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1.
BMJ Paediatr Open ; 8(Suppl 7)2024 Aug 30.
Artículo en Inglés | MEDLINE | ID: mdl-39214556

RESUMEN

OBJECTIVES: There is little experience in implementing the WHO Standards for improving the quality of care (QOC) for children. We describe the use of 75 WHO-Standard based Quality Measures to assess paediatric QOC, using health workers (HWs) as data sources. DESIGN: Cross-sectional study. SETTING: 12 Italian hospitals. PARTICIPANTS: The minimum target of 75% of HWs was reached in all facilities; answers from 598 HWs were analysed. PRIMARY AND SECONDARY OUTCOME MEASURES: 75 prioritised WHO Quality Measures were collected using a validated, and Italian-language questionnaire exploring views of HWs providing care to children. A QOC index was also calculated based on the assessed Quality Measures. RESULTS: In both the domain of resources and work organisation, most Quality Measures showed a high overall frequency of reported 'need for improvement', with high variability across hospitals. Key needs for improvement included: availability of clear and complete protocols (eg, on paediatric emergencies: 44.6%; range 10.6%-92.6%); clear hospitalisation criteria for diarrhoea (50.5%; range 30.3%-71.7%); number of hand-washing stations (13.2%; range 3.4%-37.0%); equipped working rooms with computers for HWs (66.1%; range: 32.1%-97.0%); training (eg, on pain management: 43.5%; range 17.9%-76.7%), periodic discussion of clinical cases (43.5%; range 8.1%-83.7%) audits (48.8%; range 29.7%-76.7%); and all indicators related to system to improve QOC. Factors significantly associated with a lower QOC Index included HWs working in facilities in Southern Italy (p=0.001) and absence of a paediatric emergency department (p=0.011). CONCLUSIONS: The use of the 75 prioritised Quality Measures, specific to HWs provide valuable data on paediatric QOC, which can be used to drive a quality improvement process.


Asunto(s)
Personal de Salud , Organización Mundial de la Salud , Humanos , Italia , Estudios Transversales , Personal de Salud/normas , Personal de Salud/estadística & datos numéricos , Niño , Encuestas y Cuestionarios , Calidad de la Atención de Salud/normas , Femenino , Masculino , Mejoramiento de la Calidad , Pediatría/normas , Indicadores de Calidad de la Atención de Salud/normas
3.
Front Endocrinol (Lausanne) ; 13: 878634, 2022.
Artículo en Inglés | MEDLINE | ID: mdl-35784550

RESUMEN

Aim/Hypothesis: To compare the frequency of diabetic ketoacidosis (DKA) at diagnosis of type 1 diabetes in Italy during the COVID-19 pandemic in 2020 with the frequency of DKA during 2017-2019. Methods: Forty-seven pediatric diabetes centers caring for >90% of young people with diabetes in Italy recruited 4,237 newly diagnosed children with type 1 diabetes between 2017 and 2020 in a longitudinal study. Four subperiods in 2020 were defined based on government-imposed containment measures for COVID-19, and the frequencies of DKA and severe DKA compared with the same periods in 2017-2019. Results: Overall, the frequency of DKA increased from 35.7% (95%CI, 33.5-36.9) in 2017-2019 to 39.6% (95%CI, 36.7-42.4) in 2020 (p=0.008), while the frequency of severe DKA increased from 10.4% in 2017-2019 (95%CI, 9.4-11.5) to 14.2% in 2020 (95%CI, 12.3-16.4, p<0.001). DKA and severe DKA increased during the early pandemic period by 10.4% (p=0.004) and 8% (p=0.002), respectively, and the increase continued throughout 2020. Immigrant background increased and high household income decreased the probability of presenting with DKA (OR: 1.55; 95%CI, 1.24-1.94; p<0.001 and OR: 0.60; 95 CI, 0.41-0.88; p=0.010, respectively). Conclusions/Interpretation: There was an increase in the frequency of DKA and severe DKA in children newly diagnosed with type 1 diabetes during the COVID-19 pandemic in 2020, with no apparent association with the severity of COVID-19 infection severity or containment measures. There has been a silent outbreak of DKA in children during the pandemic, and preventive action is required to prevent this phenomenon in the event of further generalized lockdowns or future outbreaks.


