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1.
Complement Ther Clin Pract ; 33: 164-169, 2018 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-30396616

RESUMO

Informal caregivers of allogeneic hematopoietic cell transplant patients experience significant levels of stress throughout the caregiving process. One strategy that has been shown to aid in stress management in other populations is mindfulness. The goal of this study was to understand caregivers' experiences with mindfulness and evaluate their receptiveness to a mindfulness-based stress management program. Data were collected via in-depth phone interviews from 18 caregivers (55% female). Results indicated that about half the sample was familiar with mindfulness and/or had practiced meditation. The majority indicated that they believed a mindfulness program would have been useful for them and that they would have been willing to participate. Most indicated that a program delivered once-weekly for 60 min, during both inpatient and outpatient phases, would be preferable through a combination of in-person and mobile-based delivery. These data provide critical information for the development of future mindfulness-based interventions for this caregiving population.


Assuntos
Cuidadores/psicologia , Atenção Plena , Neoplasias , Estresse Psicológico , Adaptação Psicológica , Adulto , Feminino , Transplante de Células-Tronco Hematopoéticas/psicologia , Humanos , Masculino , Pessoa de Meia-Idade , Atenção Plena/métodos , Atenção Plena/estatística & dados numéricos , Neoplasias/psicologia , Neoplasias/terapia , Estresse Psicológico/etiologia , Estresse Psicológico/prevenção & controle , Resultado do Tratamento
2.
Clin Toxicol (Phila) ; 50(8): 781-7, 2012 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-22889059

RESUMO

CONTEXT: High volume surges in health care are uncommon and unpredictable events. Their impact on health system performance and capacity is difficult to study. OBJECTIVES: To identify time periods that exhibited very busy conditions at a poison control center and to determine whether cases and communication during high volume call periods are different from cases during low volume periods. METHODS: Call data from a US poison control center over twelve consecutive months was collected via a call logger and an electronic case database (Toxicall®).Variables evaluated for high call volume conditions were: (1) call duration; (2) number of cases; and (3) number of calls per staff member per 30 minute period. Statistical analyses identified peak periods as busier than 99% of all other 30 minute time periods and low volume periods as slower than 70% of all other 30 minute periods. Case and communication characteristics of high volume and low volume calls were compared using logistic regression. RESULTS: A total of 65,364 incoming calls occurred over 12 months. One hundred high call volume and 4885 low call volume 30 minute periods were identified. High volume periods were more common between 1500 and 2300 hours and during the winter months. Coded verbal communication data were evaluated for 42 high volume and 296 low volume calls. The mean (standard deviation) call length of these calls during high volume and low volume periods was 3 minutes 27 seconds (1 minute 46 seconds) and 3 minutes 57 seconds (2 minutes 11 seconds), respectively. Regression analyses revealed a trend for fewer overall verbal statements and fewer staff questions during peak periods, but no other significant differences for staff-caller communication behaviors were found. CONCLUSION: Peak activity for poison center call volume can be identified by statistical modeling. Calls during high volume periods were similar to low volume calls. Communication was more concise yet staff was able to maintain a good rapport with callers during busy call periods. This approach allows evaluation of poison exposure call characteristics and communication during high volume periods.


Assuntos
Comunicação , Modelos Estatísticos , Centros de Controle de Intoxicações/estatística & dados numéricos , Telefone/estatística & dados numéricos , Bases de Dados Factuais , Humanos , Modelos Logísticos , Centros de Controle de Intoxicações/normas , Análise de Regressão , Fatores de Tempo , Estados Unidos
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