Time trends in body height according to educational level. A descriptive study from the Tromsø Study 1979-2016.

OBJECTIVES: The objective of our study was to describe time trends in body height according to attained educational level in women and men in Norway. METHODS: We used previously collected data from six repeated cross-sectional studies in the population based Tromsø Study 1979-2016. Measured body height in cm and self-reported educational level were the primary outcome measures. We included 31 466 women and men aged 30-49 years, born between 1930 and 1977. Participants were stratified by 10-year birth cohorts and allocated into four groups based on attained levels of education. Descriptive statistics was used to estimate mean body height and calculate height differences between groups with different educational levels. RESULTS: Mean body height increased by 3.4 cm (95% confidence interval (CI) 3.0, 3.8) in women (162.5-165.9 cm) and men (175.9-179.3 cm) between 1930 and 1977. The height difference between groups with primary education compared to long tertiary education was 5.1 cm (95% CI 3.7, 6.5) in women (161.6-166.7 cm) and 4.3 cm (95% CI 3.3, 5.3) in men (175.0-179.3 cm) born in 1930-39. The height differences between these educational groups were reduced to 3.0 cm (95% CI 1.9, 4.1) in women (163.6-166.6 cm) and 2.0 cm (95% CI 0.9, 3.1) in men (178.3-180.3 cm) born in 1970-77. CONCLUSIONS: Body height increased in women and men. Women and men with long tertiary education had the highest mean body height, which remained stable across all birth cohorts. Women and men in the three other groups had a gradual increase in height by birth cohort, reducing overall height differences between educational groups in our study population.

Personal continuity of GP care and outpatient specialist visits in people with type 2 diabetes: A cross-sectional survey.

BACKGROUND: Continuity of care is particularly important for patients with chronic conditions, such as type 2 diabetes (T2D). Continuity is shown to reduce overall health service utilization among people with diabetes, however, evidence about how it relates to the utilization of outpatient specialist services in Norway is lacking. The aim of this study was to investigate continuity of GP care for people with T2D, and its association with the use of outpatient specialist health care services. METHODS: We used e-mail questionnaire data obtained from members of The Norwegian Diabetes Association in 2018. Eligible for analyses were 494 respondents with T2D and at least one GP visit during the previous year. By descriptive statistics and logistic regressions, we studied usual provider continuity (UPC) and duration of the patient-GP relationship and associations of these measures with somatic outpatient specialist visits. Analyses were adjusted for gender, age, education, self-rated health, and diabetes duration. RESULTS: Mean age was 62.6 years and mean UPC was 0.85 (CI 0.83-0.87). Two thirds of the sample (66.0%) had made all visits to the regular GP during the previous year (full continuity). Among these, 48.1% had made one or more specialist visits during the previous year, compared to 65.2% among those without full continuity. The probability of outpatient specialist visits was significantly lower among participants with full continuity, compared to those without full continuity (Odds Ratio 0.53, Confidence Interval 0.35-0.80). The probability of visiting outpatient specialist services was not associated with duration of the patient-GP relationship. CONCLUSIONS: We conclude that continuity of care, as measured by Usual Provider Continuity, is high and associated with reduced use of somatic outpatient specialist services in people with T2D in Norway. Continuity and its benefits will become increasingly important as the number of older people with diabetes and other chronic diseases increases.

Impact of spiritual healing on moderate depression in adults: a study protocol of a pilot randomised controlled trial (RCT).

INTRODUCTION: Depression is a common mental disorder and the (global) leading cause of all non-fatal burden of disease worldwide. Currently, supported treatment for depression is antidepressant medication and different psychotherapeutic interventions. Many patients experience, however, adverse effects of antidepressant medication, while at the same time the access to psychotherapeutic interventions are limited. Many patients who suffer from depression turn to complementary medicine and among those modalities often spiritual healing. There is some evidence that consulting a spiritual healer can be beneficial for patients who suffer from depression, and that spiritual healing is associated with low risk. The aim of this protocol is to conduct a pilot randomised controlled trial (RCT) (spiritual healing as addition to usual care vs usual care alone) in preparation of a larger trial in adults with moderate depression, to examine feasibility and individuals' experience of spiritual healing. METHODS AND ANALYSIS: This study is a pilot RCT with two parallel groups. A total of 28 adult patients with moderate depression, diagnosed by the physician and according to the Montgomery and Åsberg Depression Rating Scale criteria will be randomised to spiritual healing in addition to usual care (n=14) or usual care alone (n=14). To determine if there is a statistical indication of an effect of healing warranting a full-scale study; the separation test will be used. To investigate participants' experience with spiritual healing, a qualitative study will be included using semistructured interviews. The data will be analysed based on a direct content analysis. ETHICS AND DISSEMINATION: This protocol was approved by regional committees for medical and health research ethics by the identifier (63692). The results will be disseminated through open-access, peer-reviewed publications, in addition to stakeholders' reporting and presenting at conferences. TRIAL REGISTRATION: Norwegian Centre for Research Data (845302) and clinicaltrials.gov (ID: NCT04766242).

