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1.
Contemp Clin Trials ; 103: 106297, 2021 04.
Article in English | MEDLINE | ID: mdl-33515786

ABSTRACT

INTRODUCTION: A lack of effective coordination and communication between ambulatory care physicians and hospitals, including the lack of follow-up care, poses a challenge to the recovery process of patients suffering from cardiac disease, often resulting in rehospitalisation and adverse outcomes. This innovative care programme aims to bridge the gap between ambulatory and hospital care. A key element of this programme is specifically trained care managers (Cardiolotse) who provide post-discharge support, access to additional resources and help the patient to navigate successfully through the healthcare system. MATERIAL AND METHODS: The study is set up as a prospective, randomised, controlled trial. Allocation to intervention group (support of care managers) and control group (usual care) follows an allocation ratio of 1:1 using block randomisation. Sample size calculations resulted in 1454patients per group after adjusting for potential non-compliance. All participants are surveyed at discharge, after 3 and 12 months. The primary outcome of the study is the 12-month rehospitalisation rate. Secondary outcomes include differences in length of hospital stay, mortality, quality-adjusted life years, costs and patient satisfaction. Statistical analysis and economic evaluation will be complemented by a process evaluation. DISCUSSION: The new healthcare programme is designed to support patients when leaving hospital with cardiac conditions by easing the transition between sectors through access to Cardiolotses and individualised care plans. We hypothesise that the programme reduces rehospitalisation and improves clinically relevant patient outcomes. TRIAL REGISTRATION: German Clinical Trial Register, DRKS00020424. Registered 2020-06-18, http://www.drks.de/DRKS00020424.


Subject(s)
Heart Diseases , Quality Improvement , Aftercare , Delivery of Health Care , Heart Diseases/therapy , Humans , Patient Discharge , Prospective Studies , Randomized Controlled Trials as Topic
2.
Dtsch Arztebl Int ; 112(51-52): 878-83, 2015 12 21.
Article in English | MEDLINE | ID: mdl-26900154

ABSTRACT

BACKGROUND: Ever since higher overall mortality rates due to heat stress were reported during the European heat waves of 2003 and 2006, the relation between heat waves and disease-specific events has been an object of scientific study. The effects of heat waves on the morbidity and mortality of persons with chronic lung disease remain unclear. METHODS: We conducted a systematic search using PubMed, the Cochrane Library, and Google Advanced Search to identify relevant studies published between 1990 and 2015. The reference lists of the primarily included articles were searched for further pertinent articles. All articles were selected according to the PRISMA guidelines. The heat-wave-related relative excess mortality was descriptively expressed as a mean daily rate ratio ([incidence 1]/[incidence 2]), and the cumulative excess risk (CER) was expressed in percent. RESULTS: 33 studies with evaluable raw data concerning the effect of heat waves on patients with chronic lung disease (chronic obstructive pulmonary disease, bronchial asthma, pulmonary arterial hypertension, and idiopathic pulmonary fibrosis) were analyzed in this review. By deriving statistics from the overall data set, we arrived at the conclusion that future heat waves will-with at least 90% probability-result in a mean daily excess mortality (expressed as a rate ratio) of at least 1.018, and-with 50% probability-in a mean daily excess mortality of at least 1.028. These figures correspond, respectively, to 1.8% and 2.8% rises in the daily risk of death. CONCLUSION: Heat waves significantly increase morbidity and mortality in patients with chronic lung disease. The argument that the excess mortality during heat waves is compensated for by a decrease in mortality in the subsequent weeks/months (mortality displacement) should not be used as an excuse for delay in implementing adaptive strategies to protect lung patients from this risk to their health.


Subject(s)
Climate Change/mortality , Climate Change/statistics & numerical data , Heat Stress Disorders/mortality , Lung Diseases/epidemiology , Lung Diseases/mortality , Weather , Adolescent , Adult , Age Distribution , Aged , Aged, 80 and over , Chronic Disease , Humans , Lung Diseases/diagnosis , Middle Aged , Prevalence , Risk Factors , Survival Rate , Young Adult
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