years, admitted to one of three hospitals in Victoria, Australia between 2017 and 2018 with a clinical diagnosis of asthma.

RESULTS

767 caregivers of eligible children participated, 39 caregivers completed a semistructured interview and 277 general practitioners (GPs) caring for 360 children completed a survey. Over 90% (n=706) of caregivers reported their child had a regular GP. However, few (14.1%, n=108) attended a GP in the 24 hours prior to index admission or in the 7 days after (35.8%, n=275). Children readmitted for asthma (34.2%, n=263), compared with those not readmitted (65.8%, n=504), were less likely to have visited a GP in the non-acute phase of their asthma in the 12 months after index admission (22.1% vs 42.1%, respectively), and their GP was more likely to report not knowing the child had an asthma admission (52.8% vs 39.2%, respectively). Fewer GPs reported being extremely confident managing children with poorly controlled asthma (11.9%, n=43) or post-discharge (16.7%, n=60), compared with children with well-controlled asthma (36.4%, n=131), with no difference by child readmission status.

CONCLUSIONS

Given the exploratory design and descriptive approach, it is unknown if the differences by child readmission status have any causal relationship with readmission. Nonetheless, improving preventative patterns of primary care visits, timely communication between hospitals and primary care providers, and guideline concordant care by GPs are needed.

Implementation of Coach McLungsSM into primary care using a cluster randomized stepped wedge trial design

Background

Asthma is a prevalent chronic disease that is difficult to manage and associated with marked disparities in outcomes. One promising approach to addressing disparities is shared decision making (SDM), a method by which the patient and provider cooperatively make a decision about asthma care. SDM is associated with improved outcomes for patients; however, time constraints and staff availability are noted implementation barriers. Use of health information technology (IT) solutions may facilitate the utilization of SDM. Coach McLungs^SM is a collaborative web-based application that involves pediatric patients, their caregivers, and providers in a personalized experience while gathering patient-reported data. Background logic provides decision support so both audiences can develop a well-informed treatment plan together. The goal of this study is to evaluate the implementation of the Coach McLungs^SM intervention into primary care.

Methods

Implementation will be evaluated using a stepped wedge randomized control study design at 21 pediatric and family medicine practices within a large, integrated, nonprofit healthcare system. We will measure changes in emergency department visits, hospitalizations, and oral steroid use, which serve as surrogate measures for patient-centered asthma outcomes. We will use a generalized linear mixed models with logit link to test the hypothesis for the reduction in exacerbation rates specifying the fixed effects of intervention and time and random effects for practice and practice*time. This design achieves 84% power to detect the hypothesized effect size difference of 10% in overall exacerbation between control (40%) and intervention (30%) periods (two-sided, p = 0.05). Implementation will be guided using the Expert Recommendations for Implementing Change (ERIC), a compilation of implementation strategies, and evaluated using the CFIR (Consolidated Framework for Implementation Research) and RE-AIM (Reach Effectiveness, Adoption, Implementation, Maintenance).

Discussion

We anticipate that a tailored implementation of Coach McLungs^SM across diverse primary care practices will lead to a decrease in emergency department visits, hospitalizations, and oral steroid use for patients in the intervention group as compared to the control condition.

Trial Registration: Clincaltrials.gov, NCT05059210. Registered 28 September 2021, https://www.clinicaltrials.gov/ct2/show/NCT05059210

Supplementary Information

The online version contains supplementary material available at 10.1186/s12911-022-02030-1.

Trends and predictors of hospitalization after emergency department asthma visits among U.S. Adults, 2006-2014

