Measuring the effectiveness of digital nursing technologies: development of a comprehensive digital nursing technology outcome framework based on a scoping review

Electronic medication administration record (eMAR) in Swedish home healthcare-Implications for Nurses' and nurse Assistants' Work environment: A qualitative study

BACKGROUND

The electronic medication administration record (eMAR) is an eHealth system that has replaced the traditional paper-based medication administration used in many healthcare settings. Research has highlighted that eHealth technologies can change working methods and professional roles in both expected and unexpected ways. To date, there is sparse research that has explored how nurses and nurse assistants (NA) in home healthcare experience eMAR in relation to their work environment.

AIM

The aim was to explore how nurses and nurse assistants experienced their work environment, in terms of job-demand, control, and support in a Swedish home healthcare setting where an electronic medication administration record had been implemented to facilitate delegation of medical administration.

METHOD

We took a qualitative approach, where focus groups were used as data collection method. The focus groups included 16 nurses and nine NAs employed in a Swedish municipality where an eMAR had been implemented 6 months before the first focus groups were performed. The analysis adapted the job-demand-control-support model, by condensing the professionals' experiences into the three categories of demand, control, and support, in alignment with the model.

RESULTS

NAs experienced high levels of job demand and low levels of job control. The use of the eMAR limited NAs' ability to control their work, in terms of priorities, content, and timing. In contrast, the nurses described demands as high but manageable, and described having a high level of control. Both professions found the eMar supportive.

CONCLUSION

Nurses and NAs in home healthcare experienced changes in their work environment regarding demand, control, and support when an eMAR was implemented to facilitate delegation of medical administration. In general, nurses were satisfied with the eMAR. However, NAs felt that the eMAR did not cover all aspects of their daily work. Healthcare organisations should be aware of the changes that digitalisation processes entail in the work environment of nurses and NAs in home healthcare.

[The effectiveness of digital care applications in people with need of home care: A systematic review]

The effectiveness of digital care applications in people with need of home care: A systematic review Abstract: Background: The growing need for long-term care poses challenges for healthcare systems. In June 2021, digital care applications (DiPA) were introduced as a new service in the statutory long-term care insurance in Germany. Their aim is to counteract the increased care need and/or support independence in the home. Aim: This project systematically identified and reported on national and international evidence on DiPA effectiveness, as described by the Federal Institute for Drugs and Medical Devices (BfArM). Methods: The systematic review was conducted in accordance with the PRISMA statement by means of systematic searches in the databases Medline and Cinahl, and supplemented by an extensive manual search (08/2022). Study quality was assessed using the Risk of Bias Tool (RoB2). The results were synthesized narratively. Results: Eight randomized controlled studies were included; improvements in cognition, activities of daily living, and mobility in home care patients, were reported. Study quality was low to moderate, due to mostly unblinded study designs and low case numbers. Conclusions: The currently available evidence fails to provide a reliable basis for assessing the benefits of DiPA, to neither DiPA manufacturers, nor to responsible parties in the healthcare system. Further research on DiPA effectiveness, particularly with high-quality studies, are necessary to assess its potential in the German care sector.

Mapping Theories, Models, and Frameworks to Evaluate Digital Health Interventions: Scoping Review

BACKGROUND

Digital health interventions (DHIs) are a central focus of health care transformation efforts, yet their uptake in practice continues to fall short of their potential. In order to achieve their desired outcomes and impact, DHIs need to reach their target population and need to be used. Many factors can rapidly intersect between this dynamic of users and interventions. The application of theories, models, and frameworks (TMFs) can facilitate the systematic understanding and explanation of the complex interactions between users, practices, technology, and health system factors that underpin research questions. There remains a gap in our understanding of how TMFs have been applied to guide the evaluation of DHIs with real-world health system operations.

OBJECTIVE

This study aims to map TMFs used in studies to guide the evaluation of DHIs. The objectives are to (1) describe the TMFs and the constructs they target, (2) identify how TMFs have been prospectively used (ie, their roles) in primary studies to evaluate DHIs, and (3) to reflect on the relevance and utility of our findings for knowledge users.

METHODS

This scoping review was conducted in partnership with knowledge users using an integrated knowledge translation approach. We included papers (eg, reports; empirical quantitative, qualitative, and mixed methods studies; conference proceedings; and dissertations) if primary insights resulting from the application of TMFs were presented. Any type of DHI was eligible. Papers published from 2000 and onward were mainly identified from the following databases: MEDLINE (Ovid), CINAHL Complete (EBSCOhost), PsycINFO (Ovid), EBM Reviews (Ovid), and Embase (Ovid).

