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The purpose of this paper is to describe a completed audit cycle of the assessment and documentation of antipsychotic side effects reported by patients in a secure hospital setting.

The initial audit was carried out in 2012. As a result of the findings clinicians were recommended to use a brief structured side effect monitoring guide (the Glasgow Antipsychotic Side-Effect Scale (GASS-m)). The audit was repeated in 2015.

Of the 41 patients notes included in the initial audit, for only one (2.4 per cent) was there evidence of a systematic and structured approach to monitoring antipsychotic side effects. In the repeat audit this figure (and use of the GASS-m) had increased to 21/45 (46.7 per cent). For all patients where the GASS-m had been used (n=21) the overall severity of side effects was in the “mild” range (0-21).

Sample size was modest and the study was conducted in an independent secure hospital so may not be generalisable to the NHS.

Use of structured tools/guides to monitor patients’ side effects is recommended so that emergent side effects can be readily recognised, tracked and managed and, relapses made less likely through improved compliance and thus patients’ quality of life improved. This is very important for forensic patients since relapses are likely to increase risk to others.

Previous audits have addressed physical health monitoring of patients on antipsychotics but not by asking them about side effects.

Accelerated by the COVID-19 pandemic, in recent years, face-to-face coaching has largely shifted to online coaching. The authors examined both the side effects of and coaching success in face-to-face, blended and online coaching from both coaches' and clients' perspectives. This paper aims to discuss the aforementioned examination.

The authors conducted two independent studies to examine the differences between the side effects of face-to-face, blended and online coaching. In Study 1 (N = 119), the authors compared the side effects of these formats using a quasi-experimental design and tested differences in perceived coaching success from the coaches' perspective. In Study 2 (N = 104), the authors integrated the client perspective on the side effects of coaching formats into the design and tested the differences.

Coaches in the face-to-face format experienced a significantly lower prevalence of side effects for their clients compared to coaches who engaged in the blended and online coaching formats. From the client perspective, clients experienced the most side effects of the blended coaching format. Neither study showed any differences between the coaching formats in perceived coaching success.

The results provide guidance to practitioners in choosing the most suitable coaching format for themselves. Being aware of side effects in coaching can help both coaches and clients take appropriate measures to mitigate the impact of these effects.

This paper is the first to expand knowledge about side effects in coaching across different coaching formats from both coaches' and clients' perspectives. The findings provide evidence regarding the context in which coaching is currently performed in a post-COVID world, with sustainability remaining a global concern and a key driver for organizations.

This paper aims to investigate how the emerging blockchain technology can tackle dark side or dysfunctional effects at different stages of the interorganizational relationship life cycle. The rationale for this study stems from the somewhat paradoxical causes of dysfunctional effects. In particular, concepts such as trust and cooperation that typically result in positive relationship outcomes may also lead to negative effects under certain conditions. This contradiction creates a governance headache for organizations in their quest for initiating, developing, maintaining and enhancing efficient interorganizational relationships.

The study draws upon multiple organizational theories (agency, signaling, transaction cost, population ecology, institutional) and develops a conceptual understanding of how blockchain can serve as a safeguard for tackling dark side effects in interorganizational relationships. Primarily, the paper outlines a set of research propositions that provides a platform for developing an actionable managerial decision framework. In addition, the authors conduct an automated textual analysis of qualitative blockchain expert opinion using the ALCESTE software and uncover salient themes about blockchain governance.

The blockchain ledger distributes trust among participants and keeps dark side effects at bay. Hence, blockchain can transform conventional approaches for handling dark side effects into value creating activities. The results of an automated textual analysis on a corpus of expert opinions provides preliminary support for several aspects of blockchain governance. Furthermore, the study articulates a decision framework that managers can use for optimal relationship governance and identifies several areas for future research.

This paper is conceptual in nature and draws upon multiple theoretical perspectives to outline a set of research propositions. Thus, lack of empirical testing is a current limitation. However, the findings from an automated textual analysis of expert opinions provide exploratory but encouraging support for the power of blockchain to tackle dark side effects.

Managers can deploy blockchain creatively while selecting interorganizational relationship partners. For example, provenance issues in organizations’ supply chains can be efficiently managed using blockchain. Likewise, organizations may also create efficient learning around blockchain to gain efficiencies in relationship management.

