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BACKGROUND: The Normalization Process Theory (NPT) is increasingly used for evaluating and understanding implementation processes of complex care interventions. One key tool for applying the NPT in research and practice is the NoMAD questionnaire, which offers a structured approach to examination of the four constructs that according to the NPT are central in implementation and normalisation processes. We aimed to evaluate the psychometric properties of the Swedish version S-NoMAD.

METHODS: Secondary analysis was performed on pooled S-NoMAD survey data from six implementation studies in different health and social care contexts. The NPT factor structure was tested by confirmatory factor analysis (CFA). Internal construct reliability was tested using Cronbach's alpha. Validity was confirmed by assessing the fit of the CFA using the fit measures Comparative Fit Index, Tucker-Lewis Index, root mean square error of approximation and standardised root mean square residual. Pearson correlations amongst the latent construct and general questions about the intervention were calculated.

RESULTS: The estimation results of the CFA indicate that the four-factor model implied by the NPT fits the data reasonably well. The factor loadings are of good sizes and the fit indices do not imply a mis-specified model. A good internal construct validity, indicated by a good model fit to the NPT four-construct model and acceptable to good internal reliability, was shown. External validity was also demonstrated.

CONCLUSIONS: The CFA results indicate that the S-NoMAD has good psychometric properties for capturing perceptions of people involved in various Swedish implementation studies conducted in both health and social care contexts, demonstrating its general applicability. They show that the S-NoMAD, unlike the majority of instruments for evaluation of implementation processes, is not context- and intervention-specific. The findings highlight the utility of the S-NoMAD and show that it meets some important criteria for pragmatic measures. Further studies are warranted on different interventions implemented in diverse contexts regarding the meaning of the magnitude of the NoMAD scores in order to clarify its potential value as a tool for assessment of implementation strategies and on psychometric properties beyond construct validity and internal construct reliability, for example on test-retest reliability and longitudinal studies focusing on responsiveness.

The aim of this study was to explore if turn duration and the performance of step parameters during segments of the Timed Up and Go (TUG) test with and without cognitive dual-tasking (TUGdt) can discriminate between individuals with different cognitive ability. Participants were divided into groups (dementia = 57, mild cognitive impairment = 126, subjective cognitive impairment = 71, and controls = 50) and performed TUG and TUGdt (naming animals and reciting months in reverse order, respectively). Turn duration and forward and return walk (step parameters) were compared between adjacent groups for all conditions. Results were analyzed with logistic regression models, presented with standardized odds ratios, and generally showed longer turn duration during TUGdt for groups with lower levels of cognitive ability, whereas a small tendency was observed for step length/body height. While these results need to be confirmed, they may indicate the potential of assessing TUG segments, particularly turn duration, to identify risk of cognitive impairment.

Background: It is of utmost importance to identify older adults at risk of cognitive impairment at the earliest possible stage. Previous research supports the potential of investigating step parameters and turn duration during Timed Up and Go (TUG) during single and dual-task (TUGdt) conditions to detect subtle impairment. The aim of this study was therefore to investigate the test-retest reliability and measurement error of novel outcomes related to TUG and two TUGdt tests, TUGdt-NA (naming animals) and TUGdt-MB (reciting months in reverse order), in older adults with perceived memory impairment.

Methods: Thirty-four participants (18 women, mean age 76) were included and assessed with TUG, TUGdt-NA and TUGdt-MB on two different occasions, 5–10 days apart. Tests were video recorded for data extraction of spatiotemporal step parameters and turn duration. Reliability of motor and cognitive outcomes were analyzed with intraclass correlations (ICC2.1), standard errors of measurement and minimal detectable change (MDC). The proportional measurement error was presented with MDC%.

Results: The results showed very good reliability (ICC2.1 ≥ 0.85) regarding total completion times, although the measurement error and proportional measurement error (MDC%) was higher during TUGdt conditions than TUG. The reliability of cognitive outcomes during TUGdt favored TUGdt-MB (ICC2.1 ≥ 0.77, MDC% ≤39.8). Step length was the step parameter with highest reliability (ICC2.1 ≥ 0.86) and lowest proportional measurement error (MDC% ≤21.4) across conditions, whereas turn duration showed good reliability during TUG and TUGdt-MB (ICC2.1 ≥ 0.74, MDC%≤38.9).