Are lifestyle changes from online information associated with discussing the information with a doctor? A cross -sectional study.

BACKGROUND: The prevalence of diabetes and the use of electronic health (eHealth) are increasing. Lifestyle changes in a positive direction may reduce morbidity and mortality in patients with diabetes. The main objective of this study was to test the association between lifestyle changes based on online information seeking and discussing the information with a doctor. METHODS: In this cross-sectional study we used e-mail survey data from 1250 members of The Norwegian Diabetes Association, collected in 2018. Included in the analyses were 847 men and women aged 18 to 89 years diagnosed with diabetes and who reported use of eHealth within the previous year. We used descriptive statistics to estimate lifestyle changes based on information from the internet. Logistic regressions were used to estimate the associations between lifestyle changes after online information seeking and discussing the information with a doctor. Analyses were adjusted for gender, age, education, and self-rated health. RESULTS: Lifestyle changes accomplished after online information seeking was reported by 46.9% (397/847) of the participants. The odds of changing lifestyle were more than doubled for those who had discussed information from the internet with a doctor (odds ratio 2.54, confidence interval 1.90-3.40). The odds of lifestyle changes were lower in the age groups 30-39 years and 60 years and over, compared to those aged 18-29 years (the reference group). Lifestyle changes were not associated with gender, education, or self-rated health. CONCLUSIONS: Our findings indicate that health-care professionals can play an important role in lifestyle changes additional to health-advice found on the internet. This study underlines the importance of easily accessible high-quality online information, as well as the importance of making room for discussing lifestyle in the clinical encounter.

Lifestyle changes among people with type 2 diabetes are associated with participation in online groups and time since diagnosis.

BACKGROUND: For people with Type 2 diabetes (T2D), lifestyle changes may be the most effective intervention. Online groups for people with diabetes holds a great potential to support such changes. However, little is known about the association between participation in online groups and lifestyle changes based on internet information in people with T2D. The aim of this study was to investigate the association between self-reported lifestyle changes and participation in online groups in people with T2D. METHODS: We used e-mail survey data from 1,250 members of The Norwegian Diabetes Association, collected in 2018. Eligible for analyses were the 540 respondents who reported to have T2D. By logistic regressions we studied the association between self-reported lifestyle changes and participation in online groups. Analyses were adjusted for gender, age, education, and time since diagnosis. RESULTS: We found that 41.9 % of the participants reported lifestyle changes based on information from the internet. Only 6 % had participated in online groups during the previous year. Among those with a disease duration of less than 10 years, 56.0 % reported lifestyle changes, whereas 33.4 % with a disease duration of 10 years or more did so. The odds for lifestyle changes were more than doubled for those who participated in online groups. People who had been diagnosed with diabetes for less than 10 years were significantly more likely to change their lifestyle compared to those with a longer disease duration. CONCLUSIONS: Lifestyle changes based on information from the internet among people with T2D are associated with participation in online groups. Lifestyle changes are also associated with time since diagnosis, making the first years after a T2D diagnosis particularly important for lifestyle interventions. People with T2D, web site developers, online group moderators, health care services, and patient organisations should be aware of this important window for lifestyle change, and encourage participation in online groups.

Measuring the Effects of Sharing Mobile Health Data During Diabetes Consultations: Protocol for a Mixed Method Study.

BACKGROUND: There is rising demand for health care's limited resources. Mobile health (mHealth) could be a solution, especially for those with chronic illnesses such as diabetes. mHealth can increases patients' options to self-manage their health, improving their health knowledge, engagement, and capacity to contribute to their own care decisions. However, there are few solutions for sharing and presenting patients' mHealth data with health care providers (HCPs) in a mutually understandable way, which limits the potential of shared decision making. OBJECTIVE: Through a six-month mixed method feasibility study in Norway, we aim to explore the impacts that a system for sharing patient-gathered data from mHealth devices has on patients and HCPs during diabetes consultations. METHODS: Patients with diabetes will be recruited through their HCPs. Participants will use the Diabetes Diary mobile phone app to register and review diabetes self-management data and share these data during diabetes consultations using the FullFlow data-sharing system. The primary outcome is the feasibility of the system, which includes HCP impressions and expectations (prestudy survey), usability (System Usability Scale), functionalities used and data shared during consultations, and study-end focus group meetings. Secondary outcomes include a change in the therapeutic relationship, patient empowerment and wellness, health parameters (HbA1c and blood pressure), and the patients' own app-registered health measures (blood glucose, medication, physical activity, diet, and weight). We will compare measures taken at baseline and at six months, as well as data continuously gathered from the app. Analysis will aim to explain which measures have changed and how and why they have changed during the intervention. RESULTS: The Full Flow project is funded for 2016 to 2020 by the Research Council of Norway (number 247974/O70). We approached 14 general practitioner clinics (expecting to recruit 1-2 general practitioners per clinic) and two hospitals (expecting to recruit 2-3 nurses per hospital). By recruiting through the HCPs, we expect to recruit 74 patients with type 2 and 33 patients with type 1 diabetes. Between November 2018 and July 2019, we recruited eight patients and 15 HCPs. During 2020, we aim to analyze and publish the results of the collected data from our patient and HCP participants. CONCLUSIONS: We expect to better understand what is needed to be able to share data. This includes potential benefits that sharing patient-gathered data during consultations will have on patients and HCPs, both individually and together. By measuring these impacts, we will be able to present the possibilities and challenges related to a system for sharing mHealth data for future interventions and practice. Results will also demonstrate what needs to be done to make this collaboration between HCPs and patients successful and subsequently further improve patients' health and engagement in their care.

