Cognitive change in prevalent and incident hearing loss: The Maastricht Aging Study.

INTRODUCTION: Hearing loss (HL) has been associated with cognitive decline and dementia. We examined the temporal association between prevalent and incident HL and cognitive change. METHODS: A total of 1823 participants (24-82 years) from the Maastricht Aging Study (MAAS) were assessed at baseline, 6 and 12 years, including pure-tone audiometry. Linear-mixed models were used to test the association between HL and cognition, adjusted for demographics and other dementia risk factors. RESULTS: Participants with prevalent and incident HL showed a faster decline in verbal memory, information processing speed, and executive function than participants without HL. Decline was steady from baseline to 6 and 12 years for prevalent HL, but time-delayed from 6 to 12 years for incident HL. Having a hearing aid did not change associations. DISCUSSION: Findings support the notion that HL is a risk factor for cognitive decline independent of other dementia risk factors. Onset of HL preceded onset of cognitive decline. HIGHLIGHTS: We examined cognitive change in prevalent and incident hearing loss. Prevalent and incident hearing loss were associated with faster cognitive decline. For prevalent hearing loss, decline was steady from baseline to 6 and 12 years. Onset of hearing loss preceded the onset of cognitive decline. Having a hearing aid did not change the observed associations.

Moving From Problem-Oriented to Goal-Directed Health Records.

Electronic health records (EHRs) have been in place for decades; however, most existing systems were designed in the prevailing disease- and payment-focused care paradigm that often loses sight of the goals, needs, and values of patients and clinicians. The goal-directed health care model was proposed more than 20 years ago, but no design principles have been developed for corresponding electronic record systems. Newly designed EHRs are needed to facilitate health care that is anchored by patient life and health goals. We explore the limitations of current EHRs and propose a blueprint for a new EHR design that may facilitate goal-directed health care. To reflect patient goals as a thread through the care continuum, we propose 5 major system functions for goal-directed health records based on the 8 characteristics of primary health care defined by the Institute of Medicine. We also discuss how new EHR functions could support goal-directed health care and how payment and quality measurement systems will need to be transformed. It may be possible for patient life and health goals to drive health care that is reinforced by a corresponding health record design; however, synchronized shifts must occur in the models of providing, documenting, and paying for health care.

Upgrading physical activity counselling in primary care in the Netherlands.

The systematic development of a counselling protocol in primary care combined with a monitoring and feedback tool to support chronically ill patients to achieve a more active lifestyle. An iterative user-centred design method was used to develop a counselling protocol: the Self-management Support Programme (SSP). The needs and preferences of future users of this protocol were identified by analysing the literature, through qualitative research, and by consulting an expert panel. The counselling protocol is based on the Five A's model. Practice nurses apply motivational interviewing, risk communication and goal setting to support self-management of patients in planning how to achieve a more active lifestyle. The protocol consists of a limited number of behaviour change consultations intertwined with interaction with and responses from the It's LiFe! monitoring and feedback tool. This tool provides feedback on patients' physical activity levels via an app on their smartphone. A summary of these levels is automatically sent to the general practice so that practice nurses can respond to this information. A SSP to stimulate physical activity was defined based on user requirements of care providers and patients, followed by a review by a panel of experts. By following this user-centred approach, the organization of care was carefully taken into account, which has led to a practical and affordable protocol for physical activity counselling combined with mobile technology.

It's LiFe! Mobile and Web-Based Monitoring and Feedback Tool Embedded in Primary Care Increases Physical Activity: A Cluster Randomized Controlled Trial.

