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1.
Open Forum Infect Dis ; 10(8): ofad421, 2023 Aug.
Article in English | MEDLINE | ID: mdl-37654786

ABSTRACT

We describe a unique case of a 43-year-old-female with a Bordetella bronchiseptica infection caused by zoonotic transmission following vaccination of her dog. With this report, we want to raise awareness of potential zoonotic transmission of live attenuated vaccines from animals to patients with impaired immunity.

2.
Patient Prefer Adherence ; 12: 1113-1122, 2018.
Article in English | MEDLINE | ID: mdl-29983549

ABSTRACT

INTRODUCTION: Self-care is an important patient-reported outcome (PRO) for heart failure (HF) patients, which might be affected by disease management and/or telemonitoring (TM). The number of studies reporting the influence of TM on self-care is limited. AIMS: This study aimed: to assess whether TM, in addition to information-and-communication-technology (ICT)-guided disease management system (ICT-guided DMS), affects self-care behavior; to evaluate the dynamics of self-care during the study; to investigate factors contributing to self-care changes; and to identify a patient profile that predisposes the patient to improvement in self-care. METHODS: In the INnovative ICT-guided-DMS combined with Telemonitoring in OUtpatient clinics for Chronic HF patients (IN TOUCH) study, 177 patients were randomized to either ICT-guided DMS or TM+ICT-guided DMS, with a follow-up of 9 months. The current analysis included 118 participants (mean age: 69±11.5 years; 70% male) who filled the following PRO instruments: the nine-item European Heart Failure Self-care Behaviour scale (EHFScBs), Hospital Anxiety and Depression scale (HADs), and Minnesota Living with HF Questionnaire (MLHFQ). RESULTS: The baseline level of self-care was better in the TM+ICT-guided-DMS group (n=58) compared to ICT-guided-DMS group (n=60, p=0.023). Self-care behavior improved in the ICT-guided-DMS group (p<0.01) but not in the TM+ICT-guided-DMS group. Factors associated with self-care worsening were as follows: higher physical subscale of MLHFQ (per 10 points, p<0.05), lower left ventricular ejection fraction (LVEF) (per 5%, p<0.05), lower New York Heart Association (NYHA) class (class III vs class II, p<0.05). The subgroups of patients who had an initial EHFScBs total score >28, or from 17 to 28 with concomitant HADs depression subscale (HADs_D) score ≤8, demonstrated the greatest potential to improve self-care during the study. CONCLUSION: TM did not have an advantage on self-care improvement. Poor physical aspect of quality of life, lower LVEF, and lower NYHA class were associated with self-care worsening. The greatest self-care improvement may be achieved in those patients who have low or medium initial self-care level in the absence of depression.

3.
Int J Med Inform ; 85(1): 53-60, 2016 Jan.
Article in English | MEDLINE | ID: mdl-26514079

ABSTRACT

AIM: It is still unclear whether telemonitoring reduces hospitalization and mortality in heart failure (HF) patients and whether adding an Information and Computing Technology-guided-disease-management-system (ICT-guided-DMS) improves clinical and patient reported outcomes or reduces healthcare costs. METHODS: A multicenter randomized controlled trial was performed testing the effects of INnovative ICT-guided-DMS combined with Telemonitoring in OUtpatient clinics for Chronic HF patients (IN TOUCH) with in total 179 patients (mean age 69 years; 72% male; 77% in New York Heart Association Classification (NYHA) III-IV; mean left ventricular ejection fraction was 28%). Patients were randomized to ICT-guided-DMS or to ICT-guided-DMS+telemonitoring with a follow-up of nine months. The composite endpoint included mortality, HF-readmission and change in health-related quality of life (HR-QoL). RESULTS: In total 177 patients were eligible for analyses. The mean score of the primary composite endpoint was -0.63 in ICT-guided-DMS vs. -0.73 in ICT-guided-DMS+telemonitoring (mean difference 0.1, 95% CI: -0.67 +0.82, p=0.39). All-cause mortality in ICT-guided-DMS was 12% versus 15% in ICT-guided-DMS+telemonitoring (p=0.27); HF-readmission 28% vs. 27% p=0.87; all-cause readmission was 49% vs. 51% (p=0.78). HR-QoL improved in most patients and was equal in both groups. Incremental costs were €1360 in favor of ICT-guided-DMS. ICT-guided-DMS+telemonitoring had significantly fewer HF-outpatient-clinic visits (p<0.01). CONCLUSION: ICT-guided-DMS+telemonitoring for the management of HF patients did not affect the primary and secondary endpoints. However, we did find a reduction in visits to the HF-outpatient clinic in this group suggesting that telemonitoring might be safe to use in reorganizing HF-care with relatively low costs.


