Epidemiology of Children With Multiple Complex Chronic Conditions in a Mixed Urban-Rural US Community

Interactions between special education teachers and children with chronic complex conditions: A qualitative study

Background

The number of children with complex medical conditions has increased in recent decades. In this context, a complex chronic condition is characterized by multiple morbidities that require intensive or continuous health care according to the level of severity. Given their various health conditions, it is challenging to provide special education to these children, but there is still insufficient evidence regarding the practical experiences of educators. The aim of this study was to investigate special education teacher's perceptions, experiences, and challenges while developing interpersonal relationships and communicating with children who have complex chronic conditions.

Methods

We recruited and interviewed 21 special education school teachers in Japan. The transcripts of the interviews were analyzed using thematic analysis.

Results

Our analysis revealed four themes, including "searching for the meaning," "complex chronic conditions as a difficult reality," "widening experience for the future," and "priority for interacting with children." These themes reflect the perceptions, experiences, and challenges of the special education teachers.

Conclusions

In cases where children have severe functional limitations, it is more challenging to understand child-teacher interactions. This highlights the importance of searching for meaning in educational practices used among children with complex chronic conditions. Our findings may provide helpful insight into the experiences and challenges faced by special educators who engage with these children.

Pneumonia in Children With Complex Chronic Conditions With Tracheostomy: An Emerging Challenge

BACKGROUND

Despite respiratory infections being a leading cause of hospitalization in children with tracheostomy tubes, there are no published guidelines for their diagnosis and management. This study aims to outline the clinical, laboratory and microbiological aspects of pneumonia in these children, along with the antibiotics used and outcomes. Additionally, it seeks to determine pneumonia incidence and associated risk factors.

METHODS

We conducted a retrospective study using the medical records of tracheostomized children at La Paz University Hospital in Madrid from 2010 to 2021.

RESULTS

Thirty-three pneumonia cases were observed in 25 tracheostomized children. Pseudomonas aeruginosa was the predominant bacterium (52%), followed by Escherichia coli, Staphylococcus aureus and Serratia marcescens. The same microorganism isolated in the tracheal aspirate culture during pneumonia was previously isolated in 83% of cases that had a similar culture, with some growth obtained within 7-30 days prior. Multiplex respiratory PCR detected respiratory viruses in 73% of cases tested. Antibiotic treatment was administered in all cases except 1, mostly intravenously (81%), with piperacillin/tazobactam and meropenem being commonly used. Only 1 of the described episodes had a fatal outcome.

CONCLUSIONS

It is advisable to include coverage for P. aeruginosa, E. coli, S. aureus, and S. marcescens in the empirical antibiotic treatment for pneumonia in tracheostomized children, along with the microorganisms identified in tracheal cultures obtained within 7-30 days prior, if available. A positive PCR for respiratory viruses is often discovered in bacterial pneumonia in tracheostomized children.

Child Health Needs and the Pediatric Hospital Medicine Workforce: 2020-2040

Pediatric hospital medicine (PHM) established a new model of care for hospitalized children in the United States nearly 3 decades ago. In that time, the field experienced rapid growth while distinguishing itself through contributions to medical education, quality improvement, clinical and health services research, patient safety, and health system leadership. Hospital systems have also invested in using in-house pediatricians to manage various inpatient care settings as patient acuity has accelerated. National PHM leaders advocated for board certification in 2014, and the first certification examination was administered by the American Board of Pediatrics in 2019. In this article, we describe the development of the subspecialty, including evolving definitions and responsibilities of pediatric hospitalists. Although PHM was not included in the model forecasting future pediatric subspecialties through 2040 in this supplement because of limited historical data, in this article, we consider the current and future states of the workforce in relation to children's health needs. Expected challenges include potential alterations to residency curriculum, changes in the number of fellowship positions, expanding professional roles, concerns related to job sustainability and burnout, and closures of pediatric inpatient units in community hospitals. We simultaneously forecast growing demand in the PHM workforce arising from the increasing prevalence of children with medical complexity and increasing comanagement of hospitalized children between pediatric hospitalists and other subspecialists. As such, our forecast incorporates a degree of uncertainty and points to the need for ongoing investments in future research to monitor and evaluate the size, scope, and needs of pediatric hospitalists and the PHM workforce.

