Associations between attainment of incentivised primary care indicators and emergency hospital admissions among type 2 diabetes patients: a population-based historical cohort study

ObjectivesEngland has invested considerably in diabetes care over recent years through programmes such as the Quality and Outcomes Framework and National Diabetes Audit. However, associations between specific programme indicators and key clinical endpoints, such as emergency hospital admissions, remain unclear. We aimed to examine whether attainment of Quality and Outcomes Framework and National Diabetes Audit primary care diabetes indicators is associated with diabetes-related, cardiovascular, and all-cause emergency hospital admissions.DesignHistorical cohort study.SettingA total of 330 English primary care practices, 2010–2017, using UK Clinical Practice Research Datalink.ParticipantsA total of 84,441 adults with type 2 diabetes.Main Outcome MeasuresThe primary outcome was emergency hospital admission for any cause. Secondary outcomes were (1) diabetes-related and (2) cardiovascular-related emergency admission.ResultsThere were 130,709 all-cause emergency admissions, 115,425 diabetes-related admissions and 105,191 cardiovascular admissions, corresponding to unplanned admission rates of 402, 355 and 323 per 1000 patient-years, respectively. All-cause hospital admission rates were lower among those who met HbA1c and cholesterol indicators (incidence rate ratio = 0.91; 95% CI 0.89–0.92; p < 0.001 and 0.87; 95% CI 0.86–0.89; p < 0.001), respectively), with similar findings for diabetes and cardiovascular admissions. Patients who achieved the Quality and Outcomes Framework blood pressure target had lower cardiovascular admission rates (incidence rate ratio = 0.98; 95% CI 0.96–0.99; p = 0.001). Strong associations were found between completing 7–9 (vs. either 4–6 or 0–3) National Diabetes Audit processes and lower rates of all admission outcomes (p-values < 0.001), and meeting all nine National Diabetes Audit processes had significant associations with reductions in all types of emergency admissions by 22% to 26%. Meeting the HbA1c or cholesterol Quality and Outcomes Framework indicators, or completing 7–9 National Diabetes Audit processes, was also associated with longer time-to-unplanned all-cause, diabetes and cardiovascular admissions.ConclusionsAttaining Quality and Outcomes Framework-defined diabetes intermediate outcome thresholds, and comprehensive completion of care processes, may translate into considerable reductions in emergency hospital admissions. Out-of-hospital diabetes care optimisation is needed to improve implementation of core interventions and reduce unplanned admissions.     

Healthcare needs,experiences and treatment burden in primary care patients with multimorbidity: An evaluation of process of care from patients' perspectives

BackgroundPatients with multimorbidity often experience treatment burden as a result of fragmented, specialist‐driven healthcare. The ‘family doctor team'' is an emerging service model in China to address the increasing need for high‐quality routine primary care.ObjectiveThis study aimed to explore the extent to which treatment burden was associated with healthcare needs and patients'' experiences.MethodsMultisite surveys were conducted in primary care facilities in Guangdong province, southern China. Interviewer‐administered questionnaires were used to collect data from patients (N = 2160) who had ≥2 clinically diagnosed long‐term conditions (multimorbidity) and had ≥1 clinical encounter in the past 12 months since enrolment registration with the family doctor team. Patients'' experiences and treatment burden were measured using a previously validated Chinese version of the Primary Care Assessment Tool (PCAT) and the Treatment Burden Questionnaire, respectively.ResultsThe mean age of the patients was 61.4 years, and slightly over half were females. Patients who had a family doctor team as the primary source of care reported significantly higher PCAT scores (mean difference 7.2 points, p < .001) and lower treatment burden scores (mean difference −6.4 points, p < .001) when compared to those who often bypassed primary care. Greater healthcare needs were significantly correlated with increased treatment burden (β‐coefficient 1.965, p < .001), whilst better patients'' experiences were associated with lower treatment burden (β‐coefficient −0.252, p < .001) after adjusting for confounders.ConclusionThe inverse association between patients'' experiences and treatment burden supports the importance of primary care in managing patients with multimorbidity.Patient ContributionPrimary care service users were involved in the instrument development and data collection.     