Conclusion: The results support the potential of including TUG and TUGdt outcomes in cognitive risk evaluations among older adults.

Trial Registration Number: Uppsala-Dalarna Dementia and Gait Project | ClinicalTrials.gov, identifier NCT05893524.

OBJECTIVES: Experiences of daughter caregivers are underrepresented in the broader caregiving literature, with studies commonly focusing on spousal caregivers. We aimed to explore challenges experienced by daughter caregivers, reporting varying severity of depressive symptoms, of a parent with dementia in Sweden. This study is situated within a wider research program to inform the development of psychological support for this underserved caregiver group.

METHOD: Following a semi-structured topic guide, we interviewed 23 daughter caregivers. We used reflexive thematic analysis to analyze the interviews. We did not compare and contrast challenges expressed by daughter caregivers experiencing different levels of depression severity; however, symptom severity is reported to contextualize findings.

RESULTS: We generated one overarching theme, Changing Roles and Expectations Over Time, and four themes: Caregiver Role - Expectations; Puzzle of Life - Balancing Roles; Relationship with the Parent - Reciprocity, and Anticipating the Inevitable - Loss and Grief. Daughter caregivers reported challenges balancing multiple roles, difficulties prioritizing their own well-being, relationship difficulties with their parent, and anticipatory grief, with challenges changing over the dementia trajectory.

CONCLUSION: Future research should explore support needs across specific phases of the dementia trajectory to inform the development of tailored psychological support.

BACKGROUND: Public contribution in research during the intervention development phase can help inform the design of relevant, acceptable, and effective interventions. However, the experiences and impact of public contribution activities are seldom reported, particularly in the intervention development phase. We integrated public contribution activities throughout a series of studies to inform the development and adaptation of a psychological intervention for people with dementia and depression. Aims were to: (1) explore the experience, process, and perceived impact of involving informal caregivers as public contributors; (2) explore how to involve people with dementia and male caregivers in future public contribution activities. METHOD: A Public Advisory Group (PAG) consisting of wives and daughters (n = 4) of people with dementia was established to help: (1) make sense and interpret findings from the studies to inform the development and adaptation of the psychological intervention; and (2) co-design the intervention. Public contribution activities were recorded using impact logs (n = 9). Based on impact logs, recommendations were extracted and percentages of those implemented were calculated. Upon completion of the intervention development phase, semi-structured interviews were held with public contributors (n = 4) and researchers (n = 3) to explore their experiences and perceived impact of public contribution activities. Interviews were analyzed using manifest content analysis. RESULT: Public contributors made 158 recommendations across nine PAG meetings. In total, 76% of recommendations were implemented by the research team. Analysis of interviews generated three main categories: Perceived impacts; Interactions and processes; and Future challenges and opportunities. Interviews suggested that public contribution activities had a positive impact on the research e.g., by enhancing intervention acceptability and relevancy, and on researchers and public contributors themselves e.g., by gaining new knowledge and skills. Public contributors provided valuable suggestions to facilitate the involvement of people with dementia and male caregivers in future public contribution activities. CONCLUSION: We hope findings: (1) contribute to strengthening the evidence base on the impact of public contribution; and (2) offer insights in how to work effectively in partnership with public contributors. Future work should explore how to meaningfully involve people with dementia and male caregivers as public contributors. © 2025 The Alzheimer’s Association. Alzheimer’s & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer’s Association.

INTRODUCTION: Public contribution is increasingly prioritised by research institutions, funding bodies, and policymakers globally. However, the evidence base for the impact of public contribution remains limited. Researchers and public contributors' experiences of such activities are also rarely reported. We worked alongside a Public Advisory Group (PAG) consisting of informal caregivers of people with dementia during a series of studies to inform the development and adaptation of a guided low-intensity behavioural activation intervention for people with dementia (INVOLVERA). The overall aim of the current study was to explore the experience, process, and impact of involving caregivers of people with dementia as public contributors during the intervention development phase of INVOLVERA.

