16 research outputs found

    Management control system as a platform for sharing tacit knowledge and supporting the quantification of the customer - Managers' perception. Case: Usage of Pulssi at HOK-Elanto Prisma hypermarkets

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    The purpose of this study is to examine the feasibility of a management control system as a platform for sharing tacit knowledge and supporting the quantification of the customer. This is studied from the lowest level user perspective, in this context the managers'. The thesis is carried out as a single case study and uses the conducted 15 semi-structured interviews as primary data source. The secondary data consists of the information stored in the management control system. The studied management control system is Pulssi, an activity-based system provided by Trainers' House Plc. Pulssi is used to monitor the recurring weekly actions, which are critical for strategic change. Managers' perception is studied at HOK-Elanto's 12 Prisma hypermarkets after one years' use of the system. Pulssi was seen helpful in sharing information among the organization, but the interviewed managers hoped that they could use the picture module to improve the sharing of tacit knowledge. 8 out of 12 interviewed managers thought that tracking activities and non-financial metrics along with the operative outcomes is a good practice. Standardization of activities and steering those in a new direction was approved and thus the system was found to support the quantification of the customer. The two most important factors behind the sharing of tacit knowledge, the usage rate and correct use of the system, are active leadership on the matter and interesting and frequently changing management control questions. The role of consultants was generally seen unimportant. This study hopes to help the future internal knowledge management projects

    SOURCES OF HEALTHCARE WORKERS' COVID-19 INFECTIONS AND RELATED SAFETY GUIDELINES

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    Objectives: To evaluate the effectiveness of safety guidelines in the workplace, the authors analyzed the work-related exposure to SARS-CoV-2 and the source of COVID-19 infections among healthcare workers (HCWs), together with the use of personal protective equipment (PPE). Material and Methods: A cross-sectional prospective study was conducted in tertiary hospitals in the Uusimaa region, Finland, with 1072 volunteers being enrolled in the study from among the HCWs at the Helsinki University Hospital. Overall, 866 (80.8%) HCWs (including 588 nurses, 170 doctors, and 108 laboratory and medical imaging nurses) completed the questionnaire by July 15, 2020, with 52% of the participants taking care of COVID-19 patients. The participants answered a structured questionnaire regarding their use of PPE, the ability to follow safety guidelines, exposure to COVID-19, and the source of potential COVID-19 infections. The participants with COVID-19 symptoms were tested with the SARS-CoV-2 real-time polymerase chain reaction method. All infected participants were contacted, and their answers were confirmed regarding COVID-19 exposure. Results: In total, 41 (4.7%) participants tested positive for SARS-CoV-2, with 22 (53.6%) of infections being confirmed or likely occupational, and 12 (29.3%) originating from colleagues. In 14 cases (63.6%), occupational infections occurred while using a surgical mask, and all infections originating from patients occurred while using a surgical mask or no mask at all. No occupational infections were found while using an FFP2/3 respirator and following aerosol precautions. The combined odds ratio for working at an intensive care unit, an emergency department, or a ward was 3.4 (95% CI: 1.2-9.2, p = 0.016). Conclusions: A high infection rate was found among HCWs despite safety guidelines. Based on these findings, the authors recommend the use of FFP2/3 respirators in all patient contacts with confirmed or suspected COVID-19, along with the use of universal masking, also in personnel rooms.Peer reviewe

    "As protective gear began to run low, guidance on protection became looser" - Healthcare workers' perspectives on infection prevention and control during the COVID-19 pandemic

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    ObjectivesThe COVID-19 pandemic has posed several risk factors to healthcare workers' (HCWs') emotional distress. The purpose of the study was to enhance understanding of the experiences and feelings of HCWs during the COVID-19 pandemic, with specific reference to infection prevention and control (IPC) practices and guidance, focusing on the quality and availability of personal protective equipment (PPE), guidelines, and management. With a qualitative approach, we aimed to enable a wider narrative; to gain a more detailed understanding related to PPE use and identify experiences that can be overlooked in forced-choice questionnaires. MethodsAn online questionnaire was conducted among HCWs of the City of Helsinki and Helsinki University Hospital between 12.6.2020 and 5.4.2021. Altogether 1,580 HCWs participated in the study, from whom 579 shared 1,666 free-text responses. These responses were analyzed qualitatively, and the results were combined with statistical data on the participants' working conditions and backgrounds. ResultsWe identified problems in PPE availability and changing guidelines as factors causing the most distress in the participants. Regarding availability, running out of masks and respirators emerged as the most worrying issue, and inadequate PPE was associated with the excessive workload (OR 1.51, CI 95% 1.01-2.25). The results also highlight the importance of transparent and clear communication regarding IPC instructions and guidance, and clear IPC guidance was associated with better levels of reported recovery from work (OR 1.51, CI 95% 1.06-2.14). ConclusionsOur study highlights the importance of adequate PPE provision, transparent communication, clear guidance, and supportive supervisory work in this ongoing pandemic and potential new ones. We suggest more rigorous preparation, with crisis communication planning and emergency storage of PPE.Peer reviewe

    Työolot perusterveydenhuollossa ja erikoissairaanhoidossa covid-19 pandemian aikana