Background: Asthma hospitalizations are an ambulatory care-sensitive condition; a majority originate in emergency departments (EDs).Objective: Describe trends and predictors of adult asthma hospitalizations originating in EDs.Methods: Observational study of ED visits resulting in hospitalization using a nationally representative sample. We tested trend in hospitalization rates from 2006 to 2014 using logistic regression, then assessed the association between hospitalization rates and patient and hospital characteristics using hierarchical multivariable regression accounting for hospital-level clustering.Results: Total ED asthma visits increased 15% from 2006 to 2014, from 1.06 to 1.22 million, while the likelihood of hospitalization decreased (20.9-18.2%, p < 0.01). Adjusting for increased asthma prevalence, ED visit rates and hospitalization rates decreased by 10 and 21%, respectively. Hospitalization was independently associated with older age, female gender (OR = 1.23, 95% CI 1.20-1.26), higher Charlson score (OR = 1.99, 95% CI 1.97-2.01), Medicaid (OR = 1.05, 95% CI 1.01-1.08) and Medicare (OR = 1.26, 95% CI 1.22-1.31) insurance, and trauma centers (OR = 1.34, 95% CI 1.12-1.60). Hospitalization was less likely for uninsured visits (OR = 0.7, 95% CI 0.67-0.73), lower income areas (OR = 0.89, 95% CI 0.85-0.93), non-metropolitan teaching hospitals (OR = 0.83, 95% CI 0.71-0.96), Midwestern (OR = 0.84, 95% CI 0.69-1.01) or Western regions (OR 0.69, 95% CI 0.56-0.83). Unmeasured hospital-specific effects account for 15.8% of variability in hospital admission rates after adjusting for patient and hospital factors.Conclusions: Total asthma ED visits increased, but prevalence-adjusted ED visits, and ED hospitalization rates have declined. Uninsured patients have disproportionately more ED visits but 30% lower odds of hospitalization. Substantial variation implies unmeasured clinical, social and environmental factors accounting for hospital-specific differences in hospitalization.

Asthma admission rates and patterns of salbutamol and inhaled corticosteroid prescribing in England from 2013 to 2017

Asthma exacerbations are a common reason for hospital admission. We sought to identify whether patterns of inhaler prescribing are significantly associated with regional asthma admission rates. Asthma admission rates were obtained for English Clinical Commissioning Group (CCG) regions from 2013/2014 to 2016/2017. Raw prescribing data were obtained from OpenPrescribing.net, based on monthly general practice-level data published by the National Health Service Business Services Authority. Data were analysed using a linear mixed effects model. The ratio of salbutamol to inhaled corticosteroid prescriptions within a CCG was positively associated with asthma admission rates, independently of median age, asthma prevalence and socioeconomic deprivation.

Associations between structures and resources of primary care at the district level and health outcomes: a case study of diabetes mellitus care in Thailand

Background

The structural factors of primary care potentially influence its performance and quality. This study investigated the association between structural factors, including available primary care resources and health outcomes, by using diabetes-related ambulatory care sensitive conditions hospitalizations under the Universal Coverage Scheme in Thailand.

Methods

A 2-year panel study used secondary data compiled at the district level. Administrative claim data from 838 districts during the 2014–2015 fiscal years from the National Health Security Office were used to analyze overall diabetes mellitus (DM) hospitalizations and its three subgroups: hospitalizations for uncontrolled diabetes, short-term complications, and long-term complications. Primary care structural data were obtained from the Ministry of Public Health. Generalized estimating equations were used to estimate the influence of structural factors on the age-standardized DM hospitalization ratio.

Results

A higher overall DM and uncontrolled diabetes hospitalization ratio was related to an increasing concentration of outpatient utilization (using the Herfindahl–Hirschman Index) (overall DM; beta [standard error, SE]=0.003 [0.001], 95% CI 0.000, 0.006) and decreasing physician density and bed supply (overall DM; beta [SE]=−1.350 [0.674], 95% CI −2.671, −0.028), beta [SE]=−0.023 [0.011], 95% CI −0.045, −0.001, respectively). Hospitalizations for short-term complications increased with a decrease in health care facility density, whereas hospitalizations for long-term complications increased as that density increased. Rurality was strongly associated with higher hospitalization ratios for all DM hospitalizations except short-term complications.

Conclusions

This study identified structural factors associated with health outcomes, many of which can be changed through reorganization at the district level.

At-risk registers integrated into primary care to stop asthma crises in the UK (ARRISA-UK): study protocol for a pragmatic, cluster randomised trial with nested health economic and process evaluations

BACKGROUND

Despite effective treatments and long-standing management guidelines, there are approximately 1400 hospital admissions for asthma weekly in the United Kingdom (UK), many of which could be avoided. In our previous research, a secondary analysis of the intervention (ARRISA) suggested an improvement in the management of at-risk asthma patients in primary care. ARRISA involved identifying individuals at risk of adverse asthma events, flagging their electronic health records, training practice staff to develop and implement practice-wide processes of care when alerted by the flag, plus motivational reminders. We now seek to determine the effectiveness and cost-effectiveness of ARRISA in reducing asthma-related crisis events.