The impact of an intensive care unit admission on the health status of relatives of intensive care survivors: A prospective cohort study in primary care

BackgroundRelatives of intensive care unit (ICU) survivors may suffer from various symptoms after ICU admittance of their relative, known as post-intensive care syndrome-family (PICS-F). Studies regarding PICS-F have been performed but its impact in primary care is unknown.ObjectivesTo explore health problems of relatives of ICU survivors in primary care.MethodsThis is an exploratory prospective cohort study in which we combined data from two hospitals and a primary care research network in the Netherlands. ICU survivors who had been admitted between January 2005 and July 2017 were identified and matched by sex and age with up to four chronically ill (e.g. COPD, cardiovascular disease) patients. In both groups, relatives living in the same household were identified and included in this study. Primary outcome was the number of new episodes of care (International Classification of Primary Care-2) for up to five years. Hazard ratios (HRs) for the total number of new episodes were calculated.ResultsRelatives of ICU survivors (n = 267, mean age 38.1 years, 41.0% male) had significantly more new care episodes compared to the reference group (n = 705, mean age 36.3 years, 41.1% male) 1–2 years (median 0.11 vs. 0.08, HR 1.26; 95% confidence interval (CI) 1.03–1.54) and 2–5 years (median 0.18 vs. 0.13, HR 1.28; 95%CI 1.06–1.56) after ICU discharge. No differences were found in the period before ICU admission.ConclusionRelatives of ICU survivors present more morbidity in primary care than relatives of chronically ill patients up to five years after ICU discharge.     

Improving outcomes for caregivers through treatment of young people affected by war: a randomized controlled trial in Sierra Leone

ObjectiveTo measure the benefits to household caregivers of a psychotherapeutic intervention for adolescents and young adults living in a war-affected area.MethodsBetween July 2012 and July 2013, we carried out a randomized controlled trial of the Youth Readiness Intervention – a cognitive–behavioural intervention for war-affected young people who exhibit depressive and anxiety symptoms and conduct problems – in Freetown, Sierra Leone. Overall, 436 participants aged 15–24 years were randomized to receive the intervention (n = 222) or care as usual (n = 214). Household caregivers for the participants in the intervention arm (n = 101) or control arm (n = 103) were interviewed during a baseline survey and again, if available (n = 155), 12 weeks later in a follow-up survey. We used a burden assessment scale to evaluate the burden of care placed on caregivers in terms of emotional distress and functional impairment. The caregivers’ mental health – i.e. internalizing, externalizing and prosocial behaviour – was evaluated using the Oxford Measure of Psychosocial Adjustment. Difference-in-differences multiple regression analyses were used, within an intention-to-treat framework, to estimate the treatment effects.FindingsCompared with the caregivers of participants of the control group, the caregivers of participants of the intervention group reported greater reductions in emotional distress (scale difference: 0.252; 95% confidence interval, CI: 0.026–0.4782) and greater improvements in prosocial behaviour (scale difference: 0.249; 95% CI: 0.012–0.486) between the two surveys.ConclusionA psychotherapeutic intervention for war-affected young people can improve the mental health of their caregivers.     

Patterns of multimorbidity in primary care patients at high risk of future hospitalization

Care management is seen as a promising approach to address the complex care needs of patients with multimorbidity. Predictive modeling based on insurance claims data is an emerging concept to identify patients likely to benefit from care management interventions. We aimed to identify and explore patterns of multimorbidity in primary care patients with high predicted risk of future hospitalizations in order to develop a primary care-based care management intervention. We conducted a retrospective cohort study to assess insurance claims data of 6026 patients from 10 primary care practices in Germany. We stratified the population by the predicted likelihood of hospitalization (LOH) using a diagnostic cost group-based case-finding software. Co-occurrence of chronic conditions in multimorbid patients with an upper-quartile LOH score was explored by extraction of mutually exclusive patterns. Predictive modeling identified multimorbid elderly patients with a high number of co-occurring chronic conditions (mean number 7.8 [SD 3.1]). Assessing co-occurrence of highly prevalent chronic conditions in 1407 multimorbid patients with upper-quartile LOH revealed 471 mutually exclusive patterns with low single frequencies. The observed prevalence significantly exceeded expected prevalence for patterns with causal comorbidity. Additionally, chronic pain (related to osteoarthritis) or depression could be identified as discordant co-occurring conditions in 80% (12/15) of the most common multimorbidity patterns. High-risk primary care patients suffer from heterogeneous individual patterns of co-occurring chronic conditions. Care management interventions will have to account for discordant co-occurring conditions such as osteoarthritis and depression.     

