BACKGROUND: Digital health interventions (DHIs) have the potential to enable public end users, such as citizens and patients, to manage and improve their health. Although the number of available DHIs is increasing, examples of successfully established DHIs in public health systems are limited. To counteract the nonuse of DHIs, they should be comprehensively evaluated while integrating end users. Unfortunately, there is a wide variability and heterogeneity according to the approaches of evaluation, which creates a methodological challenge.
OBJECTIVE: This scoping review aims to provide an overview of the current established processes for evaluating DHIs, including methods, indicators, and end-user involvement. The review is not limited to a specific medical field or type of DHI but offers a holistic overview.
METHODS: This scoping review was conducted following the JBI methodology for scoping reviews based on the framework by Arksey & O\'Malley and complies with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. Three scientific databases (PubMed, Scopus, and Science Direct) were searched in April 2023. English and German studies between 2008 and 2023 were considered when evaluating DHIs that explicitly address public end users. The process of study selection was carried out by several researchers to avoid reviewer bias.
RESULTS: The search strategy identified 9618 publications, of which 160 were included. Among these included articles, 200 evaluations were derived and analyzed. The results showed that there is neither a consensus on the methods to evaluate DHIs nor a commonly agreed definition or usage of the evaluated indicators, which results in a broad variety of evaluation practices. This aligns with observations of the existing literature. It was found that there is a lack of references to existing frameworks for the evaluation of DHIs. The majority of the included studies referred to user-centered approaches and involved end users in the evaluation process. As assistance for people developing and evaluating DHIs and as a basis for thinking about appropriate ways to evaluate DHIs, a results matrix was created where the findings were combined per DHI cluster. Additionally, general recommendations for the evaluators of DHIs were formulated.
CONCLUSIONS: The findings of this scoping review offer a holistic overview of the variety and heterogeneity according to the approaches of evaluation of DHIs for public end users. Evaluators of these DHIs should be encouraged to reference established frameworks or measurements for justification. This would ease the transferability of the results among similar evaluation studies within the digital health sector, thereby enhancing the coherence and comparability of research in this area.

The traditional point of view regarding dairy cattle selection has been challenged by recent genomic studies indicating that livestock productivity prediction can be redefined based on the evaluation of genomic and phenotypic data. Several studies that included different genomic-derived traits only indicated that interactions among them or even with conventional phenotypic evaluation criteria require further elucidation. Unfortunately, certain genomic and phenotypic-derived traits have been shown to be secondary factors influencing dairy production. Thus, these factors, as well as evaluation criteria, need to be defined. Owing to the variety of genomic and phenotypic udder-derived traits which may affect the modern dairy cow functionality and conformation, a definition of currently important traits in the broad sense is indicated. This is essential for cattle productivity and dairy sustainability. The main objective of the present review is to elucidate the possible relationships among genomic and phenotypic udder evaluation characteristics to define the most relevant traits related to selection for function and conformation in dairy cattle. This review aims to examine the potential impact of various udder-related evaluation criteria on dairy cattle productivity and explore how to mitigate the adverse effects of compromised udder conformation and functionality. Specifically, we will consider the implications for udder health, welfare, longevity, and production-derived traits. Subsequently, we will address several concerns covering the application of genomic and phenotypic evaluation criteria with emphasis on udder-related traits in dairy cattle selection as well as its evolution from origins to the present and future prospects.

Permanent hypoparathyroidism is a postoperative complication of thyroid and parathyroid surgery and can be cured by cryopreserved parathyroid autotransplantation (CPAT). However, due to the lack of unified and standardized guidelines, the limited ability of the parathyroid tissue itself to withstand cryopreservation, and some yet-to-be-defined processes or technologies, the success rate of cryopreserved parathyroid autotransplantation varies between institutions; it is low for some institutions and high for others. Due to the sparsity of data, views vary on which factors most influence the success rate of cryopreserved parathyroid autotransplantation. In this review, we analyzed the following probable influencing factors: ischemic period before cryopreservation; processes of cryopreservation and thawing, including freezing medium; freezing and thawing methods; duration of cryopreservation; examination of the graft before transplantation; graft site; mass of transplanted tissue fragments; blood calcium level; and the evaluation criteria for cryopreserved parathyroid autotransplantation success. Although the effects of these factors are debatable, we hypothesized that examining them in the above-given order to determine whether they affect the success rate of cryopreserved parathyroid autotransplantation could be beneficial to maximizing the success rate. Our findings led us to conclude that cryopreserved parathyroid autotransplantation operations should be standardized. Standardized guidelines for cryopreserved parathyroid autotransplantation that include such factors as ischemic period time, freezing and thawing methods, and recipient status should be established based on a comprehensive analysis of these factors.

