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This article aims to present aspects related to women’s personal life and work illustrated in the TV series Most Beautiful Thing (Coisa Mais Linda, in Portuguese).

To this end, a film analysis was carried out considering the first season of the TV series Most Beautiful Thing, and to analyze the data, qualitative content analysis was used according to Bardin (2006).

The analysis showed that women’s struggles were and are distinct. While white women are fighting for the right to work - concomitantly reconciling their roles as mother, wife and housewife -, black and poor women fight for survival and dignity. As result, the film analysis showed that women’s search for a different social position is related to an inherent cultural aspect. It is relevant to mention herein that this struggle remains up to the present; such struggle is characterized by the occultation of the social role played by women.

As a limitation, there are few studies that address the theme of white and black women during the period reported in the series.

The main contribution of this article is the use of a filming product that portrays the 1950s, but bringing current discussions on the role of women in society, especially regarding the labor market, the patriarchal domination of men, prejudice, racial, and class discrimination.

The purpose of this study is to introduce new tools to develop a more precise and focused bibliometric analysis on the field of digitalization in healthcare management. Furthermore, this study aims to provide an overview of the existing resources in healthcare management and education and other developing interdisciplinary fields.

This work uses bibliometric analysis to conduct a comprehensive review to map the use of the unified theory of acceptance and use of technology (UTAUT) and the unified theory of acceptance and use of technology 2 (UTAUT2) research models in healthcare academic studies. Bibliometric studies are considered an important tool to evaluate research studies and to gain a comprehensive view of the state of the art.

Although UTAUT dates to 2003, our bibliometric analysis reveals that only since 2016 has the model, together with UTAUT2 (2012), had relevant application in the literature. Nonetheless, studies have shown that UTAUT and UTAUT2 are particularly suitable for understanding the reasons that underlie the adoption and non-adoption choices of eHealth services. Further, this study highlights the lack of a multidisciplinary approach in the implementation of eHealth services. Equally significant is the fact that many studies have focused on the acceptance and the adoption of eHealth services by end users, whereas very few have focused on the level of acceptance of healthcare professionals.

To the best of the authors’ knowledge, this is the first study to conduct a bibliometric analysis of technology acceptance and adoption by using advanced tools that were conceived specifically for this purpose. In addition, the examination was not limited to a certain era and aimed to give a worldwide overview of eHealth service acceptance and adoption.