Ariadne concept mapping software




















Rapport gebruik van richtlijnen in de care: concept mapping onderzoek naar de factoren die het bebriuk van richtlijn in de care beinvloeden. Utrecht: Vilans. Beliefs on coping with illness: a consumer's perspective. Soc Sci Med ; Towards quality indicators for assertive outreach programmes for severely impaired substance abusers: concept mapping with Dutch experts.

Towards structural quality indicators for intensive community-based care programmes for substance abusers. Community Ment Health J ; Preventing work disability among employees with rheumatoid arthritis: what medical professionals can learn from the patients' perspective. Arthritis Rheum ; Return to work after sick leave due to depression; a conceptual analysis based on perspectives of patients, supervisors and occupational physicians.

J Affect Disord ; PLoS One ;9:e To encourage the use of Ariadne in scientific research, we composed a scientific committee. The aim of the scientific committee is to inspire and to critically discuss concept mapping topics in order to guarantee quality. Furthermore the scientific committee will be an important source of feedback for developing and enhancing the software. This way, we make sure that the software will follow the wishes and demands of the users.

We are planning on expanding the committee with international experts. Home Organizers only Ariadne Manual Contact. Welcome to Ariadne for Concept Mapping Online If you want to use this application, please refer to Peter Severens You are already a user of our services?

Ariadne in practice Minds to One created a web driven tool to support concept mapping, called Ariadne. A typical session consists of: a brainstorm with experiential experts individual rating and grouping of statements gathered in the brainstorm group wise annotating of the resulting concept map Themes thus far explored: care around specific diseases or live stages service quality structuring juridical decisions service content or product propositions professional standards describing brand image.

Ariadne the movie Your browser does not support the video tag, download and install Internet Explorer or Chrome top open it. What can we do for you Minds to One offers you the possibility to autonomously plan and interpret your concept mapping sessions or to get full support in the planning and interpretation of the concept maps. Software Ariadne is a web driven tool to support concept mapping. Services around the software You can use our software but we can also help you organizing and executing session.

Below is an overview of the different costs of our services. Additional we will support the analyses in the software. VAT Prices for organisations in Europe that are not VAT eligible and or do not have an arrangement with the tax office to get a return on payed VAT, are leveled up with the VAT we will have to return to the tax office on net deliveries.

The current framework provides a preliminary overview of factors which may account for PA behaviour across the life course and are most relevant to the European community. These insights could potentially be a foundation for future Pan-European research on how these factors might interact with each other, and assist policy makers to identify appropriate interventions to maximize PA behaviours and thus the health of European citizens.

Peer Review reports. Unfortunately, the majority of European citizens do not engage in sufficient structured e. To counteract the growing social and economic costs of lifestyle-related diseases, the European platform for action on diet, PA, and health aims to increase engagement in PA in the life course of citizens, to foster research for a better understanding of HEPA, and to boost and disseminate effective health policies for the promotion of environments and values supportive of an active lifestyle [ 5 ].

Whether or not individuals choose a healthy lifestyle is influenced by a number of inter-dependent and multilevel factors. Several theories and models have been proposed to facilitate the exploration of active lifestyle choice [ 12 ]. Recently, ecological perspectives have been proposed as an effective approach in combating current physical inactivity levels [ 13 — 17 ].

Such comprehensive models commonly include individual e. Existing models provide a valuable overview but have not used a systematic methodology e. To identify key factors that promote or inhibit PA behaviours, an agreed consensus framework, which contains sufficient detail to drive the future research agenda, is necessary. This agenda should focus on how these various factors interact with each other and how individual and population variation in these factors and in their interaction have a causal impact on behaviour and health.

To address the complex social and health phenomenon of healthy lifestyles behaviours in Europe, the European Commission endorsed a Joint Programming Initiative to increase research capacity across Member States to engage in a common research agenda [ 18 ].

Twelve Member States adopted this strategy and supported the DEDIPAC-KH to realise joint collaboration and harmonisation among different scientific disciplines, to expand knowledge, to develop new insights and solutions in the stated domains of behaviours, and to prepare the ground for building a coherent approach towards diet and PA behaviours research at European level [ 19 ].