Use of traditional and complementary medicine among Norwegian cancer patients in the seventh survey of the Tromsø study.

BACKGROUND: Traditional and complementary medicine (T&CM) is commonly used by cancer patients in Northern Norway, in particular spiritual forms like traditional healing. T&CM is mainly used complementary to conventional cancer treatment and is rarely discussed with conventional health care providers, increasing the risk of negative interaction with conventional cancer care. The aim of this study was to investigate the use of T&CM among cancer patients in Tromsø, and to investigate the differences in T&CM use between people living with cancer, people with cancer previously, and people without a history of cancer. METHOD: Data was drawn from the seventh survey of the Tromsø study conducted in 2015-2016. All inhabitants of Tromsø aged 40 and above were invited to participate (n = 32,591) of whom n = 21,083 accepted the invitation (response rate 65%). Data was collected thorough three self-administered questionnaires and a comprehensive clinical examination. Pearson chi-square tests, Fisher exact tests and one-way ANOVA tests were used to describe differences between the groups while binary logistic regressions were used for adjusted values. RESULTS: Eight percent of the participants (n = 1636) reported to have (n = 404) or have had (n = 1232) cancer. Of the participants with cancer at present 33.4% reported use of T&CM within the last year, 13.6% had consulted a T&CM provider, 17.9% had used herbal medicine/natural remedies and 6.4% had practiced self-help techniques. The participants with cancer at present were more likely to have visited a T&CM provider than participants with cancer previously (13.6% vs. 8.7%, p = 0.020). Among the participants with cancer at present, 6.4% reported to have consulted a TM provider, 5.8% had consulted an acupuncturist, while 4.7% had consulted other CM providers. Women were significantly more likely than men to have used acupuncture and self-help techniques. No significant gender differences were found regarding visits to other CM providers, TM providers nor use of herbal medicine/natural remedies. CONCLUSION: The findings are in line with previous research suggesting that both men and women use TM complementary to other CM modalities outside the official health care system. As herbal medicine might interact with conventional cancer treatment, health care providers need to discuss such use with their patients.

Design and Prestudy Assessment of a Dashboard for Presenting Self-Collected Health Data of Patients With Diabetes to Clinicians: Iterative Approach and Qualitative Case Study.

BACKGROUND: Introducing self-collected health data from patients with diabetes into consultation can be beneficial for both patients and clinicians. Such an initiative can allow patients to be more proactive in their disease management and clinicians to provide more tailored medical services. Optimally, electronic health record systems (EHRs) should be able to receive self-collected health data in a standard representation of medical data such as Fast Healthcare Interoperability Resources (FHIR), from patients systems like mobile health apps and display the data directly to their users-the clinicians. However, although Norwegian EHRs are working on implementing FHIR, no solution or graphical interface is available today to display self-collected health data. OBJECTIVE: The objective of this study was to design and assess a dashboard for displaying relevant self-collected health data from patients with diabetes to clinicians. METHODS: The design relied on an iterative participatory process involving workshops with patients, clinicians, and researchers to define which information should be available and how it should be displayed. The assessment is based on a case study, presenting an instance of the dashboard populated with data collected from one patient with diabetes type 1 (in-house researcher) face-to-face by 14 clinicians. We performed a qualitative analysis based on usability, functionality, and expectation by using responses to questionnaires that were distributed to the 14 clinicians at the end of the workshops and collected before the participants left. The qualitative assessment was guided by the Standards for Reporting Qualitative Research. RESULTS: We created a dashboard permitting clinicians to assess the reliability of self-collected health data, list all collected data including medical calculations, and highlight medical situations that need to be investigated to improve the situation of the patients. The dashboard uses a combination of tables, graphs, and other visual representations to display the relevant information. Clinicians think that this type of solution will be useful during consultations every day, especially for patients living in remote areas or those who are technologically interested. CONCLUSIONS: Displaying self-collected health data during consultations is not enough for clinicians; the data reliability has to be assured and the relevant information needs to be extracted and displayed along with the data to ease the introduction during a medical encounter. The prestudy assessment showed that the system provides relevant information to meet clinicians' need and that clinicians were eager to start using it during consultations. The system has been under testing in a medical trial since November 2018, and the first results of its assessment in a real-life situation are expected in the beginning of next year (2020).