METHODS

We are undertaking a pragmatic, two-arm, multicentre, cluster randomised controlled trial, plus health economic and process evaluation. We will randomise 270 primary care practices from throughout the UK covering over 10,000 registered patients with 'at-risk asthma' identified according to a validated algorithm. Staff in practices randomised to the intervention will complete two 45-min eLearning modules (an individually completed module giving background to ARRISA and a group-completed module to develop practice-wide pathways of care) plus a 30-min webinar with other practices. On completion of training at-risk patients' records will be coded so that a flag appears whenever their record is accessed. Practices will receive a phone call at 4 weeks and a reminder video at 6 weeks and 6 months. Control practices will continue to provide usual care. We will extract anonymised routine patient data from primary care records (with linkage to secondary care data) to determine the percentage of at-risk patients with an asthma-related crisis event (accident and emergency attendances, hospitalisations and deaths) after 12 months (primary outcome). We will also capture the time to crisis event, all-cause hospitalisations, asthma control and any changes in practice asthma management for at-risk and all patients with asthma. Cost-effectiveness analysis and mixed-methods process evaluations will also be conducted.

DISCUSSION

This study is novel in terms of using a practice-wide intervention to target and engage with patients at risk from their asthma and is innovative in the use of routinely captured data with record linkage to obtain trial outcomes.

TRIAL REGISTRATION

ISRCTN95472706 . Registered on 5 December 2014.

What do patients want from their asthma care doctors?

One of the most important causes of asthma morbidity, hospital admissions, and death is non-adherence to prescribed therapy. It is generally assumed that adherence rates can be increased with asthma education, although well conducted studies have not always supported this assumption. Education can be achieved, or can fail, in many ways and no two patients have the same needs or perceived needs. In order to better understand what children with asthma and their parents or caregivers would desire as support from their physician providers, we conducted a survey of nearly 1000 parents of asthmatic children affiliated with the Asthma and Allergy Network. Most of those who responded wanted convenient access to their doctor, more time spent in office visits with greater attention paid to the patient, help in navigating insurance and prescription costs and paperwork, and a partnership in developing care plans. Although most patients were well insured for medical coverage (not a given in the USA), half were dissatisfied with their self-reported asthma control, many were concerned about medication side effects, 60% were not cared for by an asthma specialist, and nearly half did not have an asthma action plan. These results are consistent with data from other published studies and suggest that we still can do much more to meet the needs of children for whom we provide asthma care.

Patient experience of general practice and use of emergency hospital services in England: regression analysis of national cross-sectional time series data

BACKGROUND

The UK Government has introduced several national policies to improve access to primary care. We examined associations between patient experience of general practice and rates of visits to accident and emergency (A&E) departments and emergency hospital admissions in England.

METHODS

The study included 8124 general practices between 2011-2012 and 2013-2014. Outcome measures were annual rates of A&E visits and emergency admissions by general practice population, according to administrative hospital records. Explanatory variables included three patient experience measures from the General Practice Patient Survey: practice-level means of experience of making an appointment, satisfaction with opening hours and overall experience (on 0-100 scales). The main analysis used random-effects Poisson regression for cross-sectional time series. Five sensitivity analyses examined changes in model specification.

RESULTS

Mean practice-level rates of A&E visits and emergency admissions increased from 2011-2012 to 2013-2014 (310.3-324.4 and 98.8-102.9 per 1000 patients). Each patient experience measure decreased; for example, mean satisfaction with opening hours was 79.4 in 2011-2012 and 76.6 in 2013-2014. In the adjusted regression analysis, an SD increase in experience of making appointments (equal to 9 points) predicted decreases of 1.8% (95% CI -2.4% to -1.2%) in A&E visit rates and 1.4% (95% CI -1.9% to -0.9%) in admission rates. This equalled 301 174 fewer A&E visits and 74 610 fewer admissions nationally per year. Satisfaction with opening hours and overall experience were not consistently associated with either outcome measure across the main and sensitivity analyses.

CONCLUSIONS

Associations between patient experience of general practice and use of emergency hospital services were small or inconsistent. In England, realistic short-term improvements in patient experience of general practice may only have modest effects on A&E visits and emergency admissions.