Rural Health Disparities in Allergy, Asthma, and Immunologic Diseases: The Current State and Future Direction for Clinical Care and Research

Rural health disparities are well documented and continue to jeopardize the long-term health and wellness for the millions of individuals who live in rural America. The disparities observed between urban and rural residents encompass numerous morbidity and mortality measures for several chronic diseases and have been referred to as the "rural mortality penalty." Although the unmet health needs of rural communities are widely acknowledged, little is known about rural health disparities in allergies, asthma, and immunologic diseases. Furthermore, the intersection between rural health disparities and social determinants of health has not been fully explored. To achieve a more complete understanding of the factors that perpetuate rural health disparities, greater research efforts followed by improved practice and policy are needed that account for the complex social context within rural communities rather than a general comparison between urban and rural environments or focusing on biomedical factors. Moreover, research efforts must prioritize community inclusion throughout rural areas through meaningful engagement of stakeholders in both clinical care and research. In this review, we examine the scope of health disparities in the rural United States and the impact of social determinants of health. We then detail the current state of rural health disparities in the field of allergy, asthma, and immunology. To close, we offer future considerations to address knowledge gaps and unmet needs for both clinical care and research in addressing rural health disparities.

Microbiological patterns of bacterial infections in tracheostomized children: Reducing uncertainty in continuous care

BACKGROUND AND OBJECTIVES

Respiratory infections are the most frequent cause of hospitalization in tracheostomized children. However, there is a lack of publications to guide their management. The primary objective was to describe the microbiological isolates and their antibiotic susceptibilities of bacterial respiratory infections in a population of tracheostomized children.

METHODS

Retrospective follow-up study of children with tracheostomy seen at a tertiary hospital. Respiratory infection episodes in patients under 18 years of age who had a tracheostomy and bacterial isolation with a count ≥104 Colony Forming Units/mL in tracheal aspirate were included.

RESULTS

The study analyzed 328 respiratory infection episodes: 164 tracheobronchitis (50%), 112 nonspecific respiratory episodes (34.1%), and 52 pneumonias (15.9%). The most commonly isolated microorganisms were Pseudomonas aeruginosa, Serratia marcescens, and Staphylococcus aureus. The antibiotics that exhibited the highest effectiveness were meropenem (92%), imipenem (87%), and levofloxacin (86%). When hospitalization exceeded 7 days, there was a higher chance of isolating Escherichia coli and Klebsiella pneumoniae (p < 0.001 and p = 0.001, respectively), as well as an increased rate of multidrug resistance (27% vs. 7%, p = 0.035). In 75.3% of cases, the microorganism had been previously isolated in a sample taken 7-30 days before the current one, with a higher frequency observed in the case of P. aeruginosa (95.2%) compared to other microorganisms (65.3%, p < 0.001).

CONCLUSIONS

Meropenem, imipenem, and levofloxacin provided the most effective coverage for these infections. The risk of multidrug resistance increased with longer hospital stays, especially for E. coli and K. pneumoniae. Recent isolation of P. aeruginosa may justify empirical coverage.

How are children with medical complexity being identified in epidemiological studies? A systematic review

BACKGROUND

There are different definitions to identify/classify children with medical complexity (CMC). We aimed to investigate and describe the definitions used to classify CMC in epidemiological studies.

METHODS

PubMed, SciELO, LILACS, and EMBASE were searched from 2015 to 2020 (last updated September 15th, 2020) for original studies that presented the definition used to classify/identify CMC in the scientific research method. We applied the Preferred Reporting Items for Systematic Reviews and Meta-Analyses methodology. From the included studies, the following were identified: first author, year of publication, design, population, study period, the definition of CMC used, limitations, and strengths.