Inequalities in the Use of eHealth Between Socioeconomic Groups Among Patients With Type 1 and Type 2 Diabetes: Cross-Sectional Study.

BACKGROUND: The prevalence of diabetes and the use of electronic health (eHealth) are increasing. People with diabetes need frequent monitoring and follow-up of health parameters, and eHealth services can be highly valuable. However, little is known about the use of eHealth in different socioeconomic groups among people with diabetes. OBJECTIVE: The aim of this study was to investigate the use of 4 different eHealth platforms (apps, search engines, video services, and social media sites) and the association with socioeconomic status (SES) among people diagnosed with type 1 and type 2 diabetes mellitus (T1D and T2D, respectively). METHODS: We used email survey data from 1250 members of the Norwegian Diabetes Association (aged 18-89 years), collected in 2018. Eligible for analyses were the 1063 respondents having T1D (n=523) and T2D (n=545). 5 respondents reported having both diabetes types and thus entered into both groups. Using descriptive statistics, we estimated the use of the different types of eHealth. By logistic regressions, we studied the associations between the use of these types of eHealth and SES (education and household income), adjusted for gender, age, and self-rated health. RESULTS: We found that 87.0% (447/514) of people with T1D and 77.7% (421/542) of people with T2D had used 1 or more forms of eHealth sometimes or often during the previous year. The proportion of people using search engines was the largest in both diagnostic groups, followed by apps, social media, and video services. We found a strong association between a high level of education and the use of search engines, whereas there were no educational differences for the use of apps, social media, or video services. In both diagnostic groups, high income was associated with the use of apps. In people with T1D, lower income was associated with the use of video services. CONCLUSIONS: This paper indicates a digital divide among people with diabetes in Norway, with consequences that may contribute to sustaining and shaping inequalities in health outcomes. The strong relationship between higher education and the use of search engines, along with the finding that the use of apps, social media, and video services was not associated with education, indicates that adequate communication strategies for audiences with varying education levels should be a focus in future efforts to reduce inequalities in health outcomes.

Use of Electronic Health and Its Impact on Doctor-Visiting Decisions Among People With Diabetes: Cross-Sectional Study.

BACKGROUND: Despite the increasing prevalence of diabetes and increasing use of electronic health (eHealth) among people with diabetes, little is known about the association between the use of eHealth and the use of provider-based health services. OBJECTIVE: The objective of this study was to investigate whether the use of eHealth might change patients' decisions regarding doctor-seeking behavior and whether information acquired from the internet was discussed with a doctor. METHODS: We used email survey data collected in 2018 from members of the Norwegian Diabetes Association (aged 18 to 89 years) diagnosed with diabetes. Using logistic regressions, we studied patients' internet-triggered changes in decisions regarding doctor visits; whether they discussed information from the internet with a doctor; and whether these topics were associated with gender, age, education, self-rated health, and self-reported anxiety/depression. RESULTS: Among the 895 informants, 75.4% (645/856) had never made an internet-triggered change of decision in any direction regarding visiting a doctor, whereas 16.4% (41/859) had decided to visit and 17.3% (148/856) had decided not to visit. The probability of changing decisions decreased with higher age and increased with the severity of self-reported anxiety/depression. Around half of the study participants (448/858, 52.2%) had never discussed information from the internet with a doctor. The probability of discussing internet information with a doctor was higher for those in bad/very bad self-rated health (odds ratio 2.12, CI 1.15-3.90) and for those with moderate self-reported anxiety/depression (odds ratio 2.30, CI 1.30-4.10). CONCLUSIONS: Our findings suggest that using eHealth has a significant impact on doctor-visiting decisions among people with diabetes, especially among people aged 18 to 39 years and among those reporting anxiety/depression. It is of great importance that the information posted is of high quality and that the large differences between internet-users regarding age as well as mental and somatic health status are taken into account. More research is needed to confirm and further explore the findings of this study.

Associations Between the Use of eHealth and Out-of-Hours Services in People With Type 1 Diabetes: Cross-Sectional Study.