Subject(s)
Disease Management , Heart Failure/physiopathology , Heart Failure/therapy , Information Systems , Monitoring, Physiologic , Telemedicine , Aged , Female , Humans , Male , Middle Aged
4.
Eur J Heart Fail ; 15(10): 1113-21, 2013 Oct.
Article in English | MEDLINE | ID: mdl-23650130

ABSTRACT

AIMS: Knowledge of patient preferences is vital for delivering optimal healthcare. This study uses utility measurement to assess the preferences of heart failure (HF) patients regarding quality of life or longevity. The utility approach represents the perspective of a patient; facilitates the combination of mortality, morbidity, and treatment regimen into a single score; and makes it possible to compare the effects of different interventions in healthcare. METHODS AND RESULTS: Patient preferences of 100 patients with HF were assessed in interviews using the time trade-off (TTO) approach. Health-related quality of life (HR-QoL) was assessed with the EQ-5D and the Minnesota Living with Heart Failure Questionnaire (MLHFQ). Patients' own estimation of life expectancy was assessed with a visual analogue scale (VAS). Of the 100 patients (mean age 70 ± 9 years; 71% male), 61% attach more weight to quality of life over longevity; while 9% and 14% were willing to trade 6 and 12 months, respectively, for perfect health and attach more weight to quality of life. Patients willing to trade time had a significantly higher level of NT-proBNP and reported significantly more dyspnoea during exertion. Predictors of willingness to trade time were higher NT-proBNP and lower EQ VAS. CONCLUSION: The majority of HF patients attach more weight to quality of life over longevity. There was no difference between both groups with respect to life expectancy described by the patients. These insights enable open and personalized discussions of patients' preferences in treatment and care decisions, and could guide the future development of more patient-centred care.


Subject(s)
Heart Failure/psychology , Longevity , Patient Preference/psychology , Quality of Life/psychology , Aged , Aged, 80 and over , Attitude to Death , Attitude to Health , Depression/psychology , Dyspnea/psychology , Fatigue/psychology , Female , Health Status , Heart Failure/mortality , Humans , Logistic Models , Male , Middle Aged , Multivariate Analysis , Severity of Illness Index , Social Support
5.
Eur J Cardiovasc Nurs ; 12(3): 230-41, 2013 Jun.
Article in English | MEDLINE | ID: mdl-22707520

ABSTRACT

BACKGROUND: Patients with heart failure (HF) need long-term and complex care delivered by healthcare professionals in primary and secondary care. Although guidelines on optimal HF care exist, no specific description of components that are applied for optimal HF care at home exist. The objective of this review was to describe which components of HF (home) care are found in research studies addressing homecare interventions in the HF population. METHODS: The Pubmed, Embase, Cinahl, and Cochrane databases were searched using HF-, homecare services-, and clinical trial-related search terms. RESULTS: The literature search identified 703 potentially relevant publications, out of which 70 articles were included. All articles described interventions with two or more of the following components: multidisciplinary team, continuity of care and care plans, optimized treatment according to guidelines, educational and counselling of patients and caregivers, and increased accessibility to care. Most studies (n=65, 93%) tested interventions with three components or more and 20 studies (29%) used interventions including all five components. CONCLUSIONS: There a several studies on HF care at home, testing interventions with a variety in number of components. Comparing the results to current standards, aspects such as collaboration between primary care and hospital care, titration of medication, and patient education can be improved.


Subject(s)
Heart Failure/therapy , Home Care Services/organization & administration , Continuity of Patient Care/organization & administration , Humans , Patient Care Team/organization & administration , Patient Education as Topic/organization & administration
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