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Background and objectives Residential care facilities (RCFs) strive to enhance autonomy for people with dementia and to enhance informal care provision, although this is difficult. This study explored how RCF staff can enhance autonomy and improve informal care by looking at the influence of interactions (contact and approachability between residents, staff members and informal caregivers) and the physical environment, including the use of technologies. Research design and methods A realist evaluation multiple-case study was conducted using document analyses, eight semi-structured interviews with staff members and relatives and 56 hours of observations of residents across two RCFs aiming to provide person-centred care. Realist logic of analysis was performed, involving Context-Mechanism-Outcome configurations. Findings The behaviour, attitudes and interactions of staff members with residents and informal caregivers appeared to contribute to the autonomy of people with dementia and enhance informal care provision. The physical environment of the RCFs and the use of technologies were less relevant to enhancing autonomy and informal care provision, although they can support staff members in providing person-centred care in daily practice. Discussion and implications The findings add to those of other studies regarding the importance of interaction between residents, staff members and informal caregivers. The findings provide insight for other RCFs on how successfully to enhance autonomy for their residents and to improve informal care provision, as well as, more broadly, how to implement person-centred care.

Background and Objectives To protect residents with dementia from harm, nursing homes (NHs) often have closed-door policies. However, current research suggests a positive influence of freedom of movement, that is, the right to (decide to) independently move from one place to another, on the health of NH residents with dementia. This systematic review aims to collate, summarize, and synthesize the scientific evidence published to date on the influence of freedom of movement on health among NH residents with dementia. Research Design and Methods Multiple databases were searched up until March 2021. Peer-reviewed qualitative, quantitative, and mixed methods studies were included. Health was operationalized using the Positive Health framework, encompassing 6 dimensions: bodily functions, mental functions and perception, existential dimension, quality of life, social and societal participation, and daily functioning. The quality of included studies was assessed using the Mixed Methods Appraisal Tool. Results Sixteen studies were included of good to excellent quality. Compared to closed NHs, freedom of movement in semiopen and open NHs may have a positive influence on bodily functions, mental functions and perception, quality of life, and social and societal participation. The influence on daily functioning and on the existential dimension remains unclear. Discussion and Implications Freedom of movement of NH residents with dementia is often studied as part of a larger context in which other factors may contribute to health benefits. More research is therefore needed to unravel the underlying mechanisms of the positive influence of freedom of movement on health.

Aim:To determine whether cytisine was at least as effective as varenicline in supporting smoking abstinence for ≥ 6 months in New Zealand indigenous Māori or whānau (extended-family) of Māori, given the high smoking prevalence in this population.Design:Pragmatic, open-label, randomized, community-based non-inferiority trial.Setting:Bay of Plenty, Tokoroa and Lakes District Health Board regions of New Zealand.Participants:Adult daily smokers who identified as Māori or whānau of Māori, were motivated to quit in the next 2 weeks, were aged ≥ 18 years and were eligible for subsidized varenicline. Recruitment used multi-media advertising.InterventionsA total of 679 people were randomly assigned (1 : 1) to receive a prescription for 12 weeks of cytisine or varenicline, plus low-intensity cessation behavioural support from the prescribing doctor and community stop-smoking services or a research assistant. Day 5 of treatment was the designated quit date.Measurements:The primary outcome was carbon monoxide-verified continuous abstinence at 6 months, analysed as intention-to-treat (with multiple imputation for missing data). Secondary outcomes measured at 1, 3, 6 and 12 months post-quit date included: self-reported continuous abstinence, 7-day point prevalence abstinence, cigarettes per day, time to (re)lapse, adverse events, treatment adherence/compliance and acceptability, nicotine withdrawal/urge to smoke and health-care utilization/health-related quality of life.Findings:Verified continuous abstinence rates at 6 months post-quit date were 12.1% (41 of 337) for cytisine versus 7.9% (27 of 342) for varenicline [risk difference 4.29%, 95% confidence interval (CI) = –0.22 to 8.79; relative risk 1.55; 95% CI = 0.97–2.46]. Sensitivity analyses confirmed that the findings were robust. Self-reported adverse events over 6 months occurred significantly more frequently in the varenicline group (cytisine: 313 events in 111 participants; varenicline: 509 events in 138 participants, incidence rate ratio 0.56, 95% CI = 0.49–0.65, P < 0.001) compared with the cytisine group. Common adverse events were headache, nausea and difficulty sleeping.Conclusion:A randomized controlled trial found that cytisine was at least as effective as varenicline at supporting smoking abstinence in New Zealand indigenous Māori or whānau (extended-family) of Māori, with significantly fewer adverse events.