BACKGROUND: Despite the increasing prevalence of diabetes and the increasing use of eHealth, little is known about the association between provider-based health services and eHealth among people with diabetes. This is the second study in a project exploring the associations between the use of eHealth and the use of provider-based health services. OBJECTIVE: The objective of this study was to investigate which eHealth services are used among out-of-hours (OOH) visitors with type 1 diabetes (T1D), and whether the use of eHealth (eg, apps, search engines, video services, and social media) was associated with the use of OOH services. We also wanted to investigate associations between anxiety, reassurance, and change in doctor-seeking behavior because of health information acquired from the Internet, and the use of OOH services. METHODS: We used data from a 2018 email survey of members of the Norwegian Diabetes Association (18-89 years old). Respondents with T1D were eligible for analyses. Using descriptive statistics, we estimated the use of OOH services and eHealth. Using logistic regressions, we studied the associations between the use of OOH services and the use of eHealth, as well as associations between the use of OOH services and reported consequences of using Internet-based health information. RESULTS: In the sample of 523 people with T1D (mean age 47 years), 26.7% (129/484) visited OOH services once or more during the previous year. Among the OOH visitors, search engines were used for health purposes by 86.7% (111/128), apps (health apps in general) by 63.6% (82/129), social media by 45.3% (58/128), and video services by 28.4% (36/127). The use of OOH services was positively associated with self-reported anxiety/depression (odds ratio [OR] 4.53, 95% CI 1.43-14.32) and with the use of apps (OR 1.73, 95% CI 1.05-2.85), but not with other types of eHealth. Those who had felt anxious based on information from the Internet were more likely to visit OOH services compared with those who had not felt anxious (OR 2.38, 95% CI 1.50-3.78). People who had decided to consult a doctor based on information from the Internet were more likely to visit OOH services (OR 2.76, 95% CI 1.64-4.66), compared to those who had not made such an Internet-based decision. CONCLUSIONS: People with T1D were frequent users of OOH services, and the OOH visitors were frequent users of eHealth. The use of OOH services was positively associated with the use of health apps, with self-reported anxiety/depression, and with feeling anxious based on information from the Internet. Likewise, deciding to consult a doctor based on information from the Internet was positively associated with OOH visits. The use of eHealth seems to have a significant impact on people with T1D.

Relations Between the Use of Electronic Health and the Use of General Practitioner and Somatic Specialist Visits in Patients With Type 1 Diabetes: Cross-Sectional Study.

BACKGROUND: The prevalence of diabetes and the use of electronic health (eHealth) are increasing. People with diabetes need frequent monitoring and follow-up of health parameters, and eHealth services can be of great value. However, little is known about the association between the use of eHealth and provider-based health care services among people with diabetes. OBJECTIVE: The objective of this study was to investigate the use of 4 different eHealth platforms (apps, search engines, video services, and social media sites) and associations with the use of provider-based health care visits among people diagnosed with type 1 diabetes mellitus (T1DM). METHODS: We used email survey data collected from 1250 members of the Norwegian Diabetes Association (aged 18 to 89 years) in 2018. Eligible for analyses were the 523 respondents with T1DM. Using descriptive statistics, we estimated the use of eHealth and the use of general practitioners (GPs) and somatic specialist outpatient services. By logistic regressions, we studied the associations between the use of these provider-based health services and the use of eHealth, adjusted for gender, age, education, and self-rated health. RESULTS: Of the sample of 523 people with T1DM, 90.7% (441/486) had visited a GP once or more, and 61.0% (289/474) had visited specialist services during the previous year. Internet search engines (such as Google) were used for health purposes sometimes or often by 84.0% (431/513), apps by 55.4% (285/514), social media (such as Facebook) by 45.2% (232/513), and video services (such as YouTube) by 23.3% (118/506). Participants aged from 18 to 39 years used all forms of eHealth more than people aged 40 years and older, with the exception of social media. The use of search engines was positively associated with the use of somatic specialist services (odds ratio 2.43, 95% CI 1.33-4.45). GP visits were not associated with any kind of eHealth use. CONCLUSIONS: eHealth services are now widely used for health support and health information by people with T1DM, primarily in the form of search engines but often in the form of apps and social media as well. We found a positive association between the use of search engines and specialist visits and that people with T1DM are frequent users of eHealth, GPs, and specialist services. We found no evidence that eHealth reduces the use of provider-based health care; these services seem to be additional rather than alternative. Future research should focus on how health care services can meet and adapt to the high prevalence of eHealth use. Our results also indicate that many patients with T1DM do not visit specialist clinics once a year as recommended. This raises questions about collaboration in health care services and needs to be followed up in future research.

Clinical Videoconferencing as eHealth: A Critical-Realist Review and Qualitative Meta-Synthesis.

