Do you wanna dance? Tales of trust and driving trust factors in robot medication counseling in the pharmacy context
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ABSTRACT:
SUBMITTER: Hagglund S
PROVIDER: S-EPMC11336249 | biostudies-literature | 2024 Jan
REPOSITORIES: biostudies-literature
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Project description:IntroductionPharmacists play an important role in ensuring the safe, effective, and rational use of drugs in self-medication. Given the potential risks of self-medication, adequate training on self-medication counseling should be provided to pharmacy students during their academic education. Objective structured clinical examinations (OSCEs) could be used to train pharmacy students in these skills. This study evaluated the efficacy of an OSCE-based approach for training pharmacy students in self-medication counseling and communication skills.MethodsThis randomized controlled study was conducted among pharmacy students using a pre-post design. The intervention group completed OSCE-based self-medication training, while the control group collected counseling-relevant information from summaries of product characteristics of over-the-counter drugs. The counseling and communication skills of both groups before and after training were assessed by completing OSCEs. The participants completed a self-assessment questionnaire on self-confidence and self-perceived proficiency before each OSCE encounter and a satisfaction survey at the end of the seminar.ResultsStudents were generally satisfied with the seminar. While the OSCE-trained group demonstrated significantly greater increases in counseling skills and self-confidence and self-perceived proficiency than the control group, both groups had similar increases in communication skills.ConclusionThe present study suggests that applying OSCEs as a learning tool for self-medication counseling is beneficial for improving students' counseling skills as well as self-confidence and self-perceived proficiency. These results support the inclusion of OSCEs in pharmacy education and highlight its potential to bridge gaps between knowledge and practice.
| S-EPMC8170271 | biostudies-literature
Project description:The degree of communication between patients and pharmacists has a significant impact on the process of medication counseling. The purpose of this study was to evaluate pharmacists' practices of medication counseling and to assess patients' knowledge of medications and satisfaction with pharmacy services at Woldia Comprehensive Specialised Hospital (WCSH). A cross-sectional study involving 23 pharmacists and 339 patients was carried out between February and May 2022 at WCSH. A self-administered structured questionnaire was used to assess the medication counseling activities of pharmacists, whereas interview-based questionnaires were used to evaluate patients' knowledge of the drugs prescribed to them and their level of satisfaction with outpatient hospital pharmacy services. The Statistical Package for Social Sciences (SPSS) Version 25.0 was used to analyze the data. Around two-thirds of pharmacy professionals (73.9%) agreed that they were satisfied with their counseling activities. But a very low number of them always provided counseling regarding the purpose of medications (13%), major drug-drug interactions (26.1%), possible side effects (30.4%), the importance of compliance (30.4%), storage conditions (34.8%), and drug-food interactions (39.1%). Among the 339 patients involved in the study, less than half (46.3%) of them had sufficient knowledge of their dispensed medication at the exit interview. Only nearly half of the patients (54.3%) agreed that they were satisfied with the pharmacy service. Despite the fact that a significant proportion of the pharmacy professionals agreed that they were satisfied with their counseling practices, their level of involvement in major counseling activities was limited, which impacted the knowledge of patients about their medication and patients' satisfaction with pharmacy services. This might be because of potential barriers in terms of workload and lack of resources. The findings may indicate that pharmacy services need to improve through identifying potential gaps and tackling barriers.
| S-EPMC10748552 | biostudies-literature
Project description:BackgroundMedication reconciliation aims to prevent unintentional medication discrepancies that can result in patient harm at transitions of care. Pharmacist-led medication reconciliation has clear benefits, however workforce limitations can be a barrier to providing this service. Pharmacy students are a potential workforce solution.ObjectiveTo evaluate the number and type of medication discrepancies identified by pharmacy students.MethodsFourth year pharmacy students completed best possible medication histories and identified discrepancies with prescribed medications for patients admitted to hospital. A retrospective audit was conducted to determine the number and type of medication discrepancies identified by pharmacy students, types of patients and medicines involved in discrepancies.ResultsThere were 294 patients included in the study. Overall, 72% (n=212/294) had medication discrepancies, the most common type being drug omission. A total of 645 discrepancies were identified, which was a median of three per patient. Patients with discrepancies were older than patients without discrepancies with a median (IQR) age of 74 (65-84) vs 68 (53-77) years (p=0.001). They also took more medicines with a median (IQR) number of 9 (6-3) vs 7 (2-10) medicines per patient (p<0.001). The most common types of medicines involved were those related to the alimentary tract and cardiovascular system.ConclusionsPharmacy students identified medication discrepancies in over 70% of hospital inpatients, categorised primarily as drug omission. Pharmacy students can provide a beneficial service to the hospital and contribute to improved patient safety by assisting pharmacists with medication reconciliation.