RESULTS

Nine hundred and sixty-seven records were identified in the searched databases, and 42 met the inclusion criteria. Of the 42 studies included, the four most frequent definitions used in the articles included in this review were classification of CMC into nine diagnostic categories based on the International Classification of Diseases, Ninth Revision (ICD-9) (35.7%, 15 articles); update of the previous classification for ICD-10 codes with the inclusion of other conditions in the definition (21.4%, nine articles); definition based on a medical complexity algorithm for classification (16.7%, seven articles); and a risk rating system (7.1%, three articles).

CONCLUSIONS

CMC definitions using diagnostic codes were more frequent. However, several limitations were found in its uses. Our research highlighted the need to improve health information systems to accurately characterize the CMC population and promote the provision of comprehensive care.

Crossroads of parental decision making: Intersections of hope, communication, relationships, and emotions

Parents of children born with complex life-threatening chronic conditions (CLTCs) experience an uncertain trajectory that requires critical decision making. Along this trajectory, hope plays an influential but largely unexplored role; therefore, this qualitative descriptive study explores how parent and provider hope may influence decision making and care of a child born with CLTCs. A total of 193 interviews from 46 individuals (parents, nurses, physicians, and nurse practitioners) responsible for the care of 11 infants with complex congenital heart disease (CCHD) were analyzed to understand how hope features in experiences related to communication, relationships, and emotions that influence decision making. Overall, parental hope remained strong and played a pivotal role in parental decision making. Parents and professional healthcare providers expressed a range of emotions that appeared to be integrally linked to hope and affected decision making. Providers and parents brought their own judgments, perceptions, and measure of hope to relationships, when there was common ground for expressing, and having, hope, shared decision making was more productive and they developed more effective relationships and communication. Relationships between parents and providers were particularly influenced by and contributory to hope. Communication between parents and providers was also responsible for and responsive to hope.

Development and preliminary validation of the Sleep Screening for Children and Adolescents with Complex Chronic Conditions (SCAC)

Children and adolescents with complex chronic conditions, including those with life-threatening or life-limiting conditions, are a heterogeneous population. Many individuals exhibit sleep abnormalities that are measurable by proxy questionnaires. No suitable instrument to assess the wide range of different complex chronic conditions is currently available. The aim of the present study was to develop a screening tool-the Sleep Screening for Children and Adolescents with Complex Chronic Conditions-to effectively obtain sleep behaviour information in this population. Following a mixed-method design, potential items for the Sleep Screening for Children and Adolescents with Complex Chronic Conditions questionnaire were defined through literature research and expert meetings. In a pre-test with N = 60 family and professional caregivers, the items' relevance and comprehensibility as well as the instrument's overall design were assessed. For the main test, N = 315 participants were recruited in three tertiary paediatric hospitals. A principal components analysis detected the questionnaire's scales. Item analysis focused on mean values, range, difficulty and discriminatory power. Convergent validation of the Sleep Screening for Children and Adolescents with Complex Chronic Conditions was assessed via correlations between scale items. Most patients had neurological or neuromuscular diseases. Four scales ("Falling and staying asleep", "Sleep-associated respiration and arousal", "Daytime sleepiness" and "Sleep-associated movements") emerged. The item analysis showed satisfactory discriminative power. In the preliminary validation, all scales correlated positively with a child's care level and with various sleep circumstances items. Three scales additionally correlated with the number of complex chronic condition diagnoses. This newly developed questionnaire can provide clinicians with first indications of possible sleep problems in a growing paediatric population.

Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index

OBJECTIVE

Artificial intelligence (AI) models may propagate harmful biases in performance and hence negatively affect the underserved. We aimed to assess the degree to which data quality of electronic health records (EHRs) affected by inequities related to low socioeconomic status (SES), results in differential performance of AI models across SES.

MATERIALS AND METHODS

This study utilized existing machine learning models for predicting asthma exacerbation in children with asthma. We compared balanced error rate (BER) against different SES levels measured by HOUsing-based SocioEconomic Status measure (HOUSES) index. As a possible mechanism for differential performance, we also compared incompleteness of EHR information relevant to asthma care by SES.