BACKGROUND: Physical inactivity is a major public health problem. The It's LiFe! monitoring and feedback tool embedded in the Self-Management Support Program (SSP) is an attempt to stimulate physical activity in people with chronic obstructive pulmonary disease or type 2 diabetes treated in primary care. OBJECTIVE: Our aim was to evaluate whether the SSP combined with the use of the monitoring and feedback tool leads to more physical activity compared to usual care and to evaluate the additional effect of using this tool on top of the SSP. METHODS: This was a three-armed cluster randomised controlled trial. Twenty four family practices were randomly assigned to one of three groups in which participants received the tool + SSP (group 1), the SSP (group 2), or care as usual (group 3). The primary outcome measure was minutes of physical activity per day. The secondary outcomes were general and exercise self-efficacy and quality of life. Outcomes were measured at baseline after the intervention (4-6 months), and 3 months thereafter. RESULTS: The group that received the entire intervention (tool + SSP) showed more physical activity directly after the intervention than Group 3 (mean difference 11.73, 95% CI 6.21-17.25; P<.001), and Group 2 (mean difference 7.86, 95% CI 2.18-13.54; P=.003). Three months after the intervention, this effect was still present and significant (compared to Group 3: mean difference 10.59, 95% CI 4.94-16.25; P<.001; compared to Group 2: mean difference 9.41, 95% CI 3.70-15.11; P<.001). There was no significant difference in effect between Groups 2 and 3 on both time points. There was no interaction effect for disease type. CONCLUSIONS: The combination of counseling with the tool proved an effective way to stimulate physical activity. Counseling without the tool was not effective. Future research about the cost-effectiveness and application under more tailored conditions and in other target groups is recommended. TRIAL REGISTRATION: ClinicalTrials.gov: NCT01867970, https://clinicaltrials.gov/ct2/show/NCT01867970 (archived by WebCite at http://www.webcitation.org/6a2qR5BSr).

Impact of Educational Level on Study Attrition and Evaluation of Web-Based Computer-Tailored Interventions: Results From Seven Randomized Controlled Trials.

BACKGROUND: Web-based computer-tailored interventions have shown to be effective in improving health behavior; however, high dropout attrition is a major issue in these interventions. OBJECTIVE: The aim of this study is to assess whether people with a lower educational level drop out from studies more frequently compared to people with a higher educational level and to what extent this depends on evaluation of these interventions. METHODS: Data from 7 randomized controlled trials of Web-based computer-tailored interventions were used to investigate dropout rates among participants with different educational levels. To be able to compare higher and lower educated participants, intervention evaluation was assessed by pooling data from these studies. Logistic regression analysis was used to assess whether intervention evaluation predicted dropout at follow-up measurements. RESULTS: In 3 studies, we found a higher study dropout attrition rate among participants with a lower educational level, whereas in 2 studies we found that middle educated participants had a higher dropout attrition rate compared to highly educated participants. In 4 studies, no such significant difference was found. Three of 7 studies showed that participants with a lower or middle educational level evaluated the interventions significantly better than highly educated participants ("Alcohol-Everything within the Limit": F2,376=5.97, P=.003; "My Healthy Behavior": F2,359=5.52, P=.004; "Master Your Breath": F2,317=3.17, P=.04). One study found lower intervention evaluation by lower educated participants compared to participants with a middle educational level ("Weight in Balance": F2,37=3.17, P=.05). Low evaluation of the interventions was not a significant predictor of dropout at a later follow-up measurement in any of the studies. CONCLUSIONS: Dropout attrition rates were higher among participants with a lower or middle educational level compared with highly educated participants. Although lower educated participants evaluated the interventions better in approximately half of the studies, evaluation did not predict dropout attrition. Further research is needed to find other explanations for high dropout rates among lower educated participants.

Metadata Correction: Impact of Educational Level on Study Attrition and Evaluation of Web-Based Computer-Tailored Interventions: Results From Seven Randomized Controlled Trials.

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Concurrent validity of the MOX activity monitor compared to the ActiGraph GT3X.