Within the DEDIPAC-KH, a cross-disciplinary team coordinated and integrated collaborative research efforts to address the theoretical and practical challenges related to the determinants of PA behaviours and their changes across the life course. The partners recognised the need to identify priorities, to create a unified vision among stakeholders, and to guide future research in Europe.

Such harmonisation is essential if meaningful research breakthroughs in the understanding of behaviour and lifestyle choice are to be made. In particular, in the current paper the terms determinants and factors are used interchangeable because they are both referring to the factors associated with PA behaviour. The identification of key factors or distinct clusters of factors, which are known to contribute to behaviour choice, as well as their level of modifiability and priority to research, will facilitate European and national policy makers in planning more effective behaviour enhancing public health policies [ 20 ].

According to the literature [ 21 — 26 ], concept mapping is deemed a valuable systematic methodology that involves a system-based approach to integrate ideas across multi-, inter-, trans-disciplinary, and professional knowledge in order to improve theory development as a sound basis for public health policies [ 20 ].

The concept mapping procedure requests participants to generate and structure statements and to identify relevant factors related to the question of interest e. The subsequent sorting and rating of suggested factors allows the identification of distinct clusters [ 27 ], which are represented in a two-dimensional concept map [ 28 ].

Clusters located close to each other carry a similar meaning, whereas distant ones are less related [ 29 ]. The involvement of a diversity of experts and disciplines is a core strength, which provides a comprehensive theoretical base to inform the concept mapping analysis [ 30 ].

This method of rating, clustering and visually mapping concepts by experts and stakeholders has been applied to create logic models to integrate practical knowledge with scientific knowledge for applied decision-making in public health [ 20 , 31 — 36 ] and to gain insights into promising active living intervention strategies [ 37 — 39 ]. The primary aim of the current study was to develop, using a concept mapping approach, a EUropean Physical Activity Determinants EU-PAD framework to be indicative of the current understanding of PA determinants, which can underpin the future European research agenda and contribute to improving the active lifestyles of European citizens across the life course.

The proposed characteristics of the framework were as follows: 1 a European and life-course view of key factors; 2 additional definition regarding the specific nature of the factors when compared to exiting models; and 3 propose how these factors may group into clusters.

It is anticipated that the framework will provide significant guidance to future determinant research within Europe and will also provide a structure to increase collaboration and the harmonisation of research methodologies. According to the literature on defining and conceptualising complex public health systems with many interacting parts acting at different levels [ 22 — 26 , 28 , 30 — 35 , 37 — 40 ], a structured consensus protocol has been developed based on concept mapping. In line with a parallel DEDIPAC-KH study on systems of sedentary behaviours [ 41 ], in the present study data collection, accomplished between December and December , encompassed multi-method means, including paper forms, face-to-face interactions, and web-based platforms organized in four main phases Table 1 : I preparation terminology, protocol and inclusion criteria of experts , II generation of statements, III structuring sorting and rating , IV analysis and interpretation.

Data analysis from each phase was necessary before progressing to the following one. In this study, PA encompasses any bodily movement produced by skeletal muscles that results in energy expenditure, which may be unstructured and everyday life activity, exercise that includes prearranged, deliberate and repetitive activity [ 44 — 47 ], and grassroots sports and competitive sports [ 4 ].

To identify and recruit European experts, the DEDIPAC-KH research team conducted a focused search for multi-disciplinary specialists with particular attention to categories of European stakeholders having a relevant role in PA and sport. In particular, a snowball reputation-based sampling procedure was used to ensure an adequate recruitment of European scholars based on their expertise in PA research within the designated categories of the European Research Council Primary Panel Structure e.

Thus, European experts were identified. According to the literature on online surveys for academic research [ 48 , 49 ], a pre-notification email providing information on the development of the EU-PAD framework was prepared for the online recruitment of the identified European experts received. Participation in the task was deemed voluntary and participants could withdraw from the study at any time without providing any reason, and incomplete response would not be considered. During a workshop, the DEDIPAC-KH research team analysed a list of potential factors associated with PA behaviours by eliminating repetitions, rewording similar statements, and condensing highly specific statements into broader ones.

