How to create good tnteraction processes for vulnerable children and young people? : normalization process theory as a tool to understand implementation processes

I denne artikkelen anvender vi normaliseringsprosessteori (NPT) som et kvantitativt analyseredskap i evalueringen av implementeringen av en ny intervensjon. Vi viser på denne måten hvordan NPT kan brukes for å analysere og evaluere implementeringen av et nytt samhandlingsforløp for barn og unge. NPT strukturerer både analyse, presentasjon av funn og konklusjoner. Studiens funn er viktige når intervensjonen skal videreutvikles. Ved å bruke NPT som en ramme kan vi systematisk avdekke både hemmende og fremmende faktorer som vil kunne påvirke i hvilken grad det nye samhandlingsforløpet kan etableres som en del av praksis for alle tjenestene som jobber sammen med å skape et samordnet hjelpetilbud for barn og unge. Nøkkelord: utsatte barn og unge, samhandlingsforløp, psykisk helse, implementeringsteori, normaliseringsprosessteoriThe article describes the implementation of a new integrated care pathway in specialist care and in four municipalities, aimed at children and youngsters in need of coordinated care. The purpose of the pathway was to develop better routines for co-operation between families, municipality and specialist care. The approach of the analysis is the Normalization Process Theory. Questionnaire data were collected among leaders and employees. The main results show great willingness for change and commitment towards the integrated care pathway, and the respondents experience a great benefit from using the care pathway. However, there is also a need for critical assessment of which measures can further strengthen the implementation process. Critical conditions are how leaders in the participating organizations can provide for a collective implementation effort through strengthening of competence, guidance and resource allocations, supported by systematic assessments, training and exchange of experience.publishedVersio

Health-related quality of life and intensity-specific physical activity in high-risk adults attending a behavior change service within primary care

Objectives Health-related quality of life (HRQoL) is an important outcome for health interventions, such as physical activity (PA) promotion among high-risk populations. The aim of this study was to investigate levels of PA and HRQoL, and associations between PA and HRQoL, in participants attending a behavior change service within primary care in Norway. Methods Adult participants (≥ 18 years) from 32 Healthy Life Centers (HLCs) in four regions of Norway, who provided valid data on HRQoL (SF-36) and PA (ActiGraph accelerometer) were included (N = 835). HRQoL scores were compared to normative data by independent sample t-tests. Associations between eight dimensions of HRQoL and time spent sedentary (SED), in light PA (LPA) or in moderate to vigorous PA (MVPA) were determined using general linear models adjusted for relevant confounders. Results Nineteen percent of the participants (mean age 50; body mass index 32) met PA recommendations of > 150 min MVPA per week. SF-36 scores were 10 to 28 points lower than the norm (all p < 0.001). Positive associations were found between MVPA and the SF-36 dimensions physical functioning, role physical, general health and vitality, (all p < 0.045). LPA was positively associated with physical functioning, role physical, general health, vitality and role emotional (all p < 0.046). Time spent SED was negatively associated with physical functioning, general health, vitality, social functioning and mental health (all p < 0.030). Conclusions Individuals attending a Norwegian behavior change service within primary care had low PA level and low HRQoL compared to the general population. Our study suggest there is a positive dose-response relationship between PA and HRQoL, and a negative relationship between SED and HRQoL. Furthermore, that specific PA intensities and SED are related to different dimensions of HRQoL

Health-related quality of life and physical activity level after a behavior change program at Norwegian healthy life centers: a 15-month follow-up

Purpose The long-term impact of primary care behavior change programs on health-related quality of life (HRQoL) and physical activity (PA) level is unknown. The aim of this study was to investigate changes in HRQoL and PA among participants after a 3-month behavior change intervention at Norwegian healthy life center (HLCs) and at a 15-month follow-up. Furthermore, we aimed to study associations between changes in PA and HRQoL. Methods We followed 524 adult participants (18–83 years), recruited from 32 HLCs in August 2016–January 2018, who provided data on HRQoL (SF-36) and PA (ActiGraph accelerometers) 12 months after a 3-month behavior change intervention. Changes in HRQoL and PA between baseline, 3-month and 15-month follow-ups, and associations between changes in PA and HRQoL were analyzed by linear mixed models. Results All HRQoL dimensions improved from baseline to 3-month follow-up, and the improvements maintained at 15-month follow-up (mean 3.1–13.1 points, p < 0.001). PA increased from baseline to 3 months (mean 418 steps/day, p < 0.001), but declined from 3 to 15 months (mean − 371 steps/day, p < 0.001). We observed positive associations between changes in PA and HRQoL (0.84–3.23 points per 1000 steps/day, p < 0.023). Conclusions Twelve months after completing a 3-month HLC intervention we found improved HRQoL, but not PA level. Still, there were positive associations between PA and HRQoL over this period, indicating that participants increasing their PA were more likely to improve their HRQoL

Health-related quality of life and physical activity level after a behavior change program at Norwegian healthy life centers: a 15-month follow-up

Purpose The long-term impact of primary care behavior change programs on health-related quality of life (HRQoL) and physical activity (PA) level is unknown. The aim of this study was to investigate changes in HRQoL and PA among participants after a 3-month behavior change intervention at Norwegian healthy life center (HLCs) and at a 15-month follow-up. Furthermore, we aimed to study associations between changes in PA and HRQoL. Methods We followed 524 adult participants (18–83 years), recruited from 32 HLCs in August 2016–January 2018, who provided data on HRQoL (SF-36) and PA (ActiGraph accelerometers) 12 months after a 3-month behavior change intervention. Changes in HRQoL and PA between baseline, 3-month and 15-month follow-ups, and associations between changes in PA and HRQoL were analyzed by linear mixed models. Results All HRQoL dimensions improved from baseline to 3-month follow-up, and the improvements maintained at 15-month follow-up (mean 3.1–13.1 points, p < 0.001). PA increased from baseline to 3 months (mean 418 steps/day, p < 0.001), but declined from 3 to 15 months (mean − 371 steps/day, p < 0.001). We observed positive associations between changes in PA and HRQoL (0.84–3.23 points per 1000 steps/day, p < 0.023). Conclusions Twelve months after completing a 3-month HLC intervention we found improved HRQoL, but not PA level. Still, there were positive associations between PA and HRQoL over this period, indicating that participants increasing their PA were more likely to improve their HRQoL

Health-related quality of life and intensity-specific physical activity in high-risk adults attending a behavior change service within primary care.

ObjectivesHealth-related quality of life (HRQoL) is an important outcome for health interventions, such as physical activity (PA) promotion among high-risk populations. The aim of this study was to investigate levels of PA and HRQoL, and associations between PA and HRQoL, in participants attending a behavior change service within primary care in Norway.MethodsAdult participants (≥ 18 years) from 32 Healthy Life Centers (HLCs) in four regions of Norway, who provided valid data on HRQoL (SF-36) and PA (ActiGraph accelerometer) were included (N = 835). HRQoL scores were compared to normative data by independent sample t-tests. Associations between eight dimensions of HRQoL and time spent sedentary (SED), in light PA (LPA) or in moderate to vigorous PA (MVPA) were determined using general linear models adjusted for relevant confounders.ResultsNineteen percent of the participants (mean age 50; body mass index 32) met PA recommendations of > 150 min MVPA per week. SF-36 scores were 10 to 28 points lower than the norm (all p ConclusionsIndividuals attending a Norwegian behavior change service within primary care had low PA level and low HRQoL compared to the general population. Our study suggest there is a positive dose-response relationship between PA and HRQoL, and a negative relationship between SED and HRQoL. Furthermore, that specific PA intensities and SED are related to different dimensions of HRQoL