Added value of CRP to clinical features when assessing appendicitis in children

BackgroundThe diagnostic value of C-reactive protein (CRP) for appendicitis in children has not been evaluated in primary care. As biochemical responses and differential diagnoses vary with age, separate evaluation in children and adults is needed.ObjectivesTo determine whether adding CRP to symptoms and signs improves the diagnosis of appendicitis in children with acute abdominal pain in primary care.MethodsA retrospective cohort study in Dutch general practice. Data was collected from the Integrated Primary Care Information database between 2010 and 2016. We included children aged 4–18 years, with no history of appendicitis, presenting with acute abdominal pain, and having a CRP test. Initial CRP levels were related to the specialist’s diagnosis of appendicitis, and the test’s characteristics were calculated for multiple cut-offs. The value of adding CRP to signs and symptoms was analysed by logistic regression.ResultsWe identified 1076 eligible children, among whom 203 were referred for specialist evaluation and 70 had appendicitis. The sensitivity and specificity of a CRP cut-off ≥10 mg/L were 0.87 (95%CI, 0.77–0.94) and 0.77 (95%CI, 0.74–0.79), respectively. When symptoms lasted > 48 h, this sensitivity increased to 1.00. Positive predictive values for CRP alone were low (0.18–0.38) for all cut-off values (6–100 mg/L). Adding CRP increased the area under the curve from 0.82 (95%CI, 0.78–0.87) to 0.88 (95%CI, 0.84–0.91), and decision curve analysis confirmed that its addition provided the highest net benefit.ConclusionCRP adds value to history and physical examination when diagnosing appendicitis in children presenting acute abdominal pain in primary care. Appendicitis is least likely if the CRP value is < 10 mg/L and symptoms have been present for > 48 h.     

Management and characteristics of patients suffering from Clostridiodes difficile infection in primary care

BackgroundClostridioides difficile infection (CDI) is rising and increases patient healthcare costs due to extended hospitalisation, tests and medications. Management of CDI in French primary care is poorly reported.ObjectivesTo characterise patients suffering from CDI, managed in primary care and describe their clinical outcomes.MethodsRetrospective observational study based on survey data among 500 randomly selected General Practitioners (GPs) surveyed in France from September 2018 to April 2019. GPs were asked to complete a multiple-choice questionnaire for each reported patient presenting a CDI. Responses were analysed according to clinical characteristics. Treatment strategies were compared according to the outcome: recovery or recurrent infection.ResultsParticipation rate was 8.6% (n = 43/500) with two incomplete questionnaires. Data from 41 patients with an actual diagnosis of CDI were analysed. Recovery was observed in 61% of patients with a confirmed diagnosis of CDI. In the recovery group, this was exclusively a primary episode, most patients (72%) had no comorbidities, were significantly younger (p = 0.02) than the ones who relapsed and 92% were successfully treated with oral metronidazole. Duration of diarrhoea after antimicrobial treatment initiation was significantly shorter in the recovery group (≤ 48 h) (p = 0.03). Cooperation with hospital specialists was reported in 28% of the recovery group versus 87.5% of the recurrent group (p = 0.0003). Overall, GPs managed successfully 82.9% of cases without need of hospital admission.ConclusionGPs provide relevant ambulatory care for mild primary episodes of CDI using oral metronidazole. Persistent diarrhoea despite an appropriate anti-Clostridiodes regimen should be interpreted as an early predictor of relapse.     

Improved health status of severe COPD patients after being included in an integrated primary care service: A prospective cohort study