The aim of this review was to explore the existing literature on discharge criteria, tools and strategies used in the postanesthesia care unit (PACU) after ambulatory surgery and to identify the essential components of an effective and feasible scoring system based on applicable criteria for the three phases of anesthesia recovery to assess patient discharge after outpatient anesthesia.
A review of the literature.
In this study, a review of sixteen articles was conducted to analyze the affecting factors, evaluation tools, and the current research status of patients discharge after outpatient anesthesia.
The main factors affecting the discharge after diagnostic or therapeutic procedures under outpatient anesthesia were hospital management, medical treatment and patients themselves. Physiological systems-based discharge assessment had several advantages over traditional time-based discharge assessment. The Aldrete scoring scale was often used for patients in the first stage of anesthesia recovery to leave the PACU, and the Chung\'s scoring scale was often used to evaluate patients in the second stage of recovery until they leave the hospital. These two scales were often used in combination for outpatient anesthesia. The Fast-tracking assessment tool was used in patients who directly returned to the ward or discharge of patients after ambulatory surgery. There is currently no uniform standard or tool for assessing patients discharge after diagnostic or therapeutic procedures under the outpatient anesthesia.
Optimal care under anesthesia should allow the patient to recover from anesthesia smoothly and quickly and leave the hospital safely. When the patients can safely leave the hospital after outpatient anesthesia is still a problem that needs to be solved in the nursing field. Various existing scoring systems have their historical advancements, but we need to formulate more in line with the current status of postoperative patients discharge standards.

Organizations heavily rely on information systems to improve their efficiency and effectiveness. However, on the one hand, information systems projects have often been seen as problematic endeavors. On the other hand, one can ask if this perspective results from subjective perceptions or objective assessments. We cannot find a definitive answer to this question in the literature. Moreover, there is no structured information about the models and methods currently available to assess projects\' success in practice. This paper aims to present the results of a literature review carried out on the extant models and methods for evaluating the success of information systems projects. Additionally, it also offers models and methods from other areas that may be suitable for assessing IS projects. Results show that most models and methods found in the literature are, in their essence, theoretical exercises with only a few pieces of evidence of their use in practice, thus urging for more empirically based research.

The field of law has retained its distinctiveness regarding peer review to this day, and reviews are often conducted without following standardized rules and principles. External and independent evaluation of submissions has recently become adopted by European law journals, and peer review procedures are still poorly defined, investigated, and attuned to the legal science publishing landscape. The aim of our study was to gain a better insight into current editorial policies on peer review in law journals by exploring editorial documents (instructions, guidelines, policies) issued by 119 Croatian, Italian, and Spanish law journals. We relied on automatic content analysis of 135 publicly available documents collected from the journal websites to analyze the basic features of the peer review processes, manuscript evaluation criteria, and related ethical issues using WordStat8. Differences in covered topics between the countries were compared using the chi-square test. Our findings reveal that most law journals have adopted a traditional approach, in which the editorial board manages mostly anonymized peer review (104, 77%) engaging independent/external reviewers (65, 48%). Submissions are evaluated according to their originality and relevance (113, 84%), quality of writing and presentation (94, 70%), comprehensiveness of literature references (93, 69%), and adequacy of methods (57, 42%). The main ethical issues related to peer review addressed by these journals are reviewer\'s competing interests (42, 31%), plagiarism (35, 26%), and biases (30, 22%). We observed statistically significant differences between countries in mentioning key concepts such as \"Peer review ethics\", \"Reviewer\", \"Transparency of identities\", \"Publication type\", and \"Research misconduct\". Spanish journals favor reviewers\' \"Independence\" and \"Competence\" and \"Anonymized\" peer review process. Also, some manuscript types popular in one country are rarely mentioned in other countries. Even though peer review is equally conventional in all three countries, high transparency in Croatian law journals, respect for research integrity in Spanish ones, and diversity and inclusion in Italian are promising indicators of future development.

This study aims to systematically review prior research on the evaluation and benchmarking of automated acute leukaemia classification tasks. The review depends on three reliable search engines: ScienceDirect, Web of Science and IEEE Xplore. A research taxonomy developed for the review considers a wide perspective for automated detection and classification of acute leukaemia research and reflects the usage trends in the evaluation criteria in this field. The developed taxonomy consists of three main research directions in this domain. The taxonomy involves two phases. The first phase includes all three research directions. The second one demonstrates all the criteria used for evaluating acute leukaemia classification. The final set of studies includes 83 investigations, most of which focused on enhancing the accuracy and performance of detection and classification through proposed methods or systems. Few efforts were made to undertake the evaluation issues. According to the final set of articles, three groups of articles represented the main research directions in this domain: 56 articles highlighted the proposed methods, 22 articles involved proposals for system development and 5 papers centred on evaluation and comparison. The other taxonomy side included 16 main and sub-evaluation and benchmarking criteria. This review highlights three serious issues in the evaluation and benchmarking of multiclass classification of acute leukaemia, namely, conflicting criteria, evaluation criteria and criteria importance. It also determines the weakness of benchmarking tools. To solve these issues, multicriteria decision-making (MCDM) analysis techniques were proposed as effective recommended solutions in the methodological aspect. This methodological aspect involves a proposed decision support system based on MCDM for evaluation and benchmarking to select suitable multiclass classification models for acute leukaemia. The said support system is examined and has three sequential phases. Phase One presents the identification procedure and process for establishing a decision matrix based on a crossover of evaluation criteria and acute leukaemia multiclass classification models. Phase Two describes the decision matrix development for the selection of acute leukaemia classification models based on the integrated Best and worst method (BWM) and VIKOR. Phase Three entails the validation of the proposed system.

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