BACKGROUND: The It's LiFe! monitoring and feedback tool embedded in primary care practice is promising in helping people to achieve an active lifestyle. This new tool consists of an activity monitor (the MOX), which is connected to a smartphone application and to a Web service for patients and care providers. The aim of this study was to develop thresholds for the moderate and vigorous activity categories and examine the concurrent validity of the MOX in relation to the ActiGraph (Pensacola, FL) GT3X in healthy participants and chronically ill patients (chronic obstructive pulmonary disease and type 2 diabetes) in a laboratory situation and during daily living. MATERIALS AND METHODS: Participants wore the two activity monitors simultaneously on the lower back. An incremental treadmill protocol was executed by 8 healthy adults and 10 patients. For daily living measurements, 15 healthy adults and 12 patients wore the devices for 6-7 days. Daily living data were corrected for non-wear time, using diary information. RESULTS: On the treadmill there was an excellent correlation between the ActiGraph and MOX counts (mean r=0.99 in healthy participants and mean r=0.98 in patients). Correlation during daily living was moderate (mean r=0.72) in healthy adults and good (mean r=0.82) in patients. Bland-Altman plots showed no perfect agreement between the two devices in minutes per category. However, a histogram of misclassified minutes showed that misclassification occurred around category thresholds. CONCLUSIONS: The MOX is capable of measuring physical activity and can be used in the It's LiFe!

Integrating a tailored e-health self-management application for chronic obstructive pulmonary disease patients into primary care: a pilot study.

BACKGROUND: Changes in reimbursement have been compelling for Dutch primary care practices to apply a disease management approach for patients with chronic obstructive pulmonary disease (COPD). This approach includes individual patient consultations with a practice nurse, who coaches patients in COPD management. The aim of this study was to gauge the feasibility of adding a web-based patient self-management support application, by assessing patients' self-management, patients' health status, the impact on the organization of care, and the level of application use and appreciation. METHODS: The study employed a mixed methods design. Six practice nurses recruited COPD patients during a consultation. The e-Health application included a questionnaire that captured information on demographics, self-management related behaviors (smoking cessation, physical activity and medication adherence) and their determinants, and nurse recommendations. The application provided tailored feedback messages to patients and provided the nurse with reports. Data were collected through questionnaires and medical record abstractions at baseline and one year later. Semi-structured interviews with patients and nurses were conducted. Descriptive statistics were calculated for quantitative data and content analysis was used to analyze the qualitative data. RESULTS: Eleven patients, recruited by three nurses, used the application 1 to 7 times (median 4). Most patients thought that the application supported self-management, but their interest diminished after multiple uses. Impact on patients' health could not be determined due to the small sample size. Nurses reported benefits for the organization of care and made suggestions to optimize the use of the reports. CONCLUSION: Results suggest that it is possible to integrate a web-based COPD self-management application into the current primary care disease management process. The pilot study also revealed opportunities to improve the application and reports, in order to increase technology use and appreciation.

A monitoring and feedback tool embedded in a counselling protocol to increase physical activity of patients with COPD or type 2 diabetes in primary care: study protocol of a three-arm cluster randomised controlled trial.

BACKGROUND: Physical activity is important for a healthy lifestyle. Although physical activity can delay complications and decrease the burden of the disease, the level of activity of patients with chronic obstructive pulmonary disease (COPD) or type 2 Diabetes Mellitus (DM2) is often far from optimal. To stimulate physical activity, a monitoring and feedback tool, consisting of an accelerometer linked to a smart phone and webserver (It's LiFe! tool), and a counselling protocol for practice nurses in primary care was developed (the Self-management Support Program). The main objective of this study is to measure the longitudinal effects of this counselling protocol and the added value of using the tool. METHODS/DESIGN: This three-armed cluster randomised controlled trial with 120 participants with COPD and 120 participants with DM2 (aged 40-70), compares the counselling protocol with and without the use of the tool (group 1 and 2) with usual care (group 3). Recruitment takes place at GP practices in the southern regions of the Netherlands. Randomisation takes place at the practice level. The intended sample (three arms of 8 practices) powers the study to detect a 10-minute difference of moderate and intense physical activity per day between groups 1 and 3. Participants in the intervention groups have to visit the practice nurse 3-4 times for physical activity counselling, in a 4-6-month period. Specific activity goals tailored to the individual patient's preferences and needs will be set. In addition, participants in group 1 will be instructed to use the tool in daily life. The primary outcome, physical activity, will be measured in all groups with a physical activity monitor (PAM). Secondary outcomes are quality of life, general - and exercise - self-efficacy, and health status. Follow-up will take place after 6 and 9 months. Separately, a process evaluation will be conducted to explore reasons for trial non-participation, and the intervention's acceptability for participating patients and nurses. DISCUSSION: Results of this study will give insight into the effects of the It's LiFe! monitoring and feedback tool combined with care from a practice nurse for people with COPD or DM2 on physical activity. TRIAL REGISTRATION: ClinicalTrials.gov: NCT01867970.