BackgroundChronic obstructive pulmonary disease (COPD) is a prevalent lung disease. It is assumed that severe patients will receive better treatment in specialised care centres but the prevalence of severe COPD in primary care is high. Integrated primary care services combine input from several sources and advice from pulmonologists to provide general practitioners with support needed to improve diagnosis and treatment of patients with COPD.ObjectivesTo evaluate patient-reported outcomes and costs of managing patients classified as GOLD D in an integrated primary care service over 12 months.MethodsPatients were included in this 1-year prospective cohort study if they met the 2014 GOLD D criteria, were aged ≥ 40 years and gave written informed consent for this study. Recruitment took place through the patients’ general practitioners. The primary outcome was health status, assessed with the Clinical COPD Questionnaire (CCQ) and COPD Assessment Test (CAT). Secondary outcomes included self-reported exacerbations, quality-adjusted life years and health(care)-related costs.ResultsForty-nine patients were included. At baseline, the mean CAT score was 15.9 and the median CCQ score was 1.7. After 12 months, scores had improved by 2.3 (95% confidence interval, 0.8–3.7) and 0.4 (95% confidence interval, 0.2–0.7), respectively. Percentage of patients with ≥2 exacerbations in the past 12 months also decreased from baseline (77.6%) to 12 months (16.7%). Changes in mean quarterly costs were small.ConclusionAn integrated service for COPD based in primary care may improve the health status of patients with a large burden of disease while not increasing health care costs.     

Treatment outcomes of acute streptococcal tonsillitis according to antibiotic treatment. A retrospective analysis of 242,366 cases treated in the community

BackgroundAcute upper respiratory infections are the most common reason for primary physician visits in the community. This study investigated whether the type of antibiotic used to treat streptococcal tonsillitis can reduce the burden by affecting the number of additional visits.ObjectivesTo assess the effect of different antibiotic treatments for tonsillitis on the number of additional primary physician visits and the development of infectious or inflammatory sequels.MethodsThis retrospective study included first cases of culture-confirmed streptococcal tonsillitis (n = 242,366, 55.3% females, 57.6% aged 3–15 years) treated in primary clinics throughout Israel between the years 2010 and 2019. Primary outcomes were the number of additional primary physician visits, due to any cause or due to specific upper airway infections. Secondary outcomes were the number of developed complications, such as peritonsillar abscess, post-streptococcal glomerulonephritis, rheumatic fever, post-streptococcal arthritis, chorea and death.ResultsCompared to penicillin-V, adjusted incidence rate ratios (IRR) for additional primary physician visits at 30–days were highest for IM benzathine-benzylpenicillin (IRR = 1.46, CI 1.33–1.60, p < .001) and cephalosporin treatment (IRR = 1.27, CI 1.24–1.30, p < .001). Similar results were noted for visits due to specific diagnoses such as recurrent tonsillitis, otitis media and unspecified upper respiratory tract infection. Amoxicillin showed decreased adjusted odds ratio (aOR) of developing complications (aOR = 0.68, CI 0.52–0.89, p < .01 for any complication. aOR = 0.75, CI 0.55–1.02, p = .07 for peritonsillar or retropharyngeal abscess).ConclusionPenicillin-V treatment is associated with fewer additional primary physician visits compared to other antibiotic treatments. Amoxicillin and penicillin-V are associated with fewer complications. These findings are limited by the retrospective nature of the study and lack of adjustment for illness severity. Further prospective studies may be warranted to validate results.     

Changing definitions altered multimorbidity prevalence,but not burden associations,in a musculoskeletal population

ObjectivesThe inclusion of musculoskeletal conditions within multimorbidity research is inconsistent, and working-age populations are largely ignored. We aimed to: (1) estimate multimorbidity prevalence among working-age individuals with a range of musculoskeletal conditions; and (2) better understand the implications of decisions about the number and range of conditions constituting multimorbidity on the strength of associations between multimorbidity and burden (e.g., health status and health care utilization).Study Design and SettingUsing data from the Australian National Health Survey 2007–08, the associations between burden measures and three ways of operationalizing multimorbidity (survey, policy, and research based) within the working-age (18–64 years) musculoskeletal population were estimated using multiple logistic regression (age and gender adjusted).ResultsDepending on definition, from 20.2% to 75.4% of working-age individuals with musculoskeletal conditions have multimorbidity. Irrespective of definition, multimorbidity was associated with increased likelihood of subjective health burden, pain or musculoskeletal medicines use, nonmusculoskeletal specialist and pharmacist (advice only) consultations, and reduced likelihood of not consulting health professionals. A group with intermediate health outcomes was considered multimorbid by some, but not all definitions. With the restrictive policy and research multimorbidity definitions, this intermediate group is included within the reference population (i.e., are considered nonmultimorbid). This worsens the reference group's apparent health status thereby leveling the comparative burden between those with and without multimorbidity. Consequently, dichotomous cut points lead to similar associations with burden measures despite the increasingly restrictive multimorbidity definitions used.ConclusionsAll multimorbidity definitions were associated with burden among the working-age musculoskeletal population. However, dichotomous cut points obscure the gradient of increased burden associated with restrictive definitions.     