Thus, a synthesis of factors was identified see numbered items in Table 2. Based on the outcomes of the above process, the synthesis of the factors was approved for the next phase of the research. Thus, the sample was considered representative of a Pan-European expertise in PA research and promotion. Respondents were informed about the aim of the investigation and the procedures to access an online analysis platform i. A three-week timeframe was given to complete the clustering and rating of factors.

The factors were entered into a project-specific Ariadne software [ 54 ], which has been used previously to develop theoretical public health frameworks in Europe [ 20 , 29 , 35 , 40 ]. The instructions stated that each factor had to be assigned to one group only, with a maximum number of ten groups permitted.

Participants were also required to rate the factors on a Likert-type scale from 1 lowest value to 5 highest value. Ratings were required for factor modifiability across the life course and for the expected population-level effect for youth, adults, and older adults, respectively. The concept mapping software Ariadne uses a combination of statistical techniques.

First, it computes a binary symmetric similarity matrix per respondent. Second, it provides an aggregated group matrix by counting the individual matrices, with high values indicating that many of the participants put the named factors together in a group which implies a conceptual similarity between statements.

This aggregated similarity matrix is then used as the input for a non-metric principal component analysis PCA , a technique for translating the distances between statements into coordinates in a multidimensional space. A stepwise analysis from the lowest number e. In general, the spatial distribution of the clusters on the map e. A stepwise analysis was performed to provide a configuration of the least number of clusters that possessed reasonable and agreed theoretical distinctions.

Through further discussion, members of the DEDIPAC-KH research team determined the labels that would best represent the content of the final configuration of clusters based on their included factors. A consensus on face validity was reached. Priority between clusters was established based on the mean values of their weighted grading.

Finally, the proposed EU-PAD framework was submitted online to the participating European experts requesting a final consensus regarding the labelling of the clusters and how the included factors represent research priorities within each cluster. When significant differences emerged, Bonferroni post-hoc comparisons were used. According to the literature [ 21 , 33 , 37 , 39 , 55 , 56 ] and to enhance the exploitation of findings for decision making directing future strategic plans, the mean ratings of the modifiability x-axis and population-level effect y-axis for the youth, adult, and older adult populations were used to plot the position of each factor relative to all other factors.

The resulting scatterplots identified four quadrants e. The preliminary analysis of the concept mapping generated two main areas Fig. Final consensus agreement for the cluster labels obtained through an online survey to all participants ranged from Legend; Straight lines represent the origin of the clusters from the 3, 4, and 5 cluster arrangements.

Table 2 presents the factors organized by cluster, including statistics for ratings of priority for research, modifiability, and population-level effects. Post-hoc analysis identified 12 factors that varied across all age groups e.

No factors in the other two clusters demonstrated a similar difference across stages of the life course see Table 2.

The relationships between modifiability and population-level effect for the youth, adult, and older adult populations are presented in Figs. Factors receiving high ratings for both modifiability and level effect are presented in Quadrant IV, in which 45 factors were noted for both the youth and older adult populations, and 47 factors for the adult population.

Twenty-five of these factors were common between the three age populations Table 3. Table 4 presents the top five factors based on mean rating for the priority for research for each cluster. Ariadne Navigation. Navigate your visitors and guests for an enhanced experience! Present promotions in your map to engage and enhance your visitors satisfaction. Ariadne Engagement. Ariadne Mapping. Ariadne boosts your efficiency by enabling you to map and localize your products.

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Schedule a free 30 minute demo call with an expert. Furthermore, people with a school diploma are less likely to exhibit delinquent behavior and more likely to continue studying and to live healthier and longer lives [ 12 - 18 ]. Subsequently, health outcomes can be improved by early diagnosis and management of specific physical and mental health problems associated with school absence [ 19 ] and by optimizing educational opportunities [ 20 ]. Therefore, school absenteeism and school dropout should be considered public health problems [ 13 , 15 , 16 , 18 ].