Validation of the Updated "LIfestyle for BRAin health" (LIBRA) Index in the English Longitudinal Study of Ageing and Maastricht Aging Study.

Background: The "LIfestyle for BRAin health" (LIBRA) index was recently updated with three new modifiable factors: hearing impairment, social contact, and sleep (LIBRA2), but has not yet been validated. Objective: Comparison of the performance of both LIBRA versions in predicting dementia risk. Methods: Longitudinal data from the English Longitudinal Study of Ageing (ELSA) and the Maastricht Aging Study (MAAS) were used. The weighted LIBRA (11/12 factors available) and LIBRA2 (14/15 factors available) scores were calculated, with higher scores representing an unhealthier lifestyle. Dementia diagnoses were based on self- or informant reported physician diagnosis, an informant-based cognitive screening tool, registry data or test data. Cox-proportional hazards regression was used to investigate the association between LIBRA(2) scores and dementia risk. Model fit and predictive accuracy were determined using the Akaike information criterion and Harrell's C index. Results: Over an average follow-up of 8.3 years in ELSA and 17.9 years in MAAS, 346 (4.6%) and 120 (8.5%) individuals developed dementia, respectively. In ELSA, a one-point increase in LIBRA2 was associated with an 8% (1.06-1.11) higher dementia risk (LIBRA: 13%, 1.09-1.16). In MAAS, a one-point increase in LIBRA2 was associated with a 6% (1.01-1.12) higher dementia risk (LIBRA: 8%, 0.99-1.16). In ELSA, LIBRA (Harrell's C = 0.68) and LIBRA2 (Harrell's C = 0.67) performed similarly. In MAAS, LIBRA2 (Harrell's C = 0.62) performed better compared to LIBRA (Harrell's C = 0.52). Conclusions: LIBRA2 is a better model for identifying individuals at increased dementia risk and for public health initiatives aimed at dementia risk reduction.

A randomised controlled trial testing a web-based, computer-tailored self-management intervention for people with or at risk for chronic obstructive pulmonary disease: a study protocol.

BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) is a major cause of morbidity and mortality. Effective self-management support interventions are needed to improve the health and functional status of people with COPD or at risk for COPD. Computer-tailored technology could be an effective way to provide this support. METHODS/DESIGN: This paper presents the protocol of a randomised controlled trial testing the effectiveness of a web-based, computer-tailored self-management intervention to change health behaviours of people with or at risk for COPD. An intervention group will be compared to a usual care control group, in which the intervention group will receive a web-based, computer-tailored self-management intervention. Participants will be recruited from an online panel and through general practices. Outcomes will be measured at baseline and at 6 months. The primary outcomes will be smoking behaviour, measuring the 7-day point prevalence abstinence and physical activity, measured in minutes. Secondary outcomes will include dyspnoea score, quality of life, stages of change, intention to change behaviour and alternative smoking behaviour measures, including current smoking behaviour, 24-hour point prevalence abstinence, prolonged abstinence, continued abstinence and number of quit attempts. DISCUSSION: To the best of our knowledge, this will be the first randomised controlled trial to test the effectiveness of a web-based, computer-tailored self-management intervention for people with or at risk for COPD. The results will be important to explore the possible benefits of computer-tailored interventions for the self-management of people with or at risk for COPD and potentially other chronic health conditions. DUTCH TRIAL REGISTER: NTR3421.