RESULTS

A total of 156 studies published between 2000 and 2022 were included. A total of 68 distinct TMFs were identified across 85 individual studies. In more than half (85/156, 55%) of the included studies, 1 of following 6 prevailing TMFs were reported: Consolidated Framework for Implementation Research (n=39); the Reach, Effectiveness, Adoption, Implementation, and Maintenance Framework (n=17); the Technology of Acceptance Model (n=16); the Unified Theory on Acceptance and Use of Technology (n=12); the Diffusion of Innovation Theory (n=10); and Normalization Process Theory (n=9). The most common intended roles of the 6 TMFs were to inform data collection (n=86), to inform data analysis (n=69), and to identify key constructs that may serve as barriers and facilitators (n=52).

CONCLUSIONS

As TMFs are most often reported to be applied to support data collection and analysis, researchers should consider more clearly synthesizing key insights as practical use cases to both increase the relevance and digestibility of their findings. There is also a need to adapt or develop guidelines for better reporting DHIs and the use of TMFs to guide evaluation. Hence, it would contribute to ensuring ongoing technology transformation efforts are evidence and theory informed rather than anecdotally driven.

Effects of digital self-management symptom interventions on symptom outcomes in adult cancer patients: A systematic review and meta-analysis

PURPOSE

Digital self-management (SM) interventions targeting symptom relief have demonstrated positive as well as null outcomes, whereas no study has synthesized the effect of the interventions. In this study, we aimed to evaluate the effectiveness of digital SM symptom interventions on symptom outcomes in adult cancer patients.

METHODS

A systematic review and meta-analysis based on the previous scoping review was conducted. Six databases (PubMed, CINAHL, Embase, the Cochrane Library, RISS [Korean], and KoreaMed [Korean]) were searched. Population was adult cancer patients. Intervention was SM interventions applying digital health tool targeting symptom management. Comparison was usual care, waitlist controls or active controls. The primary outcome was symptom burden, and the secondary outcomes were individual symptoms.

RESULTS

Our meta-analysis of 32 randomized controlled trials (RCTs) including 7888 patients demonstrated that digital SM symptom interventions had a significant effect on reducing symptom burden (effect size [ES] = -0.230) and relieving pain (ES = -0.292), fatigue (ES = -0.417), anxiety (ES = -0.320), and depression (ES = -0.261).

CONCLUSIONS

Digital SM interventions can improve symptom outcomes in adult cancer patients. Oncology nurses should be aware that digital SM interventions have demonstrated promising outcomes in cancer patient care.

Nurse-led virtual interventions in managing chronic diseases: a protocol for a systematic review of randomised controlled trials

INTRODUCTION

Technological advances are changing nursing practice; however, nurse-led virtual care for chronic disease management has not yet been adequately explored and described. This study will review and analyse the effects of nurse-led virtual services and describe the virtual intervention characteristics relevant to the scope of nursing practice in chronic disease management.

METHODS AND ANALYSIS

This study will systematically review randomised controlled trials evaluating the effects of nurse-led virtual care interventions on patients with chronic conditions. Databases including PubMed, Embase, Web of Science, CINAHL, Chinese National Knowledge Infrastructure, Wanfang (Chinese) and VIP Chinese Science and Technology Periodicals will be searched. All studies will be screened and selected using the criteria described in 'population, intervention, comparison, outcome and study design' format. Relevant studies will be searched using the reference lists of eligible studies and review articles. The risk of bias will be assessed using the Joanna Briggs Institute Quality Appraisal Form. Two reviewers will independently extract data from all the included studies using a standardised data extraction form on the Covidence platform. RevMan V.5.3 software will be used to perform the meta-analysis. Data synthesis will be conducted with descriptive synthesis by summarising and tabulating the data and presenting them according to the research questions.

ETHICS AND DISSEMINATION

Formal ethical approval is not required as the data used in this systematic review are abstracted from the pre-existing literature. The results of this study will be disseminated through peer-reviewed journals and conference presentations.

PROSPERO REGISTRATION NUMBER

CRD42022361260.