Disparities in multimorbidity and mortality among people living with and without HIV across British Columbia’s health regions: a population-based cohort study

ObjectivesLonger survival has increased the likelihood of antiretroviral-treated people living with HIV (PLWH) developing age-associated comorbidities. We compared the burden of multimorbidity and all-cause mortality across HIV status in British Columbia (BC), and assessed the longitudinal effect of multimorbidity on all-cause mortality among PLWH.MethodsAntiretroviral-treated PLWH aged ≥19 years and 1:4 age-sex-matched HIV-negative individuals from a population-based cohort were followed for ≥1 year during 2001–2012. Diagnoses of seven age-associated comorbidities were identified from provincial administrative databases and grouped into 0, 1, 2, and ≥3 comorbidities. Multimorbidity prevalence and age-standardized mortality rates (ASMRs) in both populations were stratified by BC’s health regions. Marginal structural models were used to estimate the effect of multimorbidity on mortality among PLWH, adjusted for time-varying confounders affected by prior multimorbidity.ResultsAmong 8031 PLWH and 32,124 HIV-negative individuals, 25% versus 11% developed multimorbidity, and 23.53 deaths/1000 person-years (95% confidence interval [95% CI]: 22.02–25.13) versus 3.04 (2.81–3.29) were observed, respectively. PLWH in Northern region had the highest ASMR, but those in South Vancouver Island experienced the greatest difference in mortality compared with HIV-negative individuals. Among PLWH, compared with those with zero comorbidities, adjusted hazard ratios for those with 1, 2, and ≥3 comorbidities were 3.36 (95% CI: 2.86–3.95), 6.92 (5.75–8.33), and 12.87 (10.45–15.85), respectively.ConclusionPLWH across BC’s health regions experience excess multimorbidity and associated mortality. We highlight health disparities which are key when planning the distribution of healthcare resources across BC, and provide evidence for improved HIV care models integrating prevention and management of chronic diseases.Supplementary InformationThe online version contains supplementary material available at 10.17269/s41997-021-00525-4.     

Patterns of multimorbidity in working Australians

Background

Multimorbidity is becoming more prevalent. Previously-used methods of assessing multimorbidity relied on counting the number of health conditions, often in relation to an index condition (comorbidity), or grouping conditions based on body or organ systems. Recent refinements in statistical approaches have resulted in improved methods to capture patterns of multimorbidity, allowing for the identification of nonrandomly occurring clusters of multimorbid health conditions. This paper aims to identify nonrandom clusters of multimorbidity.

Methods

The Australian Work Outcomes Research Cost-benefit (WORC) study cross-sectional screening dataset (approximately 78,000 working Australians) was used to explore patterns of multimorbidity. Exploratory factor analysis was used to identify nonrandomly occurring clusters of multimorbid health conditions.

Results

Six clinically-meaningful groups of multimorbid health conditions were identified. These were: factor 1: arthritis, osteoporosis, other chronic pain, bladder problems, and irritable bowel; factor 2: asthma, chronic obstructive pulmonary disease, and allergies; factor 3: back/neck pain, migraine, other chronic pain, and arthritis; factor 4: high blood pressure, high cholesterol, obesity, diabetes, and fatigue; factor 5: cardiovascular disease, diabetes, fatigue, high blood pressure, high cholesterol, and arthritis; and factor 6: irritable bowel, ulcer, heartburn, and other chronic pain. These clusters do not fall neatly into organ or body systems, and some conditions appear in more than one cluster.

Conclusions

Considerably more research is needed with large population-based datasets and a comprehensive set of reliable health diagnoses to better understand the complex nature and composition of multimorbid health conditions.     