Early detection of COPD in general practice: patient or practice managed? A randomised controlled trial of two strategies in different socioeconomic environments.

BACKGROUND: The burden of chronic obstructive pulmonary disease (COPD) is high. Health benefits can be gained in primary care by early detection and preventive measures. AIMS: To compare the effectiveness of two strategies for population-based early detection of COPD, taking into account different socioeconomic status (SES) settings. METHODS: Practices were randomised on strategy and stratified on SES setting. The Respiratory Health Screening Questionnaire (RHSQ) was distributed to all participants. In the practice-managed condition, the practice was responsible for the whole procedure, while in the patient-managed condition, patients were responsible for calculating their RHSQ risk score and applying for a spirometry test. The main outcome measure was the rate of COPD diagnoses after screening. RESULTS: More new COPD patients were detected in the practice-managed condition (36%) than in the patient-managed condition (18%). In low SES practices, more high-risk patients were found (16%) than in moderate-to-high SES practices (9%). Recalculated for a standard Dutch practice (2,350 patients), the yield would be 8.9 new COPD diagnoses, which is a 20% increase of known cases. CONCLUSIONS: The practice-managed variant of this screening procedure shows a substantial yield of new COPD diagnoses for both low and moderate-to-high SES practices.

Early detection of COPD in general practice: implementation, workload and socioeconomic status. A mixed methods observational study.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is underdiagnosed in general practice. Our aim was to implement a population-based approach for the early detection of COPD and to assess its impact on primary care workload and costs, and the influence of socioeconomic status (SES). METHODS: An observational study with mixed methods was performed in 10 Dutch general practices of either low or moderate to high SES. The Respiratory Health Screening Questionnaire was posted during a three-month period to all persons aged 45, 55, and 65 years (one age group per month). The practices calculated the risk, and patients at high risk of COPD were invited for spirometry at the practice. The general practitioner used the spirometric results and a consultation to establish a clinical diagnosis. Qualitative and quantitative data on workload, cost, and barriers were evaluated. RESULTS: Ten practices returned 293 (35.3%) COPD risk tests for the three age groups. Participants from low SES practices responded better than those from moderate to high SES practices (40.8% vs. 30.5%). In practices with low SES 17.9% of the tests indicated high risk compared with 16.1% in practices with moderate to high SES. Nine patients (23%) were newly diagnosed with COPD. The healthcare providers' extra workload averaged 18.5 hours during the three months for one standard practice. The average cost of this survey programme (three age groups in three months) was €520 for low SES practices and €398 for moderate to high SES practices. All healthcare providers affirmed that the extra workload in this survey model is acceptable and feasible when finances are compensated. CONCLUSIONS: Early detection of COPD is feasible in daily life primary care. In moderate to high SES practices the costs of detecting COPD were less than in low SES practices.

Sleep Quality and Cognitive Decline Across the Adult Age Range: Findings from the Maastricht Aging Study (MAAS).

BACKGROUND: Sleep disturbances have been linked with cognitive decline and a higher risk of dementia. However, there is a lack of studies with sufficient follow-up duration, a detailed neuropsychological assessment and adequate control of main confounders. OBJECTIVE: To investigate the relation between self-reported sleep quality and cognitive decline over 12 years in cognitively healthy individuals from the general population. METHODS: We used data from the Maastricht Aging Study (MAAS), a Dutch population-based prospective cohort study of 1,823 community-dwelling adults aged 24 to 82 years at baseline. Cognitive performance was measured at baseline, 6 and 12 years on verbal memory, executive functions, and information processing speed. Sleep quality was assessed at baseline using the sleep subscale score of the 90-item Symptom Checklist (SCL-90). Additional modifiable dementia risk factors were summarized in the LIfestyle for BRAin health (LIBRA) risk score. Weighted linear mixed models tested the association between continuous scores and tertiles of subjective sleep quality and change in cognitive performances over time. Models were adjusted for age, gender, educational level, LIBRA, and use of hypnotic (sleep) medication. RESULTS: Worse sleep quality was associated with faster decline in processing speed. At older age (≥65 years), it was also associated with faster decline in verbal memory. Association were independent of other modifiable dementia risk factors and use of hypnotic medication. Directionally similar but non-significant associations were found between worse sleep quality and executive functions. CONCLUSIONS: In this population-based study across the adult age range, poor self-reported sleep was associated with accelerated cognitive decline.