Handheld Computer Devices to Support Clinical Decision-making in Acute Nursing Practice: Systematic Scoping Review

BACKGROUND

Nursing care is increasingly supported by computerized information systems and decision support aids. Since the advent of handheld computer devices (HCDs), there has been limited exploration of their use in nursing practice.

OBJECTIVE

The study aimed to understand the professional and clinical impacts of the use of mobile health apps in nursing to assist clinical decision-making in acute care settings. The study also aimed to explore the scope of published research and identify key nomenclature with respect to research in this emerging field within nursing practice.

METHODS

This scoping review involved a tripartite search of electronic databases (CINAHL, Embase, MEDLINE, and Google Scholar) using preliminary, broad, and comprehensive search terms. The included studies were hand searched for additional citations. Two researchers independently screened the studies for inclusion and appraised quality using structured critical appraisal tools.

RESULTS

Of the 2309 unique studies screened, 28 (1.21%) were included in the final analyses: randomized controlled trials (n=3, 11%) and quasi-experimental (n=9, 32%), observational (n=10, 36%), mixed methods (n=2, 7%), qualitative descriptive (n=2, 7%), and diagnostic accuracy (n=2, 7%) studies. Studies investigated the impact of HCDs on nursing decisions (n=12, 43%); the effectiveness, safety, and quality of care (n=9, 32%); and HCD usability, uptake, and acceptance (n=14, 50%) and were judged to contain moderate-to-high risk of bias. The terminology used to describe HCDs was heterogenous across studies, comprising 24 unique descriptors and 17 individual concepts that reflected 3 discrete technology platforms ("PDA technology," "Smartphone/tablet technology," and "Health care-specific technology"). Study findings varied, as did the range of decision-making modalities targeted by HCD interventions. Interventions varied according to the level of clinician versus algorithmic judgment: unstructured clinical judgment, structured clinical judgment, and computerized algorithmic judgment.

CONCLUSIONS

The extant literature is varied but suggests that HCDs can be used effectively to support aspects of acute nursing care. However, there is a dearth of high-level evidence regarding this phenomenon and studies exploring the degree to which HCD implementation may affect acute nursing care delivery workflow. Additional targeted research using rigorous experimental designs is needed in this emerging field to determine the true potential of HCDs in optimizing acute nursing care.

Health economic evaluation of digital nursing technologies: a review of methodological recommendations

BACKGROUND

Health economic evaluation of digital nursing technologies (DNT) is important to provide information that helps avoid undesirable developments and implementations as well as increase the chances of success of developed applications. At the same time, studies and evidence on cost-effectiveness are still very rare in this field. Review studies in related technology areas such as telemedicine frequently criticise the quality and comparability of health economic evaluations conducted in this field. Based on a content analysis of methodological literature on the economic evaluation of innovative (digital) technologies in health and nursing, this article aims to identify specific challenges in this research area and offers recommendations on how to address these challenges to promote more sound health economic evaluations in the future.

METHODS

A rapid review was conducted, consisting of a systematic search in the Pubmed database as well as Google Scholar. In addition, the literature lists of the analysed texts were scoured for additional texts to be included. Methodological literature, single studies, and reviews were included. A total of 536 studies were screened, of which 29 were included in the full text analysis.

RESULTS

Based on the systematic content analysis of the studies under consideration, 10 specific methodological challenges are identified, and the methodological recommendations were examined for consideration. A particular focus was given to whether specific methodological approaches might be needed in the context of evaluating the efficiency of DNT.

CONCLUSION

Many of the challenges identified for the health economic evaluations of digital nursing technologies are comparable to those of other complex health care interventions. The recommendations discussed can help to alleviate those challenges. Future research should focus on alternative approaches to assessing causality in different phases of technology development while maintaining high evidence standards. High-evidence economic assessment of technologies in nursing care should be carried out in routine use, especially if they are intended to be reimbursed by the social insurance.