Rotavirus and illness severity in children presenting with acute gastroenteritis at the primary care out-of-hours service

BackgroundRotavirus is a common cause of acute gastroenteritis in young children in the Netherlands, where rotavirus vaccination has not yet been implemented.ObjectivesTo evaluate a difference in illness severity course depending on the presence of rotavirus infection and assess the prevalence of viruses and the referral rate in children with acute gastroenteritis.MethodsA prospective cohort of children aged 6 months to 6 years presenting with acute gastroenteritis to a primary care out-of-hours service from October 2016 to March 2018. Faeces were sampled and sent to a laboratory where viral pathogens were identified and quantified by real-time polymerase chain reaction. Severe course of acute gastroenteritis was defined as a Modified Vesikari Score of ≥11. In addition, we assessed referral rates. Chi-square tests were used to evaluate differences between groups.ResultsWe included 75 children (34 boys) with a median age of 1.5 years (interquartile range, 0.9–2.0 years). The prevalence of rotavirus was 65.3% (95% confidence interval, 53.5–76.0) with a median cycle threshold of 16.0. Severe course of acute gastroenteritis was present in 31 of 71 children (4 were lost to follow-up). Those with rotavirus (20/47) did not have a severe course more often than those without (11/24): odds ratio, 0.88 (95% confidence interval, 0.33–2.36). Referral rates were comparable for rotavirus (15.2%) and non-rotavirus (14.3%).ConclusionIn out-of-hours primary care, rotavirus is common but not associated with increased severity and higher referral rates in children with acute gastroenteritis.     

To prevent being stressed-out: Allostatic overload and resilience of general practitioners in the era of COVID-19. A cross-sectional observational study

BackgroundResponsibility of general practitioners (GPs) in delivering safe and effective care is always high but during the COVID-19 pandemic they face even growing pressure that might result in unbearable stress load (allostatic overload, AO) leading to disease.ObjectivesWe aimed to measure AO of Hungarian GPs during the COVID-19 pandemic and explore their recreational resources to identify potential protective factors against stress load.MethodsIn a mixed-method design, Fava’s clinimetric approach to AO was applied alongside the Psychosocial Index (PSI); Kellner’s symptom questionnaire (SQ) to measure depression, anxiety, hostility and somatisation and the Public Health Surveillance Well-being Scale (PHS-WB) to determine mental, social, and physical well-being. Recreational resources were mapped. Besides Chi-square and Kruskal-Wallis tests, regression analysis was applied to identify explanatory variables of AO.ResultsData of 228 GPs (68% females) were analysed. Work-related changes caused the biggest challenges leading to AO in 60% of the sample. While female sex (OR: 1.99; CI: 1.06; 3.74, p = 0.032) and other life stresses (OR: 1.4; CI: 1.2; 1.6, p < 0.001) associated with increased odds of AO, each additional day with 30 min for recreation purposes associated with 20% decreased odds (OR: 0.838; CI: 0.72; 0.97, p = 0.020). 3–4 days a week when time was ensured for recreation associated with elevated mental and physical well-being, while 5–7 days associated with lower depressive and anxiety symptoms, somatisation, and hostility.ConclusionUnder changing circumstances, resilience improvement through increasing time spent on recreation should be emphasised to prevent GPs from the adverse health consequences of stress load.     

Delay in childhood vaccinations during the COVID-19 pandemic

ObjectivesIn many jurisdictions, routine medical care was reduced in response to the COVID-19 pandemic. The objective of this study was to determine whether the frequency of on-time routine childhood vaccinations among children age 0–2 years was lower following the COVID-19 declaration of emergency in Ontario, Canada, on March 17, 2020, compared to prior to the pandemic.MethodsWe conducted a longitudinal cohort study of healthy children aged 0–2 years participating in the TARGet Kids! primary care research network in Toronto, Canada. A logistic mixed effects regression model was used to determine odds ratios (ORs) for delayed vaccination (> 30 days vs. ≤ 30 days from the recommended date) before and after the COVID-19 declaration of emergency, adjusted for confounding variables. A Cox proportional hazards model was used to explore the relationship between the declaration of emergency and time to vaccination.ResultsAmong 1277 children, the proportion of on-time vaccinations was 81.8% prior to the COVID-19 declaration of emergency and 62.1% after (p < 0.001). The odds of delayed vaccination increased (odds ratio = 3.77, 95% CI: 2.86–4.96), and the hazard of administration of recommended vaccinations decreased after the declaration of emergency (hazard ratio = 0.75, 95% CI: 0.60–0.92). The median vaccination delay time was 5 days (95% CI: 4–5 days) prior to the declaration of emergency and 17 days (95% CI: 12–22 days) after.ConclusionThe frequency of on-time routine childhood vaccinations was lower during the first wave of the COVID-19 pandemic. Sustained delays in routine vaccinations may lead to an increase in rates of vaccine-preventable diseases.Supplementary InformationThe online version contains supplementary material available at 10.17269/s41997-021-00601-9.     