RESULTS

Asthmatic children with lower SES had larger BER than those with higher SES (eg, ratio = 1.35 for HOUSES Q1 vs Q2-Q4) and had a higher proportion of missing information relevant to asthma care (eg, 41% vs 24% for missing asthma severity and 12% vs 9.8% for undiagnosed asthma despite meeting asthma criteria).

DISCUSSION

Our study suggests that lower SES is associated with worse predictive model performance. It also highlights the potential role of incomplete EHR data in this differential performance and suggests a way to mitigate this bias.

CONCLUSION

The HOUSES index allows AI researchers to assess bias in predictive model performance by SES. Although our case study was based on a small sample size and a single-site study, the study results highlight a potential strategy for identifying bias by using an innovative SES measure.

The Child With Severe Chronic Illness in the ICU: A Concise Review

OBJECTIVES

Children with severe chronic illness are a prevalent, impactful, vulnerable group in PICUs, whose needs are insufficiently met by transitory care models and a narrow focus on acute care needs. Thus, we sought to provide a concise synthetic review of published literature relevant to them and a compilation of strategies to address their distinctive needs.

DATA SOURCES

English language articles were identified in MEDLINE using a variety of phrases related to children with chronic conditions, prolonged admissions, resource utilization, mortality, morbidity, continuity of care, palliative care, and other critical care topics. Bibliographies were also reviewed.

STUDY SELECTION

Original articles, review articles, and commentaries were considered.

DATA EXTRACTION

Data from relevant articles were reviewed, summarized, and integrated into a narrative synthetic review.

DATA SYNTHESIS

Children with serious chronic conditions are a heterogeneous group who are growing in numbers and complexity, partly due to successes of critical care. Because of their prevalence, prolonged stays, readmissions, and other resource use, they disproportionately impact PICUs. Often more than other patients, critical illness can substantially negatively affect these children and their families, physically and psychosocially. Critical care approaches narrowly focused on acute care and transitory/rotating care models exacerbate these problems and contribute to ineffective communication and information sharing, impaired relationships, subpar and untimely decision-making, patient/family dissatisfaction, and moral distress in providers. Strategies to mitigate these effects and address these patients' distinctive needs include improving continuity and communication, primary and secondary palliative care, and involvement of families. However, there are limited outcome data for most of these strategies and little consensus on which outcomes should be measured.

CONCLUSIONS

The future of pediatric critical care medicine is intertwined with that of children with serious chronic illness. More concerted efforts are needed to address their distinctive needs and study the effectiveness of strategies to do so.

Fifteen-year trajectories of multimorbidity and polypharmacy in Dutch primary care—A longitudinal analysis of age and sex patterns

Objective

After stratifying for age, sex and multimorbidity at baseline, our aim is to analyse time trends in incident multimorbidity and polypharmacy in the 15-year clinical trajectories of individual patients in a family medicine setting.

Methods

This study was carried out using data from the Registration Network Family Medicine in the South of the Netherlands. The clinical trajectories of 10037 subjects during the 15-year period (2000–2014) were analyzed in a repeated measurement of using a generalized estimating equations model as well as a multilevel random intercept model with repeated measurements to determine patterns of incident multimorbidity and polypharmacy. Hierarchical age-period-cohort models were used to generate age and cohort trajectories for comparison with prevalence trends in multimorbidity literature.

Results

Multimorbidity was more common in females than in males throughout the duration of the 15-year trajectory (females: 39.6%; males: 33.5%). With respective ratios of 11.7 and 5.9 between the end and the beginning of the 15-year period, the youngest female and male groups showed a substantial increase in multimorbidity prevalence. Ratios in the oldest female and male groups were 2.2 and 1.9 respectively. Females had higher levels of multimorbidity than males in the 0-24-year and 25-44-year age groups, but the levels converged to a prevalence of 92.2% in the oldest male and 90.7% in the oldest female group. Similar, albeit, moderate differences were found in polypharmacy patterns.