BACKGROUND: Earlier work has described videoconferencing technologies, peripheral equipment, organizational models, human relations, purposes, goals and roles as versatile, multifaceted, and those used differently in different clinical practices. Knowledge about benefits and challenges connected to specific characteristics of services are lacking. A 2005 systematic review of published definitions of electronic health (eHealth) identified 51 unique definitions. In addition, the "10 E's of eHealth" was developed. In 2015, the question "What Is eHealth: Time for an Update?" was posed. OBJECTIVE: Considering videoconferencing as eHealth, the objective of the paper is twofold: to demonstrate and cluster (different) clinical videoconferencing practices and their situated implications and to suggest interpretive concepts that apply to all clusters and contribute to generative learning of eHealth by discussing the concepts as add-ons to existing descriptions of eHealth in the "10 E's of eHealth." METHODS: We performed a literature search via the National Center for Biotechnology Information, encompassing PubMed and PubMedCentral, for quality reviews and primary studies. We used the terms "videoconferencing" and "clinical practices." The selection process was based upon clearly defined criteria. We used an electronic form to extract data. The analysis was inspired by critical and realist review types, grounded theory, and qualitative meta-synthesis. RESULTS: The search returned 354 reviews and primary studies. This paper considered the primary studies, and 16 were included. We identified the following 4 broad clusters: videoconferencing as a controlled technological intervention within existing health care organizations for expert advice, controlled mixed interventions with experimental organizational arrangements, videoconferencing as an emerging technosocial service involving dialogue and empowerment of patients, and videoconferencing as a controlled intervention to improve administrative efficiency. The analysis across the clusters resulted in a proposal to add the following 4 D's to the existing 10 E's: (inter)-dependent, differentiated across services and along temporal lines, dynamic in terms of including novel elements for meeting incremental needs, and demanding in terms of making new challenges and dual results visible and needing fresh resources to meet those challenges. For a normative discussion about what eHealth should be according to authors' conclusions, results suggested ethical, in that users interests should be respected, and not harmful in terms of increasing symptom burden. CONCLUSIONS: Services were enacted as dynamic, differentiated concerning content and considerations of quality and adaptive along temporal lines. They were made to work from an ongoing demand for fresh resources, making them interdependent. The 4 D's-Dynamic, Differentiated, Demanding, and (inter) Dependent-serve as pragmatic add-ons to the "10 E's of eHealth." Questions concerning outcome of specified balances between standardization and customization in clinical settings should be addressed in future research along with the emerging dual character of outcome: services being considered both "good" and "bad."

Design and Development of a Context-Aware Knowledge-Based Module for Identifying Relevant Information and Information Gaps in Patients With Type 1 Diabetes Self-Collected Health Data.

BACKGROUND: Patients with diabetes use an increasing number of self-management tools in their daily life. However, health institutions rarely use the data generated by these services mainly due to (1) the lack of data reliability, and (2) medical workers spending too much time extracting relevant information from the vast amount of data produced. This work is part of the FullFlow project, which focuses on self-collected health data sharing directly between patients' tools and EHRs. OBJECTIVE: The main objective is to design and implement a prototype for extracting relevant information and documenting information gaps from self-collected health data by patients with type 1 diabetes using a context-aware approach. The module should permit (1) clinicians to assess the reliability of the data and to identify issues to discuss with their patients, and (2) patients to understand the implication their lifestyle has on their disease. METHODS: The identification of context and the design of the system relied on (1) 2 workshops in which the main author participated, 1 patient with type 1 diabetes, and 1 clinician, and (2) a co-design session involving 5 patients with type 1 diabetes and 4 clinicians including 2 endocrinologists and 2 diabetes nurses. The software implementation followed a hybrid agile and waterfall approach. The testing relied on load, and black and white box methods. RESULTS: We created a context-aware knowledge-based module able to (1) detect potential errors, and information gaps from the self-collected health data, (2) pinpoint relevant data and potential causes of noticeable medical events, and (3) recommend actions to follow to improve the reliability of the data issues and medical issues to be discussed with clinicians. The module uses a reasoning engine following a hypothesize-and-test strategy built on a knowledge base and using contextual information. The knowledge base contains hypotheses, rules, and plans we defined with the input of medical experts. We identified a large set of contextual information: emotional state (eg, preferences, mood) of patients and medical workers, their relationship, their metadata (eg, age, medical specialty), the time and location of usage of the system, patient-collected data (eg, blood glucose, basal-bolus insulin), patients' goals and medical standards (eg, insulin sensitivity factor, in range values). Demonstrating the usage of the system revealed that (1) participants perceived the system as useful and relevant for consultation, and (2) the system uses less than 30 milliseconds to treat new cases. CONCLUSIONS: Using a knowledge-based system to identify anomalies concerning the reliability of patients' self-collected health data to provide information on potential information gaps and to propose relevant medical subjects to discuss or actions to follow could ease the introduction of self-collected health data into consultation. Combining this reasoning engine and the system of the FullFlow project could improve the diagnostic process in health care.

Prevalence and predictors of complementary and alternative medicine use among people with coronary heart disease or at risk for this in the sixth Tromsø study: a comparative analysis using protection motivation theory.

