Peter Anderberg

Factors influencing Internet usage in older adults (65 years and above) living in rural and urban Sweden

Older adults living in rural and urban areas have shown to distinguish themselves in technology adoption; a clearer profile of their Internet use is important in order to provide better technological and health-care solutions. Older adults’ Internet use was investigated across large to midsize cities and rural Sweden. The sample consisted of 7181 older adults ranging from 59 to 100 years old. Internet use was investigated with age, education, gender, household economy, cognition, living alone/or with someone and rural/urban living. Logistic regression was used. Those living in rural areas used the Internet less than their urban counterparts. Being younger and higher educated influenced Internet use; for older urban adults, these factors as well as living with someone and having good cognitive functioning were influential. Solutions are needed to avoid the exclusion of some older adults by a society that is today being shaped by the Internet.

The AUGMENT project: co-constructive mapping and support of accessibility and participation

This paper presents an ongoing multi-disciplinary research-and development project in which we are exploring emerging methods and practices for participatory design of tools and content of accessibility information in India and Sweden, based on user created content. The initial development of the AUGMENT-Project also includes the production of a prototype for sharing information. The joint set up and unfolding of public digital spaces and cooperative creation of processes and infrastructure for user-driven accessibility information is making use of existing handheld mobile phones which offer the possibility to upload pictures and comments via an application with a map-based interface. The research initiative is exploring and comparing cross-cultural participatory methods for cultivation of shared transformational spaces. The paper discusses both the notion of user-driven content and co-creation of tools and methods, drawing upon the tradition of Scandinavian Systems Design, explicitly arguing for direct user-representation in systems development.

Negotiating independence, choice and autonomy: experiences of parents who coordinate personal assistance on behalf of their adult son or daughter

Abstract Article 19 of the UN Convention on the Rights of Persons with Disabilities requires states to provide personal assistance services. This article is based on qualitative research in Iceland, Norway and Sweden, carried out between 2012 and 2013. The overall study focused broadly on the implementation of Article 19. This article, however, reports findings based on a particular group of participants within the larger study: non-disabled parents who coordinate personal assistance schemes for their adult son or daughter. The article examines the various ways in which the parents, the majority of whom were mothers, negotiate principles of independence, choice and autonomy for their adult son or daughter who requires intensive support, including assistance with communicating. The aim is to explore, in the context of the Convention and the principles of the independent living movement, how to acknowledge and conceptualise personal assistance schemes that require another person to manage on behalf of the user.

Evaluating Health Information Systems Using Ontologies

Background There are several frameworks that attempt to address the challenges of evaluation of health information systems by offering models, methods, and guidelines about what to evaluate, how to evaluate, and how to report the evaluation results. Model-based evaluation frameworks usually suggest universally applicable evaluation aspects but do not consider case-specific aspects. On the other hand, evaluation frameworks that are case specific, by eliciting user requirements, limit their output to the evaluation aspects suggested by the users in the early phases of system development. In addition, these case-specific approaches extract different sets of evaluation aspects from each case, making it challenging to collectively compare, unify, or aggregate the evaluation of a set of heterogeneous health information systems. Objectives The aim of this paper is to find a method capable of suggesting evaluation aspects for a set of one or more health information systems—whether similar or heterogeneous—by organizing, unifying, and aggregating the quality attributes extracted from those systems and from an external evaluation framework. Methods On the basis of the available literature in semantic networks and ontologies, a method (called Unified eValuation using Ontology; UVON) was developed that can organize, unify, and aggregate the quality attributes of several health information systems into a tree-style ontology structure. The method was extended to integrate its generated ontology with the evaluation aspects suggested by model-based evaluation frameworks. An approach was developed to extract evaluation aspects from the ontology that also considers evaluation case practicalities such as the maximum number of evaluation aspects to be measured or their required degree of specificity. The method was applied and tested in Future Internet Social and Technological Alignment Research (FI-STAR), a project of 7 cloud-based eHealth applications that were developed and deployed across European Union countries. Results The relevance of the evaluation aspects created by the UVON method for the FI-STAR project was validated by the corresponding stakeholders of each case. These evaluation aspects were extracted from a UVON-generated ontology structure that reflects both the internally declared required quality attributes in the 7 eHealth applications of the FI-STAR project and the evaluation aspects recommended by the Model for ASsessment of Telemedicine applications (MAST) evaluation framework. The extracted evaluation aspects were used to create questionnaires (for the corresponding patients and health professionals) to evaluate each individual case and the whole of the FI-STAR project. Conclusions The UVON method can provide a relevant set of evaluation aspects for a heterogeneous set of health information systems by organizing, unifying, and aggregating the quality attributes through ontological structures. Those quality attributes can be either suggested by evaluation models or elicited from the stakeholders of those systems in the form of system requirements. The method continues to be systematic, context sensitive, and relevant across a heterogeneous set of health information systems.