Behind excused school absenteeism there may be many reasons, medical absenteeism being one of them. Medical absenteeism refers to students reporting absent from school because of a wide range of health-related problems [ 1 , 12 ]. Exact numbers relating to medical absenteeism are unclear, as schools are not required to report these to the Dutch authorities. Multiple factors are involved in chronic absenteeism, and schools may differ in how they report absence [ 4 , 6 , 12 ].

However, a World Health Organization report from [ 21 ] showed that, in half of the school absenteeism cases in Dutch secondary schools, being ill was reported as the cause. This indicates that, in secondary school, medical absenteeism is a significant and prevalent type of absenteeism. However, in most countries, the approach to reducing school absenteeism primarily focuses on truancy.

Nonetheless, integrated solutions are being developed such as the involvement of physicians and public health services [ 1 , 7 , 12 ]. In the Netherlands, an integrated approach to addressing medical absenteeism has been developed, namely the Medical Advice for Sick-reported Students MASS intervention [ 23 , 24 ] see Figure 1 by Vanneste et al [ 25 ]. This intervention, as well as other school health care activities, is coordinated by the youth health care section of regional Public Health Services.

YHCP: youth health care provider. The MASS intervention shows promising effects regarding the reduction of absenteeism in secondary schools for medical reasons [ 25 - 27 ]. Many different professionals are involved in the MASS intervention and the care and support of students frequently absent from school.

This makes collaboration and the alignment of efforts more complex, but also more necessary [ 29 ]. Additionally, it could have beneficial effects for students. According to the European Commission, mHealth has a preventive function and adds value to patient-focused care [ 32 ]. Furthermore, mHealth is considered a low threshold tool to access information, change behavior, and monitor and guide a person from a distance [ 28 ]. Therefore, a supportive online application might be a helpful tool to complement the MASS intervention and enhance its effects regarding the reduction of school absenteeism and school dropout.

To develop a relevant and effective online application to complement the MASS intervention, it is key to first explore and take into account the perspectives and needs of the target population [ 35 , 36 ]: professionals in the field of school absenteeism and students. Therefore, our study focused on the following research questions:.

What are the perspectives and needs of professionals involved in the care of an absent student concerning an online application aimed at reducing school absenteeism, stimulating student autonomy, and stimulating school reintegration? What are the perspectives and needs of students concerning an online application aimed at reducing school absenteeism, stimulating student autonomy, and stimulating school reintegration?

This study followed an exploratory descriptive design. To examine the perceptions of relevant stakeholders, the participatory research method of concept mapping was used [ 37 , 38 ]. Concept mapping has been widely applied in health care—related research for this purpose [ 39 ]. Concept mapping consists of 6 steps: 1 preparation, 2 generation of statements, 3 structuring of statements, 4 analysis and representation of statements in the form of a concept map, 5 interpretation of the maps, 6 utilization of maps.

Quantitative analysis is then used to generate a representation of the collected statements in the form of a concept map. To interpret the generated concept maps, qualitative analysis is used. For our study, we recruited professionals involved in the care or support of absent students, as well as students currently attending secondary school. Concept mapping sessions were conducted with both target groups independently from each other to ensure that they could speak freely, as the hierarchy between students and professionals may affect the group dynamics and responses given.

All concept mapping sessions were facilitated by CE and RB. Regarding both target groups, we aimed for a heterogeneous group of participants, to stimulate discussion and provide a more comprehensive and diverse range of perspectives. Participants for both target groups were recruited in the period of February and March With the Public Health Service Flevoland GGD Flevoland as our base, we recruited professionals and students from the 2 largest cities in the Flevoland province: Almere , inhabitants and Lelystad 77, inhabitants [ 40 ].

The professionals were selected through purposive sampling, aiming to include 30 professionals with diverse job functions from various organizations relevant to medical school absenteeism or the MASS intervention eg, youth health care physicians, teachers, school care coordinators, remedial educationalists, other health professionals, and school attendance officers. All professionals were recruited by email.

Follow-up telephone calls were conducted with those who were nonresponsive to the initial email. To recruit students, we first contacted secondary schools—varying in educational levels—located in Almere and Lelystad by email.