The Perception of Nursing Professionals Working in a Central Sterile Supplies Department regarding Health Conditions, Workload, Ergonomic Risks, and Functional Readaptation

Background. The central sterile supply department (CSSD) is wrongly seen as a place in the hospital environment that does not require skills and physical effort, being commonly a hospital sector for the relocation of functionally-readapted professionals. However, CSSD is a work environment that demands professional experience and presents itself as a sector that does not have a healthy work environment. This study aims to evaluate the frequency of comorbidities and functionally-readapted people among nursing professionals allocated to a CSSD and, also, to seek the perception of these professionals about the ergonomic risks and the degree of difficulty to perform activities within a CSSD. Methods. This is a cross-sectional study that analyzed the opinions of nursing professionals who work in the CSSD of public hospitals in Rio de Janeiro, Brazil. Nurses, nursing technicians and nursing assistants aged ≥18 years were included. Results. Seventy-two nursing professionals were consecutively evaluated. It was observed that 43 of them (59.7%) had never worked in a CSSD. The most prevalent comorbidity in the present study was chronic rhinosinusitis, observed in more than half of the sample, although it is interesting to note the high frequency of participants with work-related musculoskeletal disorders (WMSD) and repetitive strain injuries (RSI). There is a relationship between previous work in a CSSD and the ability to identify surgical tweezers by visual recognition ( $p=0.031$ ). There is a relationship between the time the participant had previously worked in the hospital and the skill regarding the information contained in the conference folders for preparing the tray surgical procedures (τb = −0.34, $p=0.001$ ). Conclusion. Almost a third of nursing professionals working in a CSSD are rehabilitated, with a high prevalence of WMSD and RSI. The commitment of managers to an internal health policy aimed at workers is necessary for health promotion.

Evaluation frameworks for digital nursing technologies: analysis, assessment, and guidance. An overview of the literature

Background

The evaluation of digital nursing technologies (DNT) plays a major role in gaining knowledge about certain aspects of a technology such as acceptance, effectiveness, or efficiency. Evaluation frameworks can help to classify the success or failure of a DNT or to further develop the technology. In general, there are many different evaluation frameworks in the literature that provide overviews of a wide variety of aspects, which makes this a highly diverse field and raises the question how to select a suitable framework. The aim of this article is to provide orientation in the field of comprehensive evaluation frameworks that can be applied to the field of DNT and to conduct a detailed analysis and assessment of these frameworks to guide field researchers.

Methods

This overview was conducted using a three-component search process to identify relevant frameworks. These components were (1) a systematized literature search in PubMed; (2) a narrative review and (3) expert consultations. Data relating to the frameworks’ evaluation areas, purpose, perspectives, and success definitions were extracted. Quality criteria were developed in an expert workshop and a strength and weakness assessment was carried out.

Results

Eighteen relevant comprehensive evaluation frameworks for DNT were identified. Nine overarching evaluation areas, seven categories of purposes, five evaluation perspectives and three categories of success definitions could be identified. Eleven quality criteria for the strengths and weaknesses of DNT-related evaluation frameworks were developed and the included frameworks were assessed against them.

Conclusion

Evaluators can use the concise information and quality criteria of this article as a starting point to select and apply appropriate DNT evaluation frameworks for their research projects or to assess the quality of an evaluation framework for DNT, as well as a basis for exploring the questions raised in this article. Future research could address gaps and weaknesses in existing evaluation frameworks, which could improve the quality of future DNT evaluations.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12912-021-00654-8.

Effectiveness of Digital Technologies to Support Nursing Care: Results of a Scoping Review

Background

The field of digital technologies being developed or applied to support nursing care is extensive. The aim of this scoping review is to provide an overview on technologies for which results on positive or negative effects on persons in need of care, caregivers or care institutions are available and to appraise the reliability of these results.

Methods

A scoping review design has been used to identify studies focussing on the effectiveness of digital technologies in nursing care for persons in need of care, caregivers or care institutions. The screening process included 19,510 scientific publications from 9 databases.

Results

A total of 123 single studies and 31 reviews were subjected to the analysis. The included technologies comprise nursing and health information technologies, such as assistive devices, information and communication technologies, sensors and robotics. The results show that there are many studies that demonstrate positive effects, but the level of evidence is mostly low and study sizes are often small. Hardly any technology has been researched intensively enough to produce conclusive results. Studies on a high level of evidence (RCTs) lack for most technological areas. Heterogeneous results in some areas indicate that effects may depend strongly on the mode and specific context into which the technologies are introduced.

Conclusion

Due to the limited evidence on effectiveness of digital technologies in nursing care, it is not surprising that care institutions are reluctant to put innovative technologies into practice. The scoping review indicates technology areas that should be subject to future research with higher quality studies. Research on outpatient, informal and cross-sectoral care should be intensified to further exploit the potential of digital technologies with a view to improving independence of care-recipients and unburdening formal and informal carers.