Diagnosis and Care Use for People with Young-Onset Dementia in Primary Care in the Netherlands.

BACKGROUND: Timely diagnosis and adequate care is important for persons with young-onset dementia (YOD) and their caregivers, due to the high impact of the disease. Initiating care can be difficult for the general practitioner (GP) and other healthcare professionals. OBJECTIVE: Provide insight in the care use of persons with YOD and identify factors influencing care use. METHODS: A primary care register was used for this study. Information on the care use of persons with YOD was extracted from the GPs written notes. Information entailed time until start of care use, reasons and factors influencing the GP's decision, and reasons and factors influencing actual care use were included. Analyses included quantitative explorative descriptive analyses, and qualitative manifest content analyses. RESULTS: 75 persons with YOD were included in this study. The main reason for GPs to refer for diagnosis was concerns of caregivers. After diagnosis, 72% of the persons were assigned a case manager, 42.7% received day care, and 44% were admitted to a long-term care facility. A higher percentage of persons without a case manager was admitted to a long-term care facility (64%) compared to the persons with a case manager (36%). Reasons for not initiating care were reluctancy of the persons with YOD or their caregivers, the person deceased, or because the GP did not refer for care. CONCLUSION: Care use differed between persons due to different needs and reasons. Although most persons with YOD receive care in the years after diagnosis, there are still factors that could be improved.

Get moving: the practice nurse is watching you! A case study of the user-centred design process and testing of a web-based coaching system to stimulate the physical activity of chronically ill patients in primary care.

BACKGROUND: The system informs the nurse about levels of physical activity in the daily living of patients who are using the It's LiFe! tool. The tool consists of an accelerometer that transfers data to a smartphone, which is subsequently connected to a server. Nurses can monitor patients' physical activity via a secured website. Physical activity levels are measured in minutes per day compared with pre-set activity goals, which are set in dialogue with the patient. OBJECTIVE: To examine user requirements and to evaluate the usability of the secured website, in order to increase the probability of effective use by nurses. METHOD: The needs and preferences of nurses towards the system were determined through qualitative research. The usability of the system was evaluated in a laboratory situation and during a three-month pilot study. RESULTS: A monitoring and feedback system to support patients in their intention to be more active was developed in a systematic way. Automatically generated feedback messages were defined based on the requirements of nurses. The results from the usability tests gave insights into how to improve the structure and quality of the information provided. Nurses were positive about the features and ease of use of the system, but made critical remarks about the time that its use entails. CONCLUSION: The system supports nurses when performing physical activity counselling in a structured and profound way. The opportunity to support self-management of patients in between regular consultations needs further investigation, and adaptation into the clinical workflow of the nurses.

Pre-Diagnostic Symptoms of Young-Onset Dementia in the General Practice up to Five Years Before Diagnosis.