Follow-up telephone calls were conducted with those that were nonresponsive to the initial email. Eventually, 3 secondary schools were willing to participate.

Once a school agreed to participate, the school sent their students a pamphlet and information letter concerning our study. The study protocol did not need approval by a Medical Ethics Review Committee because it did not fall within the legal scope of medical research involving human subjects.

All students received an informational letter, and written informed consent was obtained before participation. If a student was under the age of 16 years, a parent or caregiver received an informational letter concerning our study as well and had to cosign the informed consent form. To ensure anonymity and privacy of the participants, personal data and informed consent forms were stored in a secured file only accessible by the researchers.

Other data such as fieldnotes and online input per email during the concept mapping were de-identified, removing names and other identifying data if necessary. All data were stored and processed on a secured network drive at the university. All sessions followed a similar structure, using the 6 steps involved in concept mapping. We organized 3 concept mapping sessions with professionals maximum of 2 hours.

The first 2 sessions were physical meetings, and the third one was conducted online. We also conducted 3 concept mapping sessions with students at the 3 school locations. However, with Hidding et al [ 41 ] as an example, the concept mapping sessions conducted with the students were split into 2 parts because their attention spans can be more limited than that of adults.

The first part 1 hour consisted of the generation of statements step 2 of concept mapping. The second part 1 hour consisted of the structuring of statements step 3. Between the first and second part was an intermission of weeks. Participants were selected, and the focus statement was formulated. The focus statement for the student sessions was intentionally formulated more broadly in order to explore their overall supportive needs and not only their need for an online application.

Each concept mapping session started with an introduction to the topic and concept mapping. Then, participants were asked to respond to the focus statement and to generate as many statements as possible. Participants started with an individual brainstorm of approximately 10 minutes, after which they shared their responses in a group brainstorm. Participants were asked to share 1 statement at a time, after which the other participants could add something to this statement.

In the online session only with professionals , all the statements of the individual brainstorm were sent by email to the facilitators, who merged all the statements and subsequently shared all the statements with the group.

Then, via email, participants could respond to the given statements and add new ones. Regarding all sessions, the final list of generated statements was reformulated, where necessary, by the session facilitators CE and RB and discussed with MH and FS until consensus was reached to keep the meaning of the statements clear and understandable for every participant.

The structuring of statements was conducted using the concept mapping software Ariadne 3. Participants first individually organized all statements generated in their session according to content, grouping statements into clusters of related statements.

Using Ariadne 3. Statements that are frequently placed together are similar in content and presented more closely together on the concept map, resulting in clusters. Statements that are seldomly placed together by the participants are placed on the map opposite from each other. The analyses were conducted separately for each concept mapping session. Similarities between statements in every cluster were identified. The researchers named each cluster in the final concept maps by the overarching theme that it represented.

Subsequently, the researchers critically contemplated the clusters generated by the software Ariadne 3.

After deliberation and when consensus between the researchers was reached, some of the statements were moved to other clusters nearby, or new clusters were formed. Finally, using Ariadne 3. The sixth and final concept mapping step, utilization of the maps, involves the identification of determinants that could be used for the development of a supportive mobile online application to complement the MASS intervention see Discussion. The data from each concept mapping session were analyzed with the software program Ariadne 3.

The analyses resulted in 1 concept map per session. Overall, 23 professionals participated in our concept mapping sessions Table 1. For the first session, 28 professionals were invited, of which 5 were able to participate. For the second session, 17 professionals were invited, of which 10 were able to participate. The third online session consisted of 8 professionals who were initially invited for the first or second session but could not participate earlier because of a busy work schedule.

In this session, only 6 participants were involved with the clustering and prioritizing of the statements step three of concept mapping , again because of a busy work schedule. The MASS criteria were met by 8 participants see Figure 1 , Step 2 [ 24 , 25 ] of school absenteeism for medical reasons.

Although 4 participants, of which 3 met the MASS criteria, were not able to attend the second part of the concept mapping session, 1 of them completed the session online.



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