| S-EPMC8456341 | biostudies-literature
Project description:Partner dance has been shown to be beneficial for the health of older adults. Robots could potentially facilitate healthy aging by engaging older adults in partner dance-based exercise. However, partner dance involves physical contact between the dancers, and older adults would need to be accepting of partner dancing with a robot. Using methods from the technology acceptance literature, we conducted a study with 16 healthy older adults to investigate their acceptance of robots for partner dance-based exercise. Participants successfully led a human-scale wheeled robot with arms (i.e., a mobile manipulator) in a simple, which we refer to as the Partnered Stepping Task (PST). Participants led the robot by maintaining physical contact and applying forces to the robot's end effectors. According to questionnaires, participants were generally accepting of the robot for partner dance-based exercise, tending to perceive it as useful, easy to use, and enjoyable. Participants tended to perceive the robot as easier to use after performing the PST with it. Through a qualitative data analysis of structured interview data, we also identified facilitators and barriers to acceptance of robots for partner dance-based exercise. Throughout the study, our robot used admittance control to successfully dance with older adults, demonstrating the feasibility of this method. Overall, our results suggest that robots could successfully engage older adults in partner dance-based exercise.
| S-EPMC5646767 | biostudies-literature
Project description:Trust is a critical issue in human-robot interactions: as robotic systems gain complexity, it becomes crucial for them to be able to blend into our society by maximizing their acceptability and reliability. Various studies have examined how trust is attributed by people to robots, but fewer have investigated the opposite scenario, where a robot is the trustor and a human is the trustee. The ability for an agent to evaluate the trustworthiness of its sources of information is particularly useful in joint task situations where people and robots must collaborate to reach shared goals. We propose an artificial cognitive architecture based on the developmental robotics paradigm that can estimate the trustworthiness of its human interactors for the purpose of decision making. This is accomplished using Theory of Mind (ToM), the psychological ability to assign to others beliefs and intentions that can differ from one's owns. Our work is focused on a humanoid robot cognitive architecture that integrates a probabilistic ToM and trust model supported by an episodic memory system. We tested our architecture on an established developmental psychological experiment, achieving the same results obtained by children, thus demonstrating a new method to enhance the quality of human and robot collaborations. This article is part of the theme issue 'From social brains to social robots: applying neurocognitive insights to human-robot interaction'.
| S-EPMC6452250 | biostudies-literature
Project description:Before Automated Driving Systems (ADS) with full driving automation (SAE Level 5) are placed into practical use, the issue of calibrating drivers' initial trust in Level 5 ADS to an appropriate degree to avoid inappropriate disuse or improper use should be resolved. This study aimed to identify the factors that affected drivers' initial trust in Level 5 ADS. We conducted two online surveys. Of these, one explored the effects of automobile brands and drivers' trust in automobile brands on drivers' initial trust in Level 5 ADS using a Structural Equation Model (SEM). The other identified drivers' cognitive structures regarding automobile brands using the Free Word Association Test (FWAT) and summarized the characteristics that resulted in higher initial trust among drivers in Level 5 ADS. The results showed that drivers' trust in automobile brands positively impacted their initial trust in Level 5 ADS, which showed invariance across gender and age. In addition, the degree of drivers' initial trust in Level 5 ADS was significantly different across different automobile brands. Furthermore, for automobile brands with higher trust in automobile brands and Level 5 ADS, drivers' cognitive structures were richer and varied, which included particular characteristics. These findings suggest the necessity of considering the influence of automobile brands on calibrating drivers' initial trust in driving automation.
| S-EPMC10159113 | biostudies-literature
Project description:As robots become more advanced and capable, developing trust is an important factor of human-robot interaction and cooperation. However, as multiple environmental and social factors can influence trust, it is important to develop more elaborate scenarios and methods to measure human-robot trust. A widely used measurement of trust in social science is the investment game. In this study, we propose a scaled-up, immersive, science fiction Human-Robot Interaction (HRI) scenario for intrinsic motivation on human-robot collaboration, built upon the investment game and aimed at adapting the investment game for human-robot trust. For this purpose, we utilize two Neuro-Inspired COmpanion (NICO) - robots and a projected scenery. We investigate the applicability of our space mission experiment design to measure trust and the impact of non-verbal communication. We observe a correlation of 0.43 ( p=0.02 ) between self-assessed trust and trust measured from the game, and a positive impact of non-verbal communication on trust ( p=0.0008 ) and robot perception for anthropomorphism ( p=0.007 ) and animacy ( p=0.00002 ). We conclude that our scenario is an appropriate method to measure trust in human-robot interaction and also to study how non-verbal communication influences a human's trust in robots.