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    Objectives: The COVID-19 pandemic has globally affected healthcare workers’ (HCWs) health and wellbeing. Most studies on COVID-19 have focused on tertiary healthcare. The aim of this study was to increase the knowledge on the effects of the pandemic on working conditions in tertiary and primary healthcare. Material and Methods: The comparative cross-sectional study consisted of an online questionnaire sent to HCWs of the City of Helsinki (primary healthcare) and Helsinki University Hospital (tertiary healthcare). Altogether 1580 HCWs with direct patient contact participated in the study: 895 from tertiary and 685 from primary healthcare. Statistical analysis used SPSS 25 from IBM. The tests used were the χ2 test, Fisher’s exact test, and binary logistic regression analysis. Results: Primary HCWs were less likely to treat COVID-19 patients (OR = 0.45, 95% CI: 0.37–0.56). However, both groups reported a similar number of COVID-19 infections, primary HCWs 4.9% and tertiary HCWs 5.0%, and work-related quarantine was significantly more prevalent (OR = 1.96, 95% CI: 1.38–2.79) among primary HCWs. In addition, work-related wellbeing was poorer among primary HCWs than tertiary HCWs in terms of feeling more stressed at work (OR = 3.20, 95% CI: 2.55–4.02), not recovering from work (OR = 0.49, 95% CI: 0.39–0.62), reported mental wellbeing below normal levels (OR: 1.59, 95% CI: 1.26–2.00), and increased working hours (OR = 1.63, 95% CI: 1.25–2.12). Conclusions: The study demonstrates how the pandemic has affected the wellbeing and working conditions of not only tertiary but also less studied primary HCWs. The authors’ findings suggest that the challenges identified during the COVID-19 pandemic in the health and wellbeing of healthcare workers are even greater in primary care than in tertiary care.Peer reviewe

    Blood and saliva SARS-CoV-2 antibody levels in self-collected dried spot samples

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    We examined the usefulness of dried spot blood and saliva samples in SARS-CoV-2 antibody analyses. We analyzed 1231 self-collected dried spot blood and saliva samples from healthcare workers. Participants filled in a questionnaire on their COVID-19 exposures, infections, and vaccinations. Anti-SARS-CoV-2 IgG, IgA, and IgM levels were determined from both samples using the GSP/DELFIA method. The level of exposure was the strongest determinant of all blood antibody classes and saliva IgG, increasing as follows: (1) no exposure (healthy, non-vaccinated), (2) exposed, (3) former COVID-19 infection, (4) one vaccination, (5) two vaccinations, and (6) vaccination and former infection. While the blood IgG assay had a 99.5% sensitivity and 75.3% specificity to distinguish participants with two vaccinations from all other types of exposure, the corresponding percentages for saliva IgG were 85.3% and 65.7%. Both blood and saliva IgG-seropositivity proportions followed similar trends to the exposures reported in the questionnaires. Self-collected dry blood and saliva spot samples combined with the GSP/DELFIA technique comprise a valuable tool to investigate an individual's immune response to SARS-CoV-2 exposure or vaccination. Saliva IgG has high potential to monitor vaccination response wane, since the sample is non-invasive and easy to collect.Peer reviewe

    A machine learning approach to predict resilience and sickness absence in the healthcare workforce during the COVID-19 pandemic

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    During the COVID-19 pandemic, healthcare workers (HCWs) have faced unprecedented workloads and personal health risks leading to mental disorders and surges in sickness absence. Previous work has shown that interindividual differences in psychological resilience might explain why only some individuals are vulnerable to these consequences. However, no prognostic tools to predict individual HCW resilience during the pandemic have been developed. We deployed machine learning (ML) to predict psychological resilience during the pandemic. The models were trained in HCWs of the largest Finnish hospital, Helsinki University Hospital (HUS, N = 487), with a six-month follow-up, and prognostic generalizability was evaluated in two independent HCW validation samples (Social and Health Services in Kymenlaakso: Kymsote, N = 77 and the City of Helsinki, N = 322) with similar follow-ups never used for training the models. Using the most predictive items to predict future psychological resilience resulted in a balanced accuracy (BAC) of 72.7-74.3% in the HUS sample. Similar performances (BAC = 67-77%) were observed in the two independent validation samples. The models' predictions translated to a high probability of sickness absence during the pandemic. Our results provide the first evidence that ML techniques could be harnessed for the early detection of COVID-19-related distress among HCWs, thereby providing an avenue for potential targeted interventions.Peer reviewe

    Should we avoid colleagues in leisure time during the coronavirus disease 2019 (COVID-19) pandemic?

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    To the Editor— Coronavirus disease 2019 (COVID-19) is a significant occupational threat for healthcare workers (HCWs).1 The high number of infected HCWs has been explained with occupational exposure to severe acute respiratory coronavirus virus 2 (SARS-CoV-2). Hospitals have implemented infection control measures including proper personal protective equipment (PPE), universal masking in hospitals, and safety distance between coworkers to reduce the transmission.2,3 However, studies of HCW exposure to COVID-19 outside the workplace have not been published.Non peer reviewe
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