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1.
Patient Educ Couns ; 105(5): 1138-1151, 2022 05.
Article in English | MEDLINE | ID: mdl-34489147

ABSTRACT

CONTEXT: Goals-of-care communication (GOCC) is recommended to increase the value of cancer care near the end of life (EOL). OBJECTIVES: Conduct a systematic review of the evidence that GOCC is associated with higher-value care. METHODS: We searched PubMed, Scopus, Ovid MEDLINE, EMBASE, EMB Reviews, CINAHL, and PsycInfo from inception to July 2019. We analyzed the population,design, and results and the authors' definitions of GOCC. Risk of bias was assessed. RESULTS: Thirty-two articles were selected. Ten articles reported results from 8 interventions; 17 characterized participants' perspectives; and 5 were retrospective The topics, behaviors, timing, and anticipated outcomes of GOCC varied significantly and were indistinguishable from practices such as advance care planning. GOCC typically focused on treatment outcomes rather than patients' goals. Four of 5 interventions increased evidence of GOCC after clinician training. Only one reported improved patient outcomes. CONCLUSION: No consensus exists about what GOCC entails. There is limited evidence that GOCC increases the value of EOL care. PRACTICE IMPLICATIONS: Future studies should focus on how to engage patients in conversations about their personal goals and integrate their goals into care planning. Clinicians can encourage GOCC by explaining how patients' goals influence decisions especially as treatment options become limited.


Subject(s)
Advance Care Planning , Neoplasms , Terminal Care , Communication , Humans , Neoplasms/therapy , Patient Care Planning , Retrospective Studies , Terminal Care/methods
2.
J Med Libr Assoc ; 108(4): 675-677, 2020 Oct 01.
Article in English | MEDLINE | ID: mdl-33013230

ABSTRACT

Ovid Discovery. Ovid Technologies, Global Headquarters, 333 Seventh Avenue, 20th Floor, New York, NY 10001; 800.950.2035; support@ovid.com; https://tools.ovid.com/oviddiscovery/index.html; institutional subscriptions only, contact for pricing.


Subject(s)
Databases, Bibliographic , Software , Humans
3.
Chest ; 157(5): 1346-1353, 2020 05.
Article in English | MEDLINE | ID: mdl-31958444

ABSTRACT

BACKGROUND: The concerns regarding air leak after lung surgery or spontaneous pneumothorax include detection and duration. Prior studies have suggested that digital drainage systems permit shorter chest tube duration and hospital length of stay (LOS) by earlier detection of air leak cessation. We conducted a systematic review to assess the impact of digital drainage on chest tube duration and hospital LOS after pulmonary surgery and spontaneous pneumothorax. METHODS: Ovid MEDLINE, PubMed, Embase, the Cochrane Library, Scopus, and Google Scholar were searched from inception through January 2019. We included randomized controlled trials, cohort studies, and case series of adult patients, using digital or traditional drainage devices for air leaks of either postsurgical or spontaneous pneumothorax origin. RESULTS: Of 1,272 references reviewed, 23 articles were included. Nineteen articles addressed postoperative air leak, and four articles pertained to air leak after spontaneous pneumothorax. Thirteen studies were randomized controlled trials. Digital drainage resulted in significantly shorter chest tube duration in eight of 18 studies and shorter hospital LOS in six of 14 studies for postoperative air leak. For postpneumothorax air leak, digital drainage resulted in significantly shorter chest tube duration in two of three studies and hospital LOS in one of two studies with an analog control group. CONCLUSIONS: Most studies show no significant differences in chest tube duration and hospital LOS with digital vs analog drainage systems for patients with air leak after pulmonary resection. For post-spontaneous pneumothorax air leak, the limited published evidence suggests shorter chest tube duration and hospital LOS with digital drainage systems.


Subject(s)
Drainage/methods , Pneumonectomy/adverse effects , Pneumothorax/etiology , Pneumothorax/surgery , Chest Tubes , Humans , Length of Stay/statistics & numerical data
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