Conclusions

We sought to specify the progression of multimorbidity from an early age. As a result, our study adds to the multimorbidity literature by specifying changes in chronic disease accumulation with relation to polypharmacy, and by tracking differences in patient trajectories according to age and sex. Multimorbidity and polypharmacy are common and their prevalence is accelerating, with a relatively rapid increase in younger groups. From the point of view of family medicine, this underlines the need for a longitudinal approach and a life course perspective in patient care.

Association of Perinatal Factors With Severe Obesity and Dyslipidemia in Adulthood

Background:

Perinatal factors including gestational age, birthweight, size for gestational age, delivery route, maternal parity, maternal age, maternal education, socioeconomic status, race, and sex, are associated with the future risk of obesity and co-morbid conditions. This study evaluated the relationship of birthweight for gestational age and perinatal factors with severe obesity and dyslipidemia in adulthood.

Methods:

We conducted a population-based, retrospective birth cohort study of infants born to residents of Olmsted County, MN between 1976 and 1982. Outcomes were assessed after age 18 years until October 2020, including severe obesity (BMI ≥ 40 kg/m²) and dyslipidemia (total cholesterol ≥200 mg/dL, non-high density lipoprotein [non-HDL] cholesterol ≥145 mg/dL or HDL cholesterol <40 mg/dL). We obtained mother’s age, education level, and parity as well as newborn sex, race, type of delivery, single/multiple birth, gestational age, and birthweight from birth certificate data. Individual-level socioeconomic status (SES) of the household at birth was determined with the HOUSES index.

Results:

Of 10 938 birth cohort subjects, 7394 had clinic visits after age 18 years and were included, with 2630 having severe obesity (n = 798) or dyslipidemia (n = 2357) as adults. In multivariable models, female sex, singleton birth, less maternal education, and lower SES defined by HOUSES were independently associated with an increased risk of severe obesity in adulthood. Non-white race, singleton birth, and lower birthweight were independently associated with adult dyslipidemia. Birthweight for gestational age was not associated with severe obesity or dyslipidemia.

Conclusion:

Perinatal factors were associated with both severe obesity and dyslipidemia in adulthood. Lower SES at birth was predictive of severe obesity in adulthood, highlighting the opportunity to investigate modifiable perinatal social determinants to reduce the risk of severe obesity.

Role of Geographic Risk Factors and Social Determinants of Health in COVID-19 Epidemiology: Longitudinal Geospatial Analysis in a Midwest Rural Region

Background:

Studies examining the role of geographic factors in coronavirus disease-2019 (COVID-19) epidemiology among rural populations are lacking.

Methods:

Our study is a population-based longitudinal study based on rural residents in four southeast Minnesota counties from March through October 2020. We used a kernel density estimation approach to identify hotspots for COVID-19 cases. Temporal trends of cases and testing were examined by generating a series of hotspot maps during the study period. Household/individual-level socioeconomic status (SES) was measured using the HOUSES index and examined for association between identified hotspots and SES.

Results:

During the study period, 24,243 of 90,975 residents (26.6%) were tested for COVID-19 at least once; 1498 (6.2%) of these tested positive. Compared to other rural residents, hotspot residents were overall younger (median age: 40.5 vs 43.2), more likely to be minorities (10.7% vs 9.7%), and of higher SES (lowest HOUSES [SES] quadrant: 14.6% vs 18.7%). Hotspots accounted for 30.1% of cases (14.5% of population) for rural cities and 60.8% of cases (27.1% of population) for townships. Lower SES and minority households were primarily affected early in the pandemic and higher SES and non-minority households affected later.

Conclusion:

In rural areas of these four counties in Minnesota, geographic factors (hotspots) play a significant role in the overall burden of COVID-19 with associated racial/ethnic and SES disparities, of which pattern differed by the timing of the pandemic (earlier in pandemic vs later). The study results could more precisely guide community outreach efforts (e.g., public health education, testing/tracing, and vaccine roll out) to those residing in hotspots.