METHODS: Public contribution activities were recorded using impact logs from PAG meetings, from which public contributors' suggestions for the intervention were extracted and categorised, and the implementation rate calculated. Semi-structured interviews were conducted with public contributors (n = 4) and researchers (n = 3), and analysed using manifest content analysis.

RESULTS: Public contributors made 158 suggestions across nine PAG meetings, with 76% of these implemented by the researchers. Analysis of interviews generated three categories: Perceived impacts, Interactions and facilitators, and Future challenges and opportunities. Interviews suggested public contribution activities positively impacted the research (e.g., improving intervention acceptability) and those involved (e.g., new knowledge and skills). Public contributors provided valuable recommendations for involving people with dementia and male caregivers in future activities.

CONCLUSIONS: Findings illustrate a positive impact of public contribution activities on the research and those involved. This underscores the important role of public contribution during the development of complex interventions and further emphasises the need for comprehensive reporting on the impact of such activities. We believe this study strengthens the evidence base for public contribution and offers practical insights into fostering effective partnerships with public contributors.

PUBLIC CONTRIBUTION: A PAG consisting of wives and daughters (n = 4) of people with dementia worked alongside the researchers throughout the intervention development phase of the project. Contributions included (1) sense-making and interpreting results from a series of intervention development studies, (2) co-designing the intervention, and (3) disseminating findings, including co-writing the current paper.

People with dementia are living longer in the community and reliance on informal caregivers is increasing. Few studies have focused on the experiences of adult-daughter caregivers (daughter caregivers), who may have increased risk of depression and lack of support compared with spousal caregivers. We aimed to explore the experiences of accessing and receiving formal and informal support among daughter caregivers of people living with dementia in Sweden. We conducted semi-structured interviews with 23 daughter caregivers. A topic guide was used to explore experiences of accessing and receiving formal and informal support in their caregiving role. We analyzed the interviews using reflexive thematic analysis. We generated two themes: Types of support, and Mismatched support. The first theme, with subthemes Sharing experiences, Professional support, and Getting some relief, captured the caregiver support context with different types of support accessed and received by daughter caregivers, with peer support and informational support identified as important components of caregiver support. The second theme, with subthemes Lack of tailoring to daughter caregivers' needs and Difficulties navigating support, captured how daughter caregivers perceived existing support to be inadequate to meet their specific needs and the complex structure of available support limited their opportunities to access support. Daughter caregivers experience a mismatch between the type of support accessed and received and their specific support needs. Support better tailored to the needs and situation of daughter caregivers of people with dementia in Sweden is required. The potential of utilizing peer support for caregivers warrants further research.

BACKGROUND: Identifying cognitive impairment at an early stage is important to enable preventive treatment and lifestyle changes. As gait deviations precede cognitive impairment, the aim of this study was to investigate if step parameters during different Timed Up and Go (TUG) conditions could discriminate between people with different cognitive ability.

METHODS: Participants (N = 304) were divided into the following groups: (1) controls, n = 50, mean age:73, 44% women; (2) Subjective cognitive Impairment (SCI), n = 71, mean age:67, 45% women; (3) Mild Cognitive Impairment (MCI), n = 126, mean age: 73, 42% women; and (4) dementia disorders, n = 57, mean age: 78, 51% women. Participants conducted TUG and two motor-cognitive TUG-conditions: TUG while naming animals (TUGdt-NA) and reciting months in reverse order (TUGdt-MB). Tests were video recorded for data extraction of valid spatiotemporal parameters: step length, step width, step duration, single step duration and double step duration. Step length was investigated with the step length/body height ratio (step length divided by body height). Logistic regression models (adjusted for age, sex and education) investigated associations between step parameters and dichotomous variables of groups adjacent in cognitive ability: dementia disorders vs. MCI, MCI vs. SCI, and SCI vs. controls. Results were presented as standardized odds ratios (sORs), with 95% confidence intervals (CI⁹⁵) and p-values (significance level: p < 0.05). The areas under the Receiver Operating Characteristic curves were presented for the step parameters/conditions with the highest sORs and, where relevant, optimal cutoff values were calculated.