Machine learning and microsimulation techniques on the prognosis of dementia : A systematic literature review

Background Dementia is a complex disorder characterized by poor outcomes for the patients and high costs of care. After decades of research little is known about its mechanisms. Having prognostic estimates about dementia can help researchers, patients and public entities in dealing with this disorder. Thus, health data, machine learning and microsimulation techniques could be employed in developing prognostic estimates for dementia. Objective The goal of this paper is to present evidence on the state of the art of studies investigating and the prognosis of dementia using machine learning and microsimulation techniques. Method To achieve our goal we carried out a systematic literature review, in which three large databases—Pubmed, Socups and Web of Science were searched to select studies that employed machine learning or microsimulation techniques for the prognosis of dementia. A single backward snowballing was done to identify further studies. A quality checklist was also employed to assess the quality of the evidence presented by the selected studies, and low quality studies were removed. Finally, data from the final set of studies were extracted in summary tables. Results In total 37 papers were included. The data summary results showed that the current research is focused on the investigation of the patients with mild cognitive impairment that will evolve to Alzheimer’s disease, using machine learning techniques. Microsimulation studies were concerned with cost estimation and had a populational focus. Neuroimaging was the most commonly used variable. Conclusions Prediction of conversion from MCI to AD is the dominant theme in the selected studies. Most studies used ML techniques on Neuroimaging data. Only a few data sources have been recruited by most studies and the ADNI database is the one most commonly used. Only two studies have investigated the prediction of epidemiological aspects of Dementia using either ML or MS techniques. Finally, care should be taken when interpreting the reported accuracy of ML techniques, given studies’ different contexts.

Case management for frail older adults through tablet computers and Skype

ABSTRACT Background: Frail older adults are high consumers of medical care due to their age and multiple chronic conditions. Regular contact with a case manager has been proven to increase well-being of frail older adults and reduce their number of health-care visits. Skype calls through tablet PCs can offer easier communication. Objective: This paper examines frail older adults’ use of tablet computers and Skype, with their case managers.Method: Interviews were conducted on 15 frail older adults. A content analysis was used to structure and analyze the data. Results: The results indicate that tablet computers were experienced in a positive way for most frail older adults. Conflicting feelings did emerge, however, as to whether the frail elderly would adopt this in the long run. Skype needs to be tested further as to whether this is a good solution for communication with their case managers. Strong technical support and well-functioning technology are important elements to facilitate use. Conclusion: Using Skype and tablet PCs do have potential for frail older adults, but need to be tested further.

Negative psychosocial and heavy physical workloads associated with musculoskeletal pain interfering with normal life in older adults: Cross-sectional analysis

Aims: Pain is one of the most frequent reasons for seeking health care, and is thus a public health problem. Although there is a progressive increase in pain and impaired physical function with age, few studies are performed on older adults. The aim of this study was to investigate if there are associations between musculoskeletal pain interfering with normal life in older adults and physical and psychosocial workloads through life. Methods: The association of heavy physical workload and negative psychosocial workload and musculoskeletal pain interfering with normal life (SF 12) was analyzed by multiple logistic regression. The model was adjusted for eight background covariates: age, gender, growing-up environment, educational level, if living alone or not, obesity, smoking, and leisure physical activity. Results: Negative psychosocial and heavy physical workloads were independently associated with musculoskeletal pain interfering with normal life (adjusted OR: 4.44, 95% CI: 2.84–6.92), and (adjusted OR: 1.88, 95% CI: 1.20–2.93), respectively. The background covariates female gender and higher education were also associated with musculoskeletal pain interfering with normal life, and physical leisure activity was inversely associated. Conclusions: The findings suggest that negative psychosocial and heavy physical workloads are strongly associated with musculoskeletal pain interfering with normal life in older adults.