BACKGROUND: Young-onset dementia (YOD) has many underlying etiologies, leading to a large heterogeneity in first symptoms. This makes it difficult for general practitioners (GPs) to recognize YOD. OBJECTIVE: Identify early symptoms that are more common in the pre-diagnostic phase of YOD. METHODS: We performed a case-control study nested in a primary-care registry on 89 cases and 162 matched controls, where we compared symptoms of people with YOD up to 5 years before diagnosis to their matched control group without YOD. The variables included in this study were International Classification of Primary Care codes and symptoms extracted from written GP notes and categorized in groups. We used Generalized Equation Estimation to analyze symptom's time-trajectories and logistic regression and ROC-curves to analyze differences in number of symptom categories reported. RESULTS: Cognitive symptoms were more common in people with YOD 5 years before diagnosis, affective symptoms 4 years before diagnosis, social symptoms 3 years, behavioral symptoms 2 years, and daily functioning disturbances 1 year before diagnosis. The ROC-curve suggested that reporting two or more symptom categories at the GP gave the best trade-off between sensitivity (85%) and specificity (77%), for the highest percentage of correctly diagnosed persons. CONCLUSION: This study showed people with YOD present differently than people without YOD. However, it may still be difficult for GPs to use these symptom categories to distinguish people with YOD, since the symptoms also occur in people with other diseases. A combination of reported symptom categories increases the probability of an underlying cause of YOD.

Changes in the Diagnosis of Stroke and Cardiovascular Conditions in Primary Care During the First 2 COVID-19 Waves in the Netherlands.

BACKGROUND AND OBJECTIVES: Although there is evidence of disruption in acute cerebrovascular and cardiovascular care during the coronavirus disease 2019 (COVID-19) pandemic, its downstream effect in primary care is less clear. We investigated how the pandemic affected utilization of cerebrovascular and cardiovascular care in general practices (GPs) and determined changes in GP-recorded diagnoses of selected cerebrovascular and cardiovascular outcomes. METHODS: From electronic health records of 166,929 primary care patients aged 30 or over within the Rotterdam region, the Netherlands, we extracted the number of consultations related to cerebrovascular and cardiovascular care, and first diagnoses of selected cerebrovascular and cardiovascular risk factors (hypertension, diabetes, lipid disorders), conditions, and events (angina, atrial fibrillation, TIA, myocardial infarction, stroke). We quantified changes in those outcomes during the first COVID-19 wave (March-May 2020) and thereafter (June-December 2020) by comparing them to the same period in 2016-2019. We also estimated the number of potentially missed diagnoses for each outcome. RESULTS: The number of GP consultations related to cerebrovascular and cardiovascular care declined by 38% (0.62, 95% confidence interval 0.56-0.68) during the first wave, as compared to expected counts based on prepandemic levels. Substantial declines in the number of new diagnoses were observed for cerebrovascular events: 37% for TIA (0.63, 0.41-0.96) and 29% for stroke (0.71, 0.59-0.84), while no significant changes were observed for cardiovascular events (myocardial infarction [0.91, 0.74-1.14], angina [0.77, 0.48-1.25]). The counts across individual diagnoses recovered following June 2020, but the number of GP consultations related to cerebrovascular and cardiovascular care remained lower than expected throughout the June to December period (0.93, 0.88-0.98). DISCUSSION: While new diagnoses of acute cardiovascular events remained stable during the COVID-19 pandemic, diagnoses of cerebrovascular events declined substantially compared to prepandemic levels, possibly due to incorrect perception of risk by patients. These findings emphasize the need to improve symptom recognition of cerebrovascular events among the general public and to encourage urgent presentation despite any physical distancing measures.

Implementations of Evidence-Based eHealth Interventions for Caregivers of People With Dementia in Municipality Contexts (Myinlife and Partner in Balance): Evaluation Study.