RESULTS: Step length showed greatest overall ability to significantly discriminate between adjacent groups (sOR ≤ . 67, CI⁹⁵: .45-.99, p = ≤ . 047) during all group comparisons/conditions except three. The highest sOR for step-length was obtained when discriminating between SCI vs controls during TUGdt-MB (sOR = .51, CI⁹⁵:.29- .87, p = .014), whereby the area under the curve was calculated (c-statistics = .700). The optimal cut-off indicated a step length of less than 32.9% (CI⁹⁵ = 22.1-43.0) of body height to identify SCI compared with controls.

CONCLUSIONS: The results indicate that step length may be important to assess during TUG, for discrimination between groups with different cognitive ability; and that the presented cut-off has potential to aid early detection of cognitive impairment.

TRIAL REGISTRATION NUMBER: NCT05893524 (retrospectively registered 08/06/23).

BACKGROUND: While people with dementia commonly experience depression, access to psychological treatment is low. A guided low-intensity behavioral activation intervention may represent a solution. Considering implementation barriers and facilitators is important during intervention development to increase the future implementation potential of an intervention. However, involving patients and informal caregivers in identifying implementation barriers and facilitators during intervention development is rarely done. Involving patients and informal caregivers may be particularly important for low-intensity interventions, given the active role they are expected to adopt for successful intervention implementation, e.g., they are seen as active agents as opposed to passive recipients. Study aims were to: (1) develop an understanding of the existing healthcare and community support in the Swedish context for people with dementia and informal caregivers, and (2) identify people with dementia and informal caregivers' perceived barriers and facilitators to intervention uptake informed by Normalization Process Theory (NPT).

METHODS: Following an interview guide informed by NPT, semi-structured interviews were held with people with dementia (n = 8) and informal caregivers (n = 19). Interview transcripts were analyzed using the NPT coding manual, with an inductive approach adopted for data related to the core theoretical NPT constructs, but not represented within its sub-constructs.

RESULTS: Nine deductive and three inductive categories related to three core NPT constructs (Coherence, Cognitive Participation, Collective Action) were identified. Barriers included: (1) extensive intervention material, (2) dementia symptoms, and (3) lacking acceptance of the dementia. Facilitators included: (1) intervention having potential to fill a large psychological treatment gap, (2) understanding and agreeing upon the intervention purpose and potential benefits, (3) intervention guide having professional experience in dementia, and (4) a trusting face-to-face relationship with the intervention guide.

CONCLUSIONS: Implementation barriers and facilitators were identified alongside evidence-based implementation strategies to be adopted in the future. Additional barriers and facilitators were identified to those recognized by dementia healthcare and community interest-holders, emphasizing the importance of recognizing the potential diversity of perspectives among different groups within the healthcare triad. By integrating these diverse perspectives early in the intervention development, we aim to develop an intervention optimized for implementation within real-world settings, meeting global health priorities to support people with dementia and their families live well with dementia.

TRIAL REGISTRATION: Not applicable.

Accurate and fast extraction of step parameters from video recordings of gait allows for richer information to be obtained from clinical tests such as Timed Up and Go. Current deep-learning methods are promising, but lack in accuracy for many clinical use cases. Extracting step parameters will often depend on extracted landmarks (keypoints) on the feet. We hypothesize that such keypoints can be determined with an accuracy relevant for clinical practice from video recordings by combining an existing general-purpose pose estimation method (OpenPose) with custom convolutional neural networks (convnets) specifically trained to identify keypoints on the heel. The combined method finds keypoints on the posterior and lateral aspects of the heel of the foot in side-view and frontal-view images from which step length and step width can be determined for calibrated cameras. Six different candidate convnets were evaluated, combining three different standard architectures as networks for feature extraction (backbone), and with two different networks for predicting keypoints on the heel (head networks). Using transfer learning, the backbone networks were pre-trained on the ImageNet dataset, and the combined networks (backbone + head) were fine-tuned on data from 184 trials of older, unimpaired adults. The data was recorded at three different locations and consisted of 193 k side-view images and 110 k frontal-view images. We evaluated the six different models using the absolute distance on the floor between predicted keypoints and manually labelled keypoints. For the best-performing convnet, the median error was 0.55 cm and the 75% quartile was below 1.26 cm using data from the side-view camera. The predictions are overall accurate, but show some outliers. The results indicate potential for future clinical use by automating a key step in marker-less gait parameter extraction.