Association Between Nonspecific Severe Psychological Distress as an Indicator of Serious Mental Illness and Increasing Levels of Medical Multimorbidity

Objectives. We sought to determine whether severe psychological distress (SPD) and serious mental illnesses (SMIs) are associated with a specific set of chronic medical conditions (CMCs) and the association between SPD–SMIs and increasing levels of medical multimorbidity and complexity (i.e., from 1 to 3 or more CMCs).Methods. We used data from 3 administrations (2008–2010) of the National Survey on Drug Use and Health collected from 110 455 adult participants. We used binary and ordinal logistic regressions adjusting for sociodemographics and substance abuse to examine the associations between SPD–SMIs and increasing levels of multimorbidity.Results. SPD–SMI was associated with higher probabilities for many CMCs generally, but we found no specific pattern for any class of conditions for SPD–SMIs and multimorbidity. The association between SPD–SMIs and multimorbidity strengthened as the number of CMCs increased.Conclusions. The finding of no discernible risk pattern for any specific CMC grouping supports broad medical assessment strategies and closely coordinated primary and behavioral health care for those with SPD–SMIs, as called for in the Patient Protection and Affordable Care Act.Medical multimorbidity, most commonly defined as having 2 or more chronic medical conditions (CMCs), is of increasing importance for health care practice, policy, and research.1,2 Several potential reasons motivate this interest. When multimorbidity is present, provision of care is difficult and expensive. Medical care tends to focus on treatment of single conditions.3 This focus may result in unnecessary or poorly coordinated care, both of which potentially inflate costs.4–6 Evidence-based clinical practice guidelines have started to address care in the presence of comorbidity, especially when disorders have similar pathogenesis and care requirements.7 There is a dearth of sound guidance, however, when pathogenesis is discordant or when there are multiple co-occurring conditions.8Medical multimorbidity is relatively common. Recent general population surveys have estimated a prevalence between 10% and 20%.9,10 Within specific subpopulations, the prevalence is much higher. For instance, studies of patients in general medical practice and of older adults have reported multimorbidity prevalence rates of 29% and as high as 55%.11–13Because of treatment complexity and high prevalence rates, identification of risk factors for medical multimorbidity has become increasingly emphasized. One cofactor consistently linked to medical multimorbidity is serious mental illnesses (SMIs) such as bipolar disorder, major depressive disorder, or schizophrenia.13,14 This association has important repercussions, one of which is that the increased rate of medical multimorbidity among those with SMIs results in a substantially diminished life expectancy. Individuals with SMIs are estimated to live 13 to 30 years less than those who do not have SMIs.15The higher mortality rates owing to the co-occurrence of SMIs and medical multimorbidity are attributable to a number of factors. People with SMIs tend to lead unhealthy lifestyles characterized by substance use, poor diet, and physical inactivity.16 They are disproportionately more likely to commit suicide, be victims of violence, and engage more frequently in risky sexual behavior, increasing the likelihood of sexually transmitted infections.17–19 In addition, some psychiatric medications, most notably atypical antipsychotics, are associated with iatrogenic medical complications such as type 2 diabetes, hyperglycemia, and obesity.20 As a result of these and lifestyle factors, heart disease is of particular concern among those with an SMI. If multimorbidity develops, diminished access to financial resources and health insurance reduce the likelihood that those with an SMI will obtain medical care, potentially compounding the deleterious effects of multimorbidity.21 Even when people with SMIs obtain medical care, it is often inadequate.22 Moreover, people with SMIs who have cognitive and emotional impairments have difficulty adhering to complex, often poorly coordinated medical care and complicated medication regimens, vitiating the benefits of clinical intervention.15Because of the widely recognized importance of SMI as a risk factor for multimorbidity and the need to develop better-coordinated treatment strategies, we sought to study the relationship between medical multimorbidity and SMIs further. For the purposes of this study, we used nonspecific severe psychological distress (SPD) as a proxy indicator of a probable SMI. First, we examined associations between SPD–SMI and the individual prevalences of 14 CMCs in a general population sample.22 We also attempted to determine whether those with medical multimorbidity and SPD–SMI had higher prevalence rates of specific clusters of CMCs than those with multimorbidity but no SPD–SMI. Last, we examined the association of SPD–SMI with multimorbidity across increasing levels of multimorbidity. To date, most research has assumed that the relationship between SPD–SMI and multimorbidity is constant as medical conditions accumulate.23 We tested that assumption to determine whether people with SPD–SMI are at increasing risk for experiencing a higher number of concurrent CMCs relative to the risk of fewer CMCs.     