Implementation of a web-based national child health-care programme in a local context: A complex facilitator role

Aim: The aim of this study was to investigate child health-care coordinators’ experiences of being a facilitator for the implementation of a new national child health-care programme in the form of a web-based national guide. Methods: The study was based on eight remote, online focus groups, using Skype for Business. A qualitative content analysis was performed. Results: The analysis generated three categories: adapt to a local context, transition challenges and led by strong incentives. There were eight subcategories. In the latent analysis, the theme ‘Being a facilitator: a complex role’ was formed to express the child health-care coordinators’ experiences. Conclusions: Facilitating a national guideline or decision support in a local context is a complex task that requires an advocating and mediating role. For successful implementation, guidelines and decision support, such as a web-based guide and the new child health-care programme, must match professional consensus and needs and be seen as relevant by all. Participation in the development and a strong bottom-up approach was important, making the web-based guide and the programme relevant to whom it is intended to serve, and for successful implementation. The study contributes valuable knowledge when planning to implement a national web-based decision support and policy programme in a local health-care context.

Most Influential Qualities in Creating Satisfaction Among the Users of Health Information Systems: A Study in Seven EU Countries (Preprint)

Background Several models suggest how the qualities of a product or service influence user satisfaction. Models such as the Customer Satisfaction Index (CSI), Technology Acceptance Model (TAM), and Delone and McLean Information Systems Success demonstrate those relations and have been used in the context of health information systems. Objective This study aimed to investigate which qualities foster greater satisfaction among patient and professional users. In addition, we are interested in knowing to what extent improvement in those qualities can explain user satisfaction and whether this makes user satisfaction a proxy indicator of those qualities. Methods The Unified eValuation using ONtology (UVON) method was used to construct an ontology of the required qualities for 7 electronic health (eHealth) apps being developed in the Future Internet Social and Technological Alignment Research (FI-STAR) project, a European Union (EU) project in electronic health (eHealth). The eHealth apps were deployed across 7 EU countries. The ontology included and unified the required qualities of those systems together with the aspects suggested by the Model for ASsessment of Telemedicine apps (MAST) evaluation framework. Moreover, 2 similar questionnaires for 87 patient users and 31 health professional users were elicited from the ontology. In the questionnaires, the user was asked if the system has improved the specified qualities and if the user was satisfied with the system. The results were analyzed using Kendall correlation coefficients matrices, incorporating the quality and satisfaction aspects. For the next step, 2 partial least squares structural equation modeling (PLS-SEM) path models were developed using the quality and satisfaction measure variables and the latent construct variables that were suggested by the UVON method. Results Most of the quality aspects grouped by the UVON method are highly correlated. Strong correlations in each group suggest that the grouped qualities can be measures that reflect a latent quality construct. The PLS-SEM path analysis for the patients reveals that the effectiveness, safety, and efficiency of treatment provided by the system are the most influential qualities in achieving and predicting user satisfaction. For the professional users, effectiveness and affordability are the most influential. The parameters of the PLS-SEM that are calculated allow for the measurement of a user satisfaction index similar to CSI for similar health information systems. Conclusions For both patients and professionals, the effectiveness of systems highly contributes to their satisfaction. Patients care about improvements in safety and efficiency, whereas professionals care about improvements in the affordability of treatments with health information systems. User satisfaction is reflected more in the users’ evaluation of system output and fulfillment of expectations but slightly less in how far the system is from ideal. Investigating satisfaction scores can be a simple and fast way to infer if the system has improved the abovementioned qualities in treatment and care.

Comparing video consultation with inperson assessment for Swedish patients with hard-to-heal ulcers: registry-based studies of healing time and of waiting time

Objectives To investigate differences in ulcer healing time and waiting time between video consultation and inperson assessment for patients with hard-to-heal ulcers. Setting Patients treated at Blekinge Wound Healing Centre, a primary care centre covering the whole of Blekinge county (150 000 inhabitants), were compared with patients registered and treated according to the Registry of Ulcer Treatment, a Swedish national web-based quality registry. Participants In the study for analysing ulcer healing time, the study group consisted of 100 patients diagnosed through video consultation between October 2014 and September 2016. The control group for analysing healing time consisted of 1888 patients diagnosed through inperson assessment during the same period. In the study for analysing waiting time, the same study group (n=100) was compared with 100 patients diagnosed through inperson assessment. Primary and secondary outcome measures Differences in ulcer healing time were analysed using the log-rank test. Differences in waiting time were analysed using the Mann-Whitney U test. Results Median healing time was 59 days (95% CI 40 to 78) in the study group and 82 days (95% CI 75 to 89) in the control group (P<0.001). Median waiting time was 25 days (range: 1–83 days) in the study group and 32 days (range: 3–294 days) for patients diagnosed through inperson assessment (P=0.017). There were no significant differences between the study group and the control group regarding age, gender or ulcer size. Conclusions Healing time and waiting time were significantly shorter for patients diagnosed through video consultation compared with those diagnosed through inperson assessment.