Asunto(s)
COVID-19 , Diabetes Mellitus Tipo 1 , Cetoacidosis Diabética , Adolescente , COVID-19/diagnóstico , COVID-19/epidemiología , Niño , Control de Enfermedades Transmisibles , Diabetes Mellitus Tipo 1/complicaciones , Diabetes Mellitus Tipo 1/diagnóstico , Diabetes Mellitus Tipo 1/epidemiología , Cetoacidosis Diabética/diagnóstico , Cetoacidosis Diabética/epidemiología , Humanos , Incidencia , Italia/epidemiología , Estudios Longitudinales , Pandemias
4.
EClinicalMedicine ; 39: 101067, 2021 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-34430836

RESUMEN

BACKGROUND: The Italian Lombardy region has been the epicenter of COVID-19 since February 2020. This study analyses the epidemiology of pediatric type 1 diabetes (T1D) onset during the first two pandemic waves and three previous years. METHODS: All the 13 pediatric diabetes centers in Lombardy prospectively evaluated charts of children at T1D onset (0-17 years), during year 2020. After calculating the annual incidence, the data were compared with those of the 3 previous years, using generalized linear models, adjusted for age and sex. Monthly T1D new onsets and diabetic ketoacidosis (DKA) were investigated yearly from 2017 to 2020. Data were extracted from outpatients charts of the pediatric diabetes centers and from the database of the national institute of statistics. FINDINGS: The estimated incidence proportion of T1D was 16/100·000 in 2020, compared to 14, 11 and 12 in 2019, 2018 and 2017, respectively. When adjusting for age and gender, the incidence was significantly lower in 2018 and 2017 compared to 2020 (adjusted incidence ratio: 0.73 and 0.77 respectively, with 95% CI: 0.63 to 0.84, and 0.67 to 0.83; p = 0·002 and p = 0·01), but no difference was found between the years 2020 and 2019. A reduction trend in the percentage of T1D diagnosis during the first wave (March-April) over the total year diagnoses was observed compared to previous years (11·7% in 2020, 17·7% in 2019, 14·1% in 2018 and 14·4% 2017). No difference was observed during the second wave (October-December) (32·8% in 2020, 33·8% in 2019, 34% in 2018, 30·7% in 2017). The proportion of DKA over the total T1D diagnoses during the second wave had higher trend than the first one (41·7% vs 33·3%), while severe DKA over the total DKA appeared higher during the first wave (60% vs 37·1%). INTERPRETATION: The study suggests an increase in the incidence of pediatric T1D in Lombardy throughout the past five years. Pandemic waves may have affected the clinical presentation at onset. FUNDING: None.

5.
J Clin Endocrinol Metab ; 93(6): 2122-8, 2008 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-18397988

RESUMEN

AIM: Our aim was to explore the relationship between insulin sensitivity, body fat distribution, ectopic (liver and skeletal muscle) fat deposition, adipokines (leptin and adiponectin), and inflammation markers (highly sensitive C-reactive protein, IL-6, IL-10, and TNF-alpha) in prepubertal children. SUBJECTS AND METHODS: Thirty overweight and obese children (16 males and 14 females with body mass index z-score range of 1.1-3.2) were recruited. Body fat distribution and fat accumulation in liver and skeletal muscle were measured using magnetic resonance imaging. Insulin sensitivity was assessed by iv glucose tolerance test. RESULTS: Insulin sensitivity was associated with sc abdominal adipose tissue (SAT) (r = -0.52; P < 0.01) and liver fat content (r = -0.44; P < 0.02) but not with visceral abdominal adipose tissue (VAT) (r = -0.193; P value not significant) and fat accumulation in skeletal muscle (r = -0.210; P value not significant). Adipokines, but not inflammation markers, were significantly correlated to insulin sensitivity. VAT correlated with C-reactive protein (r = 0.55; P < 0.01) as well as adiponectin (r = -0.53; P <0.01). Multiple regression analysis showed that only SAT and liver fat content were independently correlated to insulin sensitivity (P < 0.01; 20 and 16% of explained variance, respectively). CONCLUSIONS: In overweight and moderately obese prepubertal children, insulin sensitivity was negatively correlated with SAT and liver fat content. Furthermore, contrary to adults, VAT and inflammation markers were not correlated with insulin sensitivity in children.


Asunto(s)
Resistencia a la Insulina , Insulina/metabolismo , Grasa Intraabdominal/patología , Obesidad/patología , Sobrepeso/patología , Grasa Subcutánea/patología , Adiposidad/fisiología , Composición Corporal/fisiología , Índice de Masa Corporal , Niño , Estudios Transversales , Femenino , Humanos , Hígado/patología , Masculino , Músculo Esquelético/patología , Obesidad/metabolismo , Sobrepeso/metabolismo , Pubertad/fisiología
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