A study of paediatric patients with complex chronic conditions admitted to a paediatric department over a 12 month period

INTRODUCTION

The number of patients with complex chronic conditions (CCC) has increased in the last 20 years or so. There is limited data as regards the prevalence of CCC in the paediatric population and its impact on hospital admissions. The main objectives of this study are to determine the proportion of CCC in the paediatric hospital population and compare them with other groups of patients admitted (acute and chronic).

PATIENTS AND METHODS

A descriptive, retrospective study was carried out in a tertiary maternity-paediatric hospital (from December 2016 to November 2017). All patients admitted into the Paediatric Department were recruited with a fortnightly frequency. A series of demographic, clinical, and pregnancy data were collected. In order to identify the level of complexity of the patients, the Clinical Risk Group (CRG) was used, with 3 groups being created: acute, chronic, and CCC. Statistics analysis was performed using SPSS v24.

RESULTS

A total of 1433 patients were included. The proportion of CCC on the Paediatric Ward was 14.4%. The CCC were older patients, mainly admitted due to decompensation or progression of their underlying disease, had a longer admission time, and required support in the Paediatric Intensive Care Unit (PICU) more often than that of the other sub-groups. Just under half (44.7%) of the CCC were carriers of a technological device. Of the total of long stays (>1 month), 71.3% had CCC.

CONCLUSIONS

Patients with CCC require long hospital stays, a greater need of intensive care, and use of technology. New approaches to treatment and follow-up need to be established. They should be cost-effective, and at the same time decrease the impact of the disease on the children and their family.

Outcomes for gastrostomy-fed children and their parents: qualitative findings from the 'Your Tube' study

AIM

To identify child and parent outcomes relevant to having a gastrostomy, and to specify outcomes believed to be particularly salient to type of diet (formula vs blended food).

METHOD

Twenty parents, two children (both 12y), and 41 professionals (dietitians [n=10]; nurses [n=12]; paediatricians [n=12]; speech and language therapists [n=7)]) were recruited. Parents and children were interviewed; professionals participated in focus groups. Children (2-18y) represented included those on formula (n=11), blended-food (n=7), and mixed (n=2) diets. All had been tube-fed for at least 6 months. Neurological, genetic, and metabolic conditions were represented.

RESULTS

Participants identified a range of children's outcomes relevant to a gastrostomy, including physical health, gastrointestinal symptoms, sleep, and time spent feeding. The children described experiences of exclusion caused by being tube-fed. Time, sleep, and emotional health were regarded as most salient to understanding parents' gastrostomy outcomes. Participants believed type of diet would most likely effect gastrointestinal symptoms, time spent feeding, sleep, and physical health.

INTERPRETATION

Findings indicate a number of refinements to, and allow further specification of, the current 'initial' core outcome set for tube-fed children. Findings also have implications for choice of outcomes measures. Further qualitative research with children and young people is needed. What this paper adds Sleep is a key outcome for children and parents. Gastrointestinal symptoms and physical health were regarded as outcomes most likely to be affected by type of diet. Well-being and participation were identified as key distal outcomes. Gastrostomies are complex interventions. Further specification of the core outcome set is possible.

Role of Geographic Risk Factors in COVID-19 Epidemiology: Longitudinal Geospatial Analysis

Objective

To perform a geospatial and temporal trend analysis for coronavirus disease 2019 (COVID-19) in a Midwest community to identify and characterize hot spots for COVID-19.

Participants and Methods

We conducted a population-based longitudinal surveillance assessing the semimonthly geospatial trends of the prevalence of test confirmed COVID-19 cases in Olmsted County, Minnesota, from March 11, 2020, through October 31, 2020. As urban areas accounted for 84% of the population and 86% of all COVID-19 cases in Olmsted County, MN, we determined hot spots for COVID-19 in urban areas (Rochester and other small cities) of Olmsted County, MN, during the study period by using kernel density analysis with a half-mile bandwidth.

