جستجوی مقالات مرتبط با کلیدواژه "overdiagnosis" در نشریات گروه "پزشکی"
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Exposure to ionizing radiation, especially during childhood, is a well-established risk factor for thyroid cancer. Following the 1986 Chernobyl nuclear power plant accident the total number of cases of thyroid cancer registered between 1991 and 2015 in males and females who were less than 18 years old exceeded 19,000 (in Belarus and Ukraine, and in the most contaminated oblasts of the Russian Federation). However, as indicated by the United Nations Scientific Committee on the Effects of Atomic Radiation the fraction of the incidence of thyroid cancer attributable to radiation exposure among the non-evacuated residents of the contaminated regions of Belarus, Ukraine and Russia is of the order of 0.25. Apparently, the increased registration of thyroid neoplasms in the parts of these countries is a classical ‘screening effect’, i.e., massive diagnostic examinations of the risk-aware populations performed with modern eqipment resulting in detection of many occult neoplasms (incidentalomas). Moreover, one type of thyroid cancer previously called ‘encapsulated follicular variant of papillary thyroid carcinoma’ is non-invasive and instead of ‘carcinoma’ should now be recognized as ‘noninvasive follicular thyroid neoplasm with papillary-like nuclear features.’ Other potential causes of overdiagnosing of thyroid tumors include increase of the spontaneous incidence rate of this disease with age, iodine deficiency among children from Belarus, Russia and Ukraine, and/or consumption by these children of drinking water containing high levels of nitrates that likely coincides with the carcinogenic effect of radiation on the thyroid gland.
Keywords: Chernobyl Accident, Thyroid Cancer, Radiation, Ionizing, Contamination, Incidence, Overdiagnosis -
Background
Providing unnecessary healthcare services is a major common problem in every health system. The scope and cause of healthcare services must be identified in order to be managed and controlled. Finding the most complete definition of the problem and its causes are the goals of this meta-synthesis.
MethodsA comprehensive search strategy was performed using a wide range of keywords and databases. Based on the defined inclusion and exclusion criteria, 22 articles were selected for content analysis and meta-synthesis. The Graneheim and Lundman method was used for content analysis. The MAXQDA software Version 18.2.0 was used for the first round of content analysis. Content analysis and meta-synthesis were used to comprehensively define the term “unnecessary healthcare services” and find the etiologic factors driving healthcare providers to unnecessary healthcare services.
ResultsThe term “unnecessary healthcare services” is defined as “overproviding healthcare services that could be harmful, lowvalue, insufficient, and inappropriate.” The etiologic pattern of unnecessary healthcare services shows intrinsic and extrinsic factors as a driving force for unnecessary healthcare services.
ConclusionA multilayer strategy for efficient management and prevention of unnecessary healthcare services is appropriate due to the multifaceted character of these services. This approach consists of the modification of the intrinsic factors and extrinsic drivers.
Keywords: Unnecessary Healthcare, Pharmaceuticalization, Ethics, Overdiagnosis, Overtreatment -
Interest has increased in the topic of de-implementation, ie, reducing so-called low-value care (LVC). The article “Key Factors That Promote Low-Value Care: Views From Experts From the United States, Canada, and the Netherlands” by Verkerk and colleagues identifies national-level factors affecting LVC use in those three countries. This commentary raises three critical points regarding the study. First, the study does not clearly define the national level. Secondly, national-level factors might not be relevant for all types of LVCs and thirdly, the study’s rather limited sample makes it difficult to draw firm conclusions. We also include some critical comments related to some of the study’s findings in relation to results of our recently published scoping review of the international literature on de-implementation and use of LVC and an interview study with primary care physicians on LVC use. Finally, we provide some suggestions for further research that we believe is needed to improve understanding of LVC use and facilitate its de-implementation.Keywords: Low-Value Care, De-Implementation, Overuse, Overtreatment, Overdiagnosis, Disinvestment
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Based on a summary of interviews with 18 experts, Verkerk et al defined the seven key factors that promoted lowvalue care, which included system, social, and knowledge factors. During the ongoing coronavirus disease 2019 (COVID-19) pandemic, these key factors have been influential due to the uncertainty of the disease at the beginning of the pandemic. Globally, several measures have been implemented to reduce low-value care practices and promote high-value care for COVID-19 patients. From huge multicenter, non-industry sponsored or multiplatform trials, to the use of social networks sites is an indispensable and effective way to disseminate medical information. Thanks to these measures, we have transformed a scenario of ignorance into an evidence-based medical scenario in less than a year. Verkerk and colleagues’ proposed key factors are an excellent framework for characterizing and highlighting the lessons that can be learnt from how we have fought against the pandemic and low-value practices.Keywords: Low-Value Care, De-Implementation, Medical Overuse, Overtreatment, Overdiagnosis, COVID-19
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Background
Around the world, policies and interventions are used to encourage clinicians to reduce low- value care. In order to facilitate this, we need a better understanding of the factors that lead to low-value care. We aimed to identify the key factors affecting low-value care on a national level. In addition, we highlight differences and similarities in three countries.