Impaired-Driving Prevalence Among US High School Students: Associations With Substance Use and Risky Driving Behaviors

Objectives. We examined the prevalence of impaired driving among US high school students and associations with substance use and risky driving behavior.Methods. We assessed driving while alcohol or drug impaired (DWI) and riding with alcohol- or drug-impaired drivers (RWI) in a nationally representative sample of 11th-grade US high school students (n = 2431). We examined associations with drinking and binge drinking, illicit drug use, risky driving, and demographic factors using multivariate sequential logistic regression analysis.Results. Thirteen percent of 11th-grade students reported DWI at least 1 of the past 30 days, and 24% reported RWI at least once in the past year. Risky driving was positively associated with DWI (odds ratio [OR] = 1.25; P < .001) and RWI (OR = 1.09; P < .05), controlling for binge drinking (DWI: OR = 3.17; P < .01; RWI: OR = 6.12; P < .001) and illicit drug use (DWI: OR = 5.91; P < .001; RWI: OR = 2.29; P = .05). DWI was higher for adolescents who drove after midnight (OR = 15.7), drove while sleepy or drowsy (OR = 8.6), read text messages (OR = 11.8), sent text messages (OR = 5.0), and made cell phone calls (OR = 3.2) while driving.Conclusions. Our findings suggest the need for comprehensive approaches to the prevention of DWI, RWI, and other risky driving behavior.Motor vehicle crashes are the leading cause of mortality for US adolescents.1 In general, alcohol and drug use impairs driving performance in proportion to the amount consumed and contributes significantly to motor vehicle crashes,2,3 particularly among younger drivers.4 In 2008, 31% of young drivers who were killed in motor vehicle crashes had been drinking5; in 2009, half of the child passengers who died in crashes involving alcohol were riding with an alcohol-impaired driver.6 Illicit drug use also contributes to a large portion of fatal motor vehicle crashes involving adolescents and adults.7–10 Despite downward trends among adolescents in rates of drinking and driving (from 17% in 1991 to 10% in 2009) and riding with drinking drivers (from 40% in 1991 to 28% in 2009), rates remain alarmingly high.11 Therefore, better understanding of the current prevalence, variability, and determinants of adolescent driving while intoxicated (DWI) and riding with alcohol- or drug-impaired drivers (RWI) is needed to guide the development of prevention strategies.Adolescence, the transition period from childhood to emerging adulthood, is a time of increased sensation seeking and risk behavior.12,13 During this transition, learning to drive and obtaining a license are major rites of passage for entering adulthood. However, adolescent drivers have high crash rates and tend to drive in a deliberately risky manner, typified by speeding, close following, sharp cornering, and hard stops.14–18 At the same time, drinking and drug use increase during adolescence, and vehicles become a primary means of transportation and provide a somewhat private place for adolescents to drink and use illicit drugs.19,20Previous research indicates that the prevalence of DWI and RWI among adolescents is higher for male than female adolescents and for Latinos than Whites.21–24 Concurrent and longitudinal research has shown that drinking, binge drinking, cigarette use, and marijuana use are associated with adolescent DWI and RWI.20,25–28 Similarly, drinking, drug use, and traffic violations are associated with adolescent risky driving.17,26 It has been shown in a few regional studies that risky driving covaries with other problem behaviors,17,26,29 but no national studies have reported associations between risky driving and DWI and RWI among adolescents.Using a national probability sample, we examined the following: (1) the variability in the prevalence of DWI and RWI among adolescents by demographic factors; (2) the association between risky driving and DWI and RWI; and (3) the independent contribution of binge drinking, illicit drug use, and risky driving to DWI and RWI.