BACKGROUND: Very few evidence-based eHealth interventions for caregivers of people with dementia are implemented into practice. Municipalities are one promising context in which to implement these interventions due to their available policy and innovation incentives regarding (dementia) caregiving and prevention. In this study, two evidence-based eHealth interventions for caregivers of people with dementia (Partner in Balance and Myinlife) were implemented in 8 municipalities in the Euregion Meuse-Rhine. Partner in Balance is a blended care, 8-week, self-management intervention intervention designed to aid caregivers of people with dementia in adapting to their new roles that is delivered through coaches in participating health care organizations who are trained to use it to offer online support to their clients. Myinlife is an eHealth/mHealth intervention integrated into the Dutch Alzheimer's Association website and available from the App Store or Google Play, designed to help caregivers of people with dementia use their social network to better organize care and share positive (caregiving) experiences. OBJECTIVE: This study's objectives were to evaluate the success of the implementation of Myinlife and Partner in Balance and investigate determinants of their successful implementation in the municipality context. METHODS: This study collected eHealth use data, Partner in Balance coach evaluation questionnaires, and information on implementation determinants. This was done by conducting interviews with the municipality officials based on the measurement instrument for determinants of implementation (MIDI). These data from multiple sources and perspectives were integrated and analyzed to form a total picture of the determinants (barriers and facilitators to implementation in the municipality context). RESULTS: The municipality implementation of Partner in Balance and Myinlife showed varying levels of success. In the end, 3 municipalities planned to continue the implementation of Partner in Balance, while none planned to continue the implementation of Myinlife. The 2 Partner in Balance municipalities that did not consider the implementation to be successful viewed the implementation as an external project. For Myinlife, it was clear that more face-to-face contact was needed to engage the implementing municipality and target groups. Successful implementations were linked to implementer self-efficacy and sense of ownership, which seemed to be absent in unsuccessful implementations. CONCLUSIONS: The experiences of implementing these interventions suggested that this implementation context was feasible regarding the required budget and infrastructure. The need to foster sense of ownership and self-efficacy in implementers will be integrated into future implementation protocols as part of standard implementation materials for municipalities and organizations implementing Myinlife and Partner in Balance.

Business Models of eHealth Interventions to Support Informal Caregivers of People With Dementia in the Netherlands: Analysis of Case Studies.

BACKGROUND: In academic research contexts, eHealth interventions for caregivers of people with dementia have shown ample evidence of effectiveness. However, they are rarely implemented in practice, and much can be learned from their counterparts (commercial, governmental, or other origins) that are already being used in practice. OBJECTIVE: This study aims to examine a sample of case studies of eHealth interventions to support informal caregivers of people with dementia that are currently used in the Netherlands; to investigate what strategies are used to ensure the desirability, feasibility, viability, and sustainability of the interventions; and to apply the lessons learned from this practical, commercial implementation perspective to academically developed eHealth interventions for caregivers of people with dementia. METHODS: In step 1, experts (N=483) in the fields of dementia and eHealth were contacted and asked to recommend interventions that met the following criteria: delivered via the internet; suitable for informal caregivers of people with dementia; accessible in the Netherlands, either in Dutch or in English; and used in practice. The contacted experts were academics working on dementia and psychosocial innovations, industry professionals from eHealth software companies, clinicians, patient organizations, and people with dementia and their caregivers. In step 2, contact persons from the suggested eHealth interventions participated in a semistructured telephone interview. The results were analyzed using a multiple case study methodology. RESULTS: In total, the response rate was 7.5% (36/483), and 21 eHealth interventions for caregivers of people with dementia were recommended. Furthermore, 43% (9/21) of the interventions met all 4 criteria and were included in the sample for the case study analysis. Of these 9 interventions, 4 were found to have developed sustainable business models and 5 were implemented in a more exploratory manner and relied on research grants to varying extents, although some had also developed preliminary business models. CONCLUSIONS: These findings suggest that the desirability, feasibility, and viability of eHealth interventions for caregivers of people with dementia are linked to their integration into larger structures, their ownership and support of content internally, their development of information and communication technology services externally, and their offer of fixed, low pricing. The origin of the case studies was also important, as eHealth interventions that had originated in an academic research context less reliably found their way to sustainable implementation. In addition, careful selection of digital transformation strategies, more intersectoral cooperation, and more funding for implementation and business modeling research are recommended to help future developers bring eHealth interventions for caregivers of people with dementia into practice.