Conventional approaches for managing dark side effects in interorganizational relationships rely mainly on ex post governance strategies. By contrast, this paper supplements the extant approach by discussing ex ante strategies that can be deployed at different stages of the interorganizational relationship cycle, e.g. initiation, maintenance/development and termination to better address dark side effects.

This paper aims to propose mechanisms of the dark side of interorganizational relationships from a social psychological perspective. The purpose is to understand the role of boundary spanners’ social psychological processes that may trigger the dark side effects.

Multple mechanisms are developed through three social psychological theories, namely, social identity theory, system justification theory and social learning theory.

Boundary spanners’ social psychological processes can trigger the dark side of interorganizational relationships via mechanisms such as excessive cooperation, reification, system justification and path dependence in learning.

This paper concludes with a discussion that offers a new perspective on research on dark side effects and the managerial implications of the present analysis.

This paper contributes to the current literature by extending the interpersonal social psychological processes that could explain the dark side of interorganizational relationships. This paper is a step forward to answer the calls for multilevel considerations of the dark side effects and inspire future research on the role of social psychological processes in dark side effects.

Graph rewriting concerns the technique of transforming a graph; it is thus natural to conceive its application in the evolution of graph databases. This paper aims to propose a two-step framework where rewriting rules formalize instance or schema changes, ensuring graph’s consistency with respect to constraints, and updates are managed by ensuring rule applicability through the generation of side effects: new updates which guarantee that rule application conditions hold.

This paper proposes Schema Evolution Through UPdates, optimized version (SetUp_OPT), a theoretical and applied framework for the management of resource description framework (RDF)/S database evolution on the basis of graph rewriting rules. The framework is an improvement of SetUp which avoids the computation of superfluous side effects and proposes, via SetUpoptND, a flexible and extensible package of solutions to deal with non-determinism.

This paper shows graph rewriting into a practical and useful application which ensures consistent evolution of RDF databases. It introduces an optimised approach for dealing with side effects and a flexible and customizable way of dealing with non-determinism. Experimental evaluation of SetUpoptND demonstrates the importance of the proposed optimisations as they significantly reduce side-effect generation and limit data degradation.

SetUp originality lies in the use of graph rewriting techniques under the closed world assumption to set an updating system which preserves database consistency. Efficiency is ensured by avoiding the generation of superfluous side effects. Flexibility is guaranteed by offering different solutions for non-determinism and allowing the integration of customized choice functions.

Concern about side effects is one of the most commonly cited reasons for women’s non-use of contraceptives in sub-Saharan Africa, and the most common reason why women discontinue family planning. While studies find that some of women’s worries about contraceptives are based on distressing side effects, such as menstrual disruption, nausea, weight gain and delays in fertility, researchers frequently focus on misinformation spread by rumour. These studies decontextualize women’s concerns from the larger gendered context of their lives. Drawing on ethnographic field research carried out in northern Ghana with a feminist approach to understanding reproduction, this chapter examines women’s concerns about side effects, and the impact of these concerns on family planning practice. I show that despite anxiety about side effects, and their real physical, social and economic consequences, some women’s conceptions of the action of contraceptives on their bodies are pragmatic. Ethnogynecological perceptions of the importance of blood matching, combined with the importance of having small families for economic success, often encourage contraceptive use and mitigate the action of side effects rather than prompt non-use or discontinuation.

Several types of vaccines were manufactured by different companies to control and stop the spread of COVID-19. This study aimed to identify the postvaccination side effects of the three different vaccines (Pfizer, AstraZeneca and Sinopharm) among the Iraqi population in Baghdad, Iraq.

A prospective cross-sectional study was conducted in Baghdad, Iraq from May 2021 to March 2022. An online-based questionnaire was used to collect the data through social media, i.e. WhatsApp, Messenger and Google Classroom. A total of 737 vaccinated participants using a snowball sampling methodology were used in this study.

Among the study population, 328 (44.50%) were males and 409 (55.50%) were females. The highest age group that participated was 18–30 years (79.10%) followed by 31–40 years (12.10%), 41–50 years (4.20%), 51–60 years (2.40%) and 60 = years (2.20%). However, 58.8% of the participants received Pfizer-BioNTech, 23.7% received the AstraZeneca-Oxford vaccine and 17.5% received Sinopharm. Out of the total participants, 56.60% showed postvaccination side-effects such as fever, headache, fatigue and dizziness, while 33% showed no side-effects and 10.40% were not sure. Pfizer-BioNTech and AstraZeneca-Oxford vaccines were the most vaccines prevalent of side-effects.