BACKGROUND: Engagement in healthy lifestyle behaviors, such as healthy diet and regular physical activity, are known to reduce the risk of developing coronary heart disease (CHD). Complementary and alternative medicine (CAM) is known to be associated with having a healthy lifestyle. The primary aim of this study was to examine the prevalence and predictors of CAM use in CHD patients, and in those without CHD but at risk for developing CHD, using Protection Motivation Theory (PMT) as a guiding conceptual framework. METHOD: Questionnaire data were collected from 12,981 adult participants in the cross-sectional sixth Tromsø Study (2007-8). Eligible for analyses were 11,103 participants who reported whether they had used CAM or not. Of those, 830 participants reported to have or have had CHD (CHD group), 4830 reported to have parents, children or siblings with CHD (no CHD but family risk), while 5443 reported no CHD nor family risk of CHD. We first compared the patterns of CAM use in each group, and then examined the PMT predictors of CAM use. Health vulnerability from the threat appraisal process of PMT was assessed by self-rated health and expectations for future health. Response efficacy from the coping appraisal process of PMT was assessed as preventive health beliefs and health behavior frequency. RESULTS: Use of CAM was most commonly seen in people with no CHD themselves, but family risk of developing CHD (35.8%), compared to people already diagnosed with CHD (30.2%) and people with no CHD nor family risk (32.1%). All four of the PMT factors; self-rated health, expectations for future health, preventive health beliefs, and the health behavior index - were predictors for CAM use in the no CHD but family risk group. CONCLUSION: These findings suggest that people use CAM in response to a perceived risk of developing CHD, and to prevent disease and to maintain health.

Experiences of general practitioner continuity among women with chronic fatigue syndrome/myalgic encephalomyelitis: a cross-sectional study.

BACKGROUND: Continuity of care is important for patients with chronic illness in need of coordinated healthcare services from multiple providers. Little is known about how patients with chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME) experience continuity of GP care. This study explores how women with CFS/ME experience GP care across the three dimensions of continuity: informational, management, and relational continuity. METHODS: This cross-sectional study uses questionnaire data collected from members of The Norwegian ME Association. Descriptive statistics and logistic regressions were used to estimate experiences of continuity, and associations with age, education, self-rated degree of CFS/ME, duration of the GP relation (GP duration), and number of GP visits for CFS/ME-related issues during the previous year (GP frequency). RESULTS: Almost two-thirds of participants reported positive experiences across all three dimensions of GP continuity of care; 64.4% for informational, 64.1% for management, and 77.2% for relational continuity. Lower educational attainment was associated with more negative experiences of informational continuity (primary school only compared to university educated: odds ratio [OR] 0.12, confidence interval [CI] 0.03-0.49, p = 0.003). Compared to participants aged 40-59 years, those aged 60+ years were significantly less likely to have experienced poor (negative) management continuity (OR 0.25, CI 0.09-0.76, p = 0.014). A GP relationship of three or more years was associated with positive experiences of relational continuity (OR 2.32, CI 1.09-4.95, p = 0.030). Compared to those with moderate CFS/ME, those who graded their CFS/ME as severe or very severe were significantly more likely to have negative experiences of relational continuity (OR 0.38, CI 0.14-0.99, p = 0.047). CONCLUSIONS: A large proportion of participants experienced all three aspects of continuity of GP care (especially the relational dimension) positively. Informational and management continuity scores were moderately lower. Our results suggest greater emphasis on information giving, feedback, and better coordination of care to be good strategies for practice improvement for this patient group.

The use of CAM providers and psychiatric outpatient services in people with anxiety/depression: a cross-sectional survey.

BACKGROUND: Depression has been identified as one of the most frequent predictors of CAM use. However, limited data exist about the use of CAM providers among people with anxiety/depression in Norway. The aim of this study was to investigate the use of CAM providers, and the use of CAM providers and psychiatric outpatient services in combination, among people with self-reported anxiety and/or depression. METHODS: We used questionnaire data from 12,982 participants (30-87 years) in the cross-sectional sixth Tromsø Study (conducted in 2007-8). Eligible for analyses in our study were 1685 participants who reported suffering from anxiety and/or depression. By descriptive statistical methods, we estimated the use of CAM providers, psychiatric outpatient services, and the combination of these. By logistic regressions we studied the association between the use of these services and gender, age, income, education, and self-reported degree of anxiety/depression. RESULTS: During the previous year, 17.8 % of people with anxiety/depression visited a CAM provider once or more, 11.8 % visited psychiatric outpatient services, and 2.5 % visited both. Men with anxiety/depression were less likely to visit CAM providers compared to women (odds ratio [OR] 0.40, confidence interval [CI] 0.30-0.55), whereas higher educated people were more likely to visit compared to the lowest educated (OR 1.47, CI 1.02-2.13). The use of CAM providers was not associated with the degree of anxiety/depression. For those who used both CAM providers and psychiatric specialist services during the previous year, severe anxiety/depression was strongly associated with use compared to moderate disease (OR 7.53, CI 2.75-20.65). CONCLUSIONS: People with severe anxiety/depression seem to use CAM providers and psychiatric services additionally, whereas those with moderate disease seem to use these services more as alternative pathways. CAM provider treatment might be a substitute for conventional care, particularly in patients with moderate disease.

The Use of eHealth and Provider-Based Health Services by Patients with Diabetes Mellitus: Protocol for a Cross-Sectional Study.