MethodsWe performed 18 semi-structured interviews with experts on low-value care from three countries that are actively reducing low-value care: the United States, Canada, and the Netherlands. We interviewed 5 experts from Canada, 6 from the United States, and 7 from the Netherlands. Eight were organizational leaders or policy-makers, 6 as low-value care researchers or project leaders, and 4 were both. The transcribed interviews were analyzed using inductive thematic analysis.
ResultsThe key factors that promote low-value care are the payment system, the pharmaceutical and medical device industry, fear of malpractice litigation, biased evidence and knowledge, medical education, and a ‘more is better’ culture. These factors are seen as the most important in the United States, Canada and the Netherlands, although there are several differences between these countries in their payment structure, and industry and malpractice policy.
ConclusionsPolicy-makers and researchers that aim to reduce low-value care have experienced that clinicians face a mix of interdependent factors regarding the healthcare system and culture that lead them to provide low-value care. Better awareness and understanding of these factors can help policy-makers to facilitate clinicians and medical centers to deliver high-value care.
Keywords: Low-Value Care, De-Implementation, Medical Overuse, Overtreatment, Overdiagnosis, Disinvestment -
Background
Unnecessary prescription, diagnosis, and medical services are increasing various health problems in the world. According to the World Health Organization (WHO), over-prescription and unnecessary services are the measures that cause significant damages rather than benefits.
ObjectivesThe present study aimed to evaluate the perspective of Urmia medical system members regarding the frequency and causes of unnecessary medical services and their control and prevention strategies in Urmia, Iran.
MethodsThis descriptive-analytical, cross-sectional research was performed on 102 specialist physicians selected from the Urmia Medical Association, and the selected individuals participated in the survey online. Outcome measures included the percentage of unnecessary medical care and common causes of overtreatment. Data were collected using Johns Hopkins University Unnecessary medical services checklist. Data analysis was performed in SPSS version 22 using descriptive statistics (frequency and mean) and chi-square.
ResultsIn total, 41% of the participants (n = 43) were family physicians, and 59% (n = 59) were specialists of other medical fields. In terms of gender, 53% were male, and the others were female. The main causes of unnecessary medical services at a national level included pressure from patients (66.7%; n = 68), fear of medical malpractice (54.9%; n = 56), pressure from colleagues (23.5%; n = 24), and achieving a high rank in a performance appraisal (40.2%; n = 41). According to the participants, the development of more guidelines and instructions (47.1%; n = 48) and training residents on the appropriate use of diagnostic criteria (50%; n = 51) could be effective approaches to preventing unnecessary medical services. In addition, significant differences were observed between the perspective of the family physicians and the specialists in terms of the fear of malpractice (P = 0.002), lack of medical history (P = 0.17), pressure from patients (P = 0.25), training of residents on the use of diagnostic criteria (P = 0.001), and easier access to medical files (P = 0.001).
ConclusionsFrom the physicians’ perspective, overtreatment is highly common in Iran. In order to solve this problem, efforts should be dedicated to areas such as medical file availability, diminishing the fear of malpractice, and more training of residents. Moreover, it is recommended that patients’ awareness be raised regarding the damages caused by unnecessary prescriptions so that they would not request frequent visits.
Keywords: Overdiagnosis, Overuse of Medical Services, Physician, Medical Malpractice, Unnecessary Medical Care -
In an interesting article Wieteke van Dijk and colleagues argue that societal developments and values influence the practice of medicine, and thus can result in both medicalisation and overdiagnosis. They provide a convincing argument that overdiagnosis emerges in a social context and that it has socially constructed implications. However, they fail to show that overdiagnosis per se is socially constructed and how this construction occurs. Moreover, the authors discuss overdiagnosis on a micro level without acknowledging that overdiagnosis cannot be observed in individuals in the doctors office. We cannot tell whether a diagnosed person is overdiagnosed or not. This is the core of the problem. Despite these shortcomings, Wieteke van Dijk and her colleagues are certainly on to something important, and they should be encouraged to elaborate their perspective. We certainly need to deepen our understanding of the social construction of overdiagnosis.Keywords: Overdiagnosis, False Test Results, Social Construction, Medicalization