| S-EPMC8211980 | biostudies-literature
Project description:Nothing is perfect and robots can make as many mistakes as any human, which can lead to a decrease in trust in them. However, it is possible, for robots to repair a human's trust in them after they have made mistakes through various trust repair strategies such as apologies, denials, and promises. Presently, the efficacy of these trust repairs in the human-robot interaction literature has been mixed. One reason for this might be that humans have different perceptions of a robot's mind. For example, some repairs may be more effective when humans believe that robots are capable of experiencing emotion. Likewise, other repairs might be more effective when humans believe robots possess intentionality. A key element that determines these beliefs is mind perception. Therefore understanding how mind perception impacts trust repair may be vital to understanding trust repair in human-robot interaction. To investigate this, we conducted a study involving 400 participants recruited via Amazon Mechanical Turk to determine whether mind perception influenced the effectiveness of three distinct repair strategies. The study employed an online platform where the robot and participant worked in a warehouse to pick and load 10 boxes. The robot made three mistakes over the course of the task and employed either a promise, denial, or apology after each mistake. Participants then rated their trust in the robot before and after it made the mistake. Results of this study indicated that overall, individual differences in mind perception are vital considerations when seeking to implement effective apologies and denials between humans and robots.
| S-EPMC10279664 | biostudies-literature
Project description:Effective human-robot collaboration requires the appropriate allocation of indivisible tasks between humans and robots. A task allocation method that appropriately makes use of the unique capabilities of each agent (either a human or a robot) can improve team performance. This paper presents a novel task allocation method for heterogeneous human-robot teams based on artificial trust from a robot that can learn agent capabilities over time and allocate both existing and novel tasks. Tasks are allocated to the agent that maximizes the expected total reward. The expected total reward incorporates trust in the agent to successfully execute the task as well as the task reward and cost associated with using that agent for that task. Trust in an agent is computed from an artificial trust model, where trust is assessed along a capability dimension by comparing the belief in agent capabilities with the task requirements. An agent's capabilities are represented by a belief distribution and learned using stochastic task outcomes. Our task allocation method was simulated for a human-robot dyad. The team total reward of our artificial trust-based task allocation method outperforms other methods both when the human's capabilities are initially unknown and when the human's capabilities belief distribution has converged to the human's actual capabilities. Our task allocation method enables human-robot teams to maximize their joint performance.
| S-EPMC9468009 | biostudies-literature
Project description:IntroductionPharmacists are uniquely positioned within the community to provide smoking cessation counseling to their patients. However, pharmacists experience significant barriers to providing counseling, including limited time, reimbursement, and training in counseling techniques. We tested a computer-driven software system, "Exper_Quit" (EQ), that provided individually tailored interventions to patients who smoke and matching tailored reports for pharmacists to help guide cessation counseling.MethodsA two-phase design was used to recruit an observation-only group (OBS; n = 100), followed by participants (n = 200) randomly assigned to receive either EQ-assisted pharmacist counseling or EQ plus 8 weeks of nicotine transdermal patch (EQ+). Both treatment groups were scheduled to receive two follow-up counseling calls from pharmacists.ResultsMost participants in the EQ and EQ+ groups reported receiving counseling from a pharmacist, including follow-up calls, while none of the OBS participants reported speaking with the pharmacist about cessation. At 6 months, fewer OBS participants reported a quit attempt (42%) compared with EQ (76%) or EQ+ (65%) participants (p < .02). At 6 months, 7-day point-prevalence abstinence was 28% and 15% among the EQ+ and EQ groups, respectively, compared with 8% among OBS participants (p < .01), and EQ+ participants were twice as likely to be quit than were EQ participants (p < .01).DiscussionA tailored software system can facilitate the delivery of smoking cessation counseling to pharmacy patients. Results suggest that EQ was successful in increasing (a) the delivery of cessation counseling, (b) quit attempts, and (c) quit rates. Pharmacists can play an important role in the effective delivery of smoking cessation counseling.
| S-EPMC2825100 | biostudies-literature