Results

As of October 31, 2020, a total of 37,141 individuals (30%) were tested at least once, of whom 2433 (7%) tested positive. Testing rates among race groups were similar: 29% (black), 30% (Hispanic), 25% (Asian), and 31% (white). Ten urban hot spots accounted for 590 cases at 220 addresses (2.68 cases per address) as compared with 1843 cases at 1292 addresses in areas outside hot spots (1.43 cases per address). Overall, 12% of the population residing in hot spots accounted for 24% of all COVID-19 cases. Hot spots were concentrated in neighborhoods with low-income apartments and mobile home communities. People living in hot spots tended to be minorities and from a lower socioeconomic background.

Conclusion

Geographic and residential risk factors might considerably account for the overall burden of COVID-19 and its associated racial/ethnic and socioeconomic disparities. Results could geospatially guide community outreach efforts (eg, testing/tracing and vaccine rollout) for populations at risk for COVID-19.

The incidence of multimorbidity and patterns in accumulation of chronic conditions: A systematic review

Multimorbidity, the presence of 1+ chronic condition in an individual, remains one of the greatest challenges to health on a global scale. Although the prevalence of multimorbidity has been well-established, its incidence is not fully understood. This systematic review determined the incidence of multimorbidity across the lifespan; the order in which chronic conditions accumulate to result in multimorbidity; and cataloged methods used to determine and report accumulation of chronic conditions resulting in multimorbidity. Studies were identified by searching MEDLINE, Embase, CINAHL, and Cochrane electronic databases. Two independent reviewers evaluated studies for inclusion and performed quality assessments. Of 36 included studies, there was high heterogeneity in study design and operational definitions of multimorbidity. Studies reporting incidence (n = 32) reported a median incidence rate of 30.7 per 1,000 person-years (IQR 39.5 per 1,000 person-years) and a median cumulative incidence of 2.8% (IQR 28.7%). Incidence was notably higher for persons with older age and 1+ chronic conditions at baseline. Studies reporting patterns in accumulation of chronic conditions (n = 5) reported hypertensive and heart diseases, and diabetes, as among the common starting conditions resulting in later multimorbidity. Methods used to discern patterns were highly heterogenous, ranging from the use of latent growth trajectories to divisive cluster analyses, and presentation using alluvial plots to cluster trajectories. Studies reporting the incidence of multimorbidity and patterns in accumulation of chronic conditions vary greatly in study designs and definitions used. To allow for more accurate estimations and comparison, studies must be transparent and consistent in operational definitions of multimorbidity applied.

[A study of paediatric patients with complex chronic conditions admitted to a paediatric department over a 12 month period]

INTRODUCTION

The number of patients with complex chronic conditions (CCC) has increased in the last 20 years or so. There is limited data as regards the prevalence of CCC in the paediatric population and its impact on hospital admissions. The main objectives of this study are to determine the proportion of CCC in the paediatric hospital population and compare them with other groups of patients admitted (acute and chronic).

PATIENTS AND METHODS

A descriptive, retrospective study was carried out in a tertiary maternity-paediatric hospital (from December 2016 to November 2017). All patients admitted into the Paediatric Department were recruited with a fortnightly frequency. A series of demographic, clinical, and pregnancy data were collected. In order to identify the level of complexity of the patients, the Clinical Risk Group (CRG) was used, with 3groups being created: acute, chronic, and CCC. Statistics analysis was performed using SPSS v24.

RESULTS

A total of 1,433 patients were included. The proportion of CCC on the Paediatric Ward was 14.4%. The CCC were older patients, mainly admitted due to decompensation or progression of their underlying disease, had a longer admission time, and required support in the Paediatric Intensive Care Unit more often than that of the other sub-groups. Just under half (44.7%) of the CCC were carriers of a technological device. Of the total of long stays (>1 month), 71.3% had CCC.

CONCLUSIONS

Patients with CCC require long hospital stays, a greater need of intensive care, and use of technology. New approaches to treatment and follow-up need to be established. They should be cost-effective, and at the same time decrease the impact of the disease on the children and their family.