BACKGROUND: The prevalence of diabetes and the use of electronic health (eHealth) resources are increasing. People with diabetes need frequent monitoring and follow-up of health parameters, and eHealth services can be of great significance in this regard. However, little is known about the extent to which different kinds of eHealth tools are used, and how the use of eHealth is associated with the use of provider-based health care services among people with diabetes. OBJECTIVE: The primary objective of this study is to investigate the use of eHealth and its association with the use of provider-based health care services. The secondary objectives include investigating which eHealth services are used (apps, search engines, video services, social media), the relationship between socioeconomic status and the use of different eHealth tools, whether the use of eHealth is discussed in the clinical encounter, and whether such tools might lead to (or prevent) doctor visits and referrals. METHODS: We will conduct cross-sectional studies based on self-reported questionnaire data from the population-based seventh Tromsø Study. Participants will be diabetic patients aged 40 years and older. According to our estimates, approximately 1050 participants will be eligible for inclusion. Data will be analyzed using descriptive statistics, chi-square tests, and univariable and multivariable logistic regressions. RESULTS: The grant proposal for this study was approved by the Northern Norway Regional Health Authority on November 23, 2015 (HST 1306-16). Recruitment of participants for the Tromsø Study started in 2015 and will continue throughout 2016. This particular project started on July 1, 2016. CONCLUSIONS: This project may yield benefits for patients, health care providers, hospitals, and society as a whole. Benefits are related to improved prevention services, health, experience of care services, self-management tools and services, organizational structures, efficiency of specialist care use, allocation of resources, and understanding of how to meet the challenges from the increasing prevalence of diabetes. This project has potential for generalization to other groups with chronic disease.

How do women with chronic fatigue syndrome/myalgic encephalomyelitis rate quality and coordination of healthcare services? A cross-sectional study.

OBJECTIVE: To test the association between self-rated health and self-rated degree of chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME), and CFS/ME patients' assessment of quality of primary care, specialist care and coordination of care. DESIGN: Cross-sectional study. SETTING: Self-reported questionnaire data from women members of The Norwegian ME Association obtained in 2013. PARTICIPANTS: 431 women with CFS/ME aged 16-73 years. MAIN OUTCOME MEASURE: The participants' assessment of quality in primary care, specialist care and in coordination of care (good/very good or poor/very poor). Main explanatory variables: self-rated health and self-rated degree of CFS/ME. RESULTS: Quality of care was rated poor by 60.6% in primary care, by 47.7% in specialist care, and by 71.2% regarding coordination of care. Poorer self-rated health increased the probability of rating quality in primary care poor, particularly among women 40 years and over (OR 2.38, 95% CI 1.63 to 3.49), women with university education (OR 2.57, CI 1.68 to 3.94), and owing to less frequent general practitioner (GP) visits (OR 2.46, CI 1.60 to 3.78). Poorer self-rated health increased the probability of rating quality poor in specialist care (OR 1.38, CI 1.05 to 1.82), but not in coordination of care. A more severe CFS/ME was associated with a higher probability of rating quality in primary care poor (OR 0.61, CI 0.38 to 0.93). Frequent visitors and those with a long GP relationship were less likely to report primary care quality as poor. CONCLUSIONS: A large proportion of women with CFS/ME rated quality of care poor/very poor in primary care, specialist care and in coordination of care. The dissatisfaction was higher for primary care than for specialist care. Overall, poorer self-rated health and a more severe CFS/ME were associated with lower quality scores in primary and specialist care, but not in coordination of care. Healthcare services, as assessed by women with CFS/ME, do have a large potential for improvement.

Factors facilitating patient satisfaction among women with medically unexplained long-term fatigue: A relational perspective.

Bodily conditions that are difficult to identify, explain and treat with the aid of medical knowledge and technology appear to be particularly challenging to medical encounters. Patients are often dissatisfied with the help they receive, and they often experience that their medical needs are not met. To explore factors facilitating patient satisfaction among patients with a medically unexplained condition, we ask: what is the importance of individual versus relational factors in facilitating patient satisfaction in clinical encounters between general practitioners (GPs) and women with medically unexplained long-term fatigue? We approach this question through a statistical analysis of survey data collected from a net sample of 431 women recruited through a patient organisation for people suffering from myalgic encephalomyelitis in 2013. Participants were asked about their experiences with general practitioners in the Norwegian national health system in two different phases: shortly after illness onset, and current regular general practitioner last 12 months. The questions evolved around themes concerning shared understanding and decision making, being taken seriously, being paid due respect and being treated as an equal partner. Through descriptive statistics and multivariable logistic regression analyses, we explored how their experiences were related to individual and relational factors, respectively. Free-text comments from the questionnaires were used while interpreting the results. The analysis illuminates that relational aspects in medical encounters between GPs and ME patients, especially continuity, congruence in doctor-patient views and being seen by a specialist, are important catalysts of patient satisfaction. The probability of being satisfied with the initial investigation was more than six times higher in women who were referred to specialists, compared to those who were not. We conclude that continuity of care and experiences of being in a partnership that operates on a common ground - a shared understanding of the patient's illness - foster patient satisfaction among women with medically unexplained long-term fatigue.