In order to identify which health care aspects play a role in patient satisfaction and quality of health care, the present study analyses a large number of instances of complaint and praise. One thousand two hundred and thirty-five instances of complaint and one thousand five hundred thirty-six of praise submitted from patients or other souces (i.e. a patient's family member or a legal representative) to a northern-Italian hospital were analysed. We adopted Reader and colleagues’ (2014) patients’ complaint taxonomy, in conjunction with a detailed content analysis of relationship and communication of information aspects. The most frequent causes of complaint concerned care system management (68.1%), particularly the time taken to access treatment, and relationship aspects (52.8%). The importance of relationship aspects was confirmed by the expression of gratitude through praise (89%). The most critical factor of the relationship domain was effective communication of information to the patient (39.3%). Frequently patients complained of: (i) having received information that was inconsistent with the truth, (ii) having had difficulty in obtaining information, and (iii) untimely communication of information. Clinical aspects did not seem to be the main factors that triggered a complaint (36,8%), and, when indicated, they were almost always associated with relationship issues. This study indicates that not only complaints, but also instances of praise, are a potentially important source of information regarding health care aspects that play a role in patient satisfaction and quality of care. Our findings underline the relevance of relationship aspects in determining patients’ satisfaction with the care received. In particular, health practitioners should focus their attention on how information is understood, translated and applied by patients.
Uterine sarcomas are rare cancers, sometimes diagnosed in women of childbearing age. Hysterectomy is the standard treatment in early stages. The option of lesion removal to save fertility is described in the literature, but it is still considered experimental. The objective of this systematic review is to report on the available evidence on the reproductive and oncological outcomes of fertility-sparing treatment in women with uterine sarcomas. PubMed, Scopus and Cochrane Central Register of Controlled Trials were searched between 1 January 2011 and 21 June 2021 for publications in English about women with uterine sarcoma treated with a fertility-sparing intervention. Thirty-seven studies were included for a total of 210 patients: 63 low-grade endometrial stromal sarcomas, 35 embryonal rhabdomyosarcomas of the cervix, 19 adenosarcomas, 7 leiomyosarcomas and 2 uterine tumors resembling an ovarian sex cord. Conservative treatment ensured pregnancy in 32% of cases. In terms of oncological outcomes, relapse was related to histology and the worst prognosis was reported for leiomyosarcoma, followed by low-grade endometrial stromal sarcoma, which relapsed in 71% and 54% of cases, respectively. The highest death rate was associated with leiomyosarcoma (57.1%). This study demonstrated that fertility-sparing treatments may be employed in selected cases of early stage uterine sarcoma.
Background: Recently, artificial intelligence (AI) with computerized imaging analysis is attracting the attention of clinicians, in particular for its potential applications in improving cancer diagnosis. This review aims to investigate the contribution of radiomics and AI on the radiological preoperative assessment of patients with uterine sarcomas (USs). Methods: Our literature review involved a systematic search conducted in the last ten years about diagnosis, staging and treatments with radiomics and AI in USs. The protocol was drafted according to the systematic review and meta-analysis preferred reporting project (PRISMA-P) and was registered in the PROSPERO database (CRD42021253535). Results: The initial search identified 754 articles; of these, six papers responded to the characteristics required for the revision and were included in the final analysis. The predominant technique tested was magnetic resonance imaging. The analyzed studies revealed that even though sometimes complex models included AI-related algorithms, they are still too complex for translation into clinical practice. Furthermore, since these results are extracted by retrospective series and do not include external validations, currently it is hard to predict the chances of their application in different study groups. Conclusion: To date, insufficient evidence supports the benefit of radiomics in USs. Nevertheless, this field is promising but the quality of studies should be a priority in these new technologies.
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IRCCS AZIENDA OSPEDALIERO-UNIVERSITARIA DI BOLOGNA, POLICLINICO DI SANT'ORSOLA
IRCCS AZIENDA OSPEDALIERO-UNIVERSITARIA DI BOLOGNA, POLICLINICO DI SANT'ORSOLA