The majority of the side reactions associated with the AstraZeneca and Pfizer vaccines were manageable and self-limiting, including fever, fatigue, headache, joint pain and dizziness, compared to the Sinopharm vaccines, which reported lower postside effects.

This study aims to assess the association of dietary inflammatory index (DII), consumption of functional food and some antioxidants with COVID-19 vaccine side effects in Iranian adults.

This was a case–control study conducted among the 1,067 Iranian adults who were invited to participate through WhatsApp software. The dietary intake was assessed using the food frequency questionnaire.

There was a significant difference (p = 0.04) in vitamin D consumption between healthy people and persons with a vaccine side effect. Vitamin E intake in healthy participants was significantly (p = 0.04) more than case group. There was a significant difference in the consumption of zinc (p = 0.01), selenium (p = 0.02) and vitamin C (p = 0.02), between persons without vaccine side effects and the case group. Consumption of onion (82.5 ± 9.5 g/day vs 32.2 ± 6.3; p = 0.0001), garlic (6 ± 0.3 g/day vs 0.2 ± 0.08; p = 0.0001) and oat (2.2 ± 0.05 g/day vs 0.5 ± 0.01; p = 0.001) in the control group was significantly more than persons with vaccine side effects. With the increase in each unit in the score of the DII, the risk of COVID-19 vaccine side effect incidence increased 1.7 times (OR = 1.7; 95% CI: 1.3–1.8).

To the best of the authors’ knowledge, this study is the first that investigated the association between functional food intake and side effects of the COVID-19 vaccine.

Many opinion-mining systems and tools have been developed to provide users with the attitudes of people toward entities and their attributes or the overall polarities of documents. In addition, side effects are one of the critical measures used to evaluate a patient’s opinion for a particular drug. However, side effect recognition is a challenging task, since side effects coincide with disease symptoms lexically and syntactically. The purpose of this paper is to extract drug side effects from drug reviews as an integral implicit-opinion words.

This paper proposes a detection algorithm to a medical-opinion-mining system using rule-based and support vector machines (SVM) algorithms. A corpus from 225 drug reviews was manually annotated by a medical expert for training and testing.

The results show that SVM significantly outperforms a rule-based algorithm. However, the results of both algorithms are encouraging and a good foundation for future research. Obviating the limitations and exploiting combined approaches would improve the results.

An automatic extraction for adverse drug effects information from online text can help regulatory authorities in rapid information screening and extraction instead of manual inspection and contributes to the acceleration of medical decision support and safety alert generation.

The results of this study can help database curators in compiling adverse drug effects databases and researchers to digest the huge amount of textual online information which is growing rapidly.

The nutritional and anthropometric status can be essential in determining their immune response to vaccines. The purpose of this paper was to investigate the association between diet quality and anthropometric indices with the side effects of the Pfizer-BioNTech COVID-19 vaccine and the SARS-CoV-2 immunoglobulin G titer among Kurdish adults.

This cross-sectional survey-based study was conducted between December 2021 and February 2022. This paper included data on 115 adults, 20–89 years old, from the Kurdistan region. Dietary information was collected using a short food frequency questionnaire, and diet quality was assessed using a plant-based healthy diet score. A blood test was performed to measure the SARS-CoV-2 immunoglobin G (IgG) titer after the vaccination's first and second doses.

Overweight and obese subjects reported more local pain, myalgia, headache, local bruising and local reactions after receiving the first dose of the vaccine (p = 0.04). People on a less healthy diet reported more local pain, myalgia and headache (p = 0.04) and more local bruising and reactions (p = 0.01) after receiving the second dose of the vaccine. On the other hand, the authors observed that those with healthy dietary habits had more IgG titer after the first and second doses of vaccination than those with less healthy dietary habits (p = 0.001).

The results showed that participants with a healthy diet and normal weight status had fewer side effects of the Pfizer-BioNTech COVID-19 vaccine than obese people and those with a less healthy diet.