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Van Dijk and colleagues present three cases to illustrate and discuss the relationship between medicalisation and overdiagnosis. In this commentary, I consider each of the case studies in turn, and in doing so emphasise two main points. The first is that it is not possible to assess whether overdiagnosis is occurring based solely on incidence rates: it is necessary also to have data about the benefits and harms that are produced by diagnosis. The second is that much is at stake in discussions of overdiagnosis in particular, and that it is critical that work in this area is conceptually rigorous, well-reasoned, and empirically sound. van Dijk and colleagues remind us that overdiagnosis and medicalisation are not just matters for individual patients and their clinicians: they also concern health systems, and society and citizens more broadly.Keywords: Overdiagnosis, Medicalisation, Overtreatment
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The concept of overdiagnosis is a dominant topic in medical literature and discussions. In research that targets overdiagnosis, medicalisation is often presented as the societal and individual burden of unnecessary medical expansion. In this way, the focus lies on the influence of medicine on society, neglecting the possible influence of society on medicine. In this perspective, we aim to provide a novel insight into the influence of society and the societal context on medicine, in particularly with regard to medicalisation and overdiagnosis.Keywords: Medicalisation, Overdiagnosis, Society
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زمینه و هدففقدان پیشرفت لیبر دومین علت شایع سزارین است. در مورد این نکته توافق عمومی وجود دارد که در دنیا دیستوشی منجر به سزارین، بیش از حد تشخیص داده می شود. تغییر پذیری در معیارهای تشخیص از عوامل اصلی تعیین کننده در افزایش تعداد زایمان های سزارین ناشی از دیستوشی است. این بررسی به منظور شناسایی و تعیین دیستوشی منجر به سزارین و عوامل موثر بر تشخیص نادرست آن انجام شد.روش بررسیاین بررسی توصیفی تحلیلی روی 1212 زن سزارین شده سال 1382 در بیمارستان شهید یحیی نژاد شهرستان بابل انجام گرفت. 248 زن سزارین شده با تشخیص دیستوشی با با معیارهای پیشنهادی زنان و مامایی آمریکا مقایسه شد. 118 زن با تشخیص درست دیستوشی با 130 زن با تشخیص نادرست مقایسه شدند تا عوامل موثر بر تشخیص نادرست دیستوشی شنایی شود. آزمون های آماری کای اسکوئر و تی و مدل چند متغیره لجستیک برای آنالیز اطلاعات استفاده شد.یافته هازمان تشخیص دیستوشی در فاز نهفته، فعال، مرحله دوم زایمان به ترتیب عبارت بود از: 64.9 درصد، 29.8 درصد و 5.3 درصد بود. قوی ترین عامل موثر بر تشخیص نادرست دیستوشی، فقدان تجویز اکسی توسین بود. سایر عوامل خطر عدم پیشرفت زایمان در آنالیز لجستیک چند متغیری عبارت بود از انجام سزارین در صبح (CI 2.1-3.5 95 درصد) 2.8 =OR، سزارین در عصر 3-1.3 95 CI درصد 2.6=OR نولی پاریتی 3.2-1.7 CI 95 درصد OR =2.1، تخمین نادرست بالینی ماکروزمی 3.8-1.2 CI 95 درصدOR=2.1 و دفع مکونیوم 2.9-1.5 CI 95 درصد 2.3=OR.نتیجه گیریصحت تشخیص حدود 50 درصد موارد عدم پیشرفت زایمان با معیارهای استاندارد، دلالت دارد که تشخیص بیش از اندازه دیستوشی وجود دارد. پیشنهاد می شود متخصصین مامایی در مواقع توقف پیشرفت دیلاتاسیون، از درمان انتظاری استفاده کنند تا از سزارین با تشخیص نادرست دیستوشی جلوگیری شود. اداره فعال لیبر با آمینوتومی و اکسی توسین به موقع از استراتژی های دیگر کاهش سزارین با تشخیص دیستوشی است.
کلید واژگان: دیستوشی, سزارین, تشخیص بیش از اندازهBackground and ObjectiveThe Failure progress of labor is the second indication for cesarean delivery after repeat section. It is generally agreed that dystocia leading ro cesarean delivery is overdiagnosed in the world. Variability in the criteria for diagnosis is major determinant of the increase in cesarean deliveries for dystocia. This study was identified dystocia with comparison with the criteria obstetrics standards and determined the cause's effects of incorrect diagnosis.Materials and MethodsA descriptive analytic case-control study was performed on 1212 women who experienced cesarean delivery in Yahyanegad hospital of Babol a city in North of Iran during 2004. We compared criteria of diagnosis of dystocia among 248 women whome were operated with dystocia with criteria that were proposed by American college of obstetricians and gynecologis. Also, we compared 118 women with correct diagnosis with 130 women with incorrect diagnosis to identify causes of incorrect diagnosis. Statistical test 2, t-Test and multiple logistic regressions were used to analysis of data.ResultsDystocia was diagnosed during latent phase, active phase and second stage respectively: %64.9, %29.8 and %5.3. The strogenst predictor of incorrect diagnosis of dystocia was the lack of administration of oxytocine. Other independent risk factors for failure of labor to progress, using a multivariable analysis, were: performing of cesarean in morning (OR=2.8 %95 CI 2.1 –3.5), performing of cesarean in afternoon (OR = 2.6 %95 CI 1.3-3), nulliparity (OR=2.1 %95 CI 1.7-3.2), incorrect clinical estimation of fetal macrosomia (OR= 2.3 %95 CI 1.5-2.9).Conclusion%50 accuracy of failure of labor progress according to obstetrics standards implies that there is overdiagnosis in the dystocia. This study proposes that obstetricans should be managed conservatively protract dilatation in the patients to prevent of incorrect diagnosed dystocia cesarean. Active management of labor with accurate administration of oxytocine and amniotomy is another strategy that may be help to decrease cesarean with diagnostic dystocia.Keywords: Dystocia, Cesarean, Overdiagnosis
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