Summary Background Combination nicotine replacement therapy shows additive cessation benefits. We aimed to find out the effectiveness of combining nicotine patches with an e-cigarette (with and without nicotine) on six-month smoking abstinence. Methods We did a pragmatic, three-arm, parallel-group trial in New Zealand in adult smokers who were e-cigarette naive and motivated to quit smoking. Participants were recruited from the general population using national media advertising. Participants were randomly assigned (1:4:4), with the use of stratified block randomisation, to receive 14 weeks (2 weeks before the agreed quit date) of 21 mg, 24h nicotine patches, patches plus an 18 mg/L nicotine e-cigarette, or patches plus a nicotine-free e-cigarette. We advised participants to use one patch daily, with e-cigarette use as and when necessary or desired. Participants and researchers were masked to e-liquid nicotine content. We offered 6 weeks of telephone-delivered behavioural support. The primary outcome was exhaled carbon monoxide (CO)-verified continuous smoking abstinence 6 months after the agreed quit date. Primary analysis was by intention to treat, with sensitivity analysis by per protocol, treatment adherence, varying CO cutoffs, and complete case analysis. This paper presents the main analyses and is registered with ClinicalTrials.gov, NCT02521662. Findings Between March 17, 2016 and Nov 30, 2017, 1124 people were assigned to nicotine patches (patches only group, n=125), patches plus a nicotine e-cigarette (patches plus nicotine e-cigarette group, n=500), or patches plus a nicotine-free e-cigarette (patches plus nicotine-free e-cigarette group, n=499). 62 (50%) of 125 participants in the patches only group withdrew or were lost to follow-up by 6 months compared with 161 (32%) of 500 in the patches plus nicotine e-cigarette group and 162 (33%) of 499 in the patches plus nicotine-free e-cigarette group. 35 (7%) participants in the patches plus nicotine e-cigarette group had CO-verified continuous abstinence at 6 months compared with 20 (4%) in the patches plus nicotine-free e-cigarette group (risk difference [RD] 2·99 [95% CI 0·17–5·81]), and three (2%) people in the patches only group (RD 4·60 [1·11–8·09]). 18 serious adverse events occurred in 16 people in the patches plus nicotine e-cigarette group compared with 27 events in 22 people in the patches plus nicotine-free e-cigarette group and four events in three people in the patches only group. In the patches plus nicotine e-cigarette group, two life-threatening serious adverse events were reported (two separate heart attacks in the one participant). In the patches plus nicotine-free e-cigarette group, one death occurred (accidental drug overdose) and one life-threatening serious adverse event (heart attack). No significant between-group differences were noted for serious adverse events, and none were treatment-related. Interpretation Combining reduced-harm nicotine products, such as nicotine patches with a nicotine e-cigarette, can lead to a modest improvement in smoking cessation over and above that obtained from using patches plus a nicotine-free e-cigarette (or patches alone), with no indication of any serious harm in the short-term. Future e-cigarette trials should focus on their use alone or in combination with usual smoking cessation support, given issues with differential loss to follow-up and withdrawal if a usual care group is used as a comparator. Funding Health Research Council of New Zealand.

Background and objective: Practically trained (student) caregivers (further: caregivers) make up the majority of care staff in nursing homes (NHs). To keep up with the fast-changing healthcare environment and ensure a high quality of care, it is important to know how to stimulate continuous work-based learning (WBL) among this group. The purpose of the study was to systematically study the scientific literature published to date on (1) how caregivers learn in NHs and (2) what facilitates or impedes their learning.Methods: A scoping review was carried out, systematically searching six scientific databases. A total of 35 studies published from January 2009 to February 2021 were included. Study characteristics, learning mechanisms, facilitators, and barriers to learning were extracted and synthesized.Results: None of the studies specifically focused on how caregivers learn. Yet, we identified various learning mechanisms, and found that learning by theory or supervision was most frequently engaged in. Most learning mechanisms used among the groups in the included studies were planned and formal and developed and initiated by others out of the context. Three main themes were identified among the facilitators and barriers of WBL: individual learning, collective learning, and resources for learning. An interdependency between (sub)themes was found.Conclusions: The way caregivers in NHs learn is understudied. Moreover, both their informal learning and the support they receive to be(come) active learners has been overlooked. As WBL provides caregivers with opportunities to learn within a real-life setting, we suggest more research on informal learning mechanisms.

Light therapy for older persons with dementia is often administered with light boxes, even though indoor ambient light may more comfortably support the diverse lighting needs of this population. Our objective is to investigate the influence of indoor daylight and lighting on the health of older adults with dementia living in long-term care facilities. A systematic literature search was performed within PubMed, CINAHL, PsycINFO, Web of Science and Scopus databases. The included articles (n=37) were published from 1991 to 2020. These articles researched the influence of existing and changed indoor light conditions on health and resulted in seven categories of health outcomes. Although no conclusive evidence was found to support the ability of indoor light to decrease challenging behaviors or improve circadian rhythms, findings of two studies indicate that exposure to (very) cool light of moderate intensity diminished agitation. Promising effects of indoor light were to reduce depressive symptoms and facilitate spatial orientation. Furthermore, there were indications that indoor light improved one’s quality of life. Despite interventions with dynamic lighting having yielded little evidence of its efficacy, its potential has been insufficiently researched among this study population. This review provides a clear and comprehensive description of the impact of diverse indoor light conditions on the health of older adults with dementia living in long-term care facilities. Variation was seen in terms of research methods, (the description of) light conditions, and participants’ characteristics (types and severity of dementia), thus confounding the reliability of the findings. The authors recommend further research to corroborate the beneficial effects of indoor light on depression and to clarify its role in supporting everyday activities of this population. An implication for practice in long-term care facilities is raising the awareness of the increased lighting needs of aged residents. Original article at: https://doi.org/10.2147/CIA.S297865

The obesity rate in New Zealand is one of the highest worldwide (31%), with highest rates among Māori (47%) and Pasifika (67%). Codesign was used to develop a culturally tailored, behavior change mHealth intervention for Māori and Pasifika in New Zealand. The purpose of this article is to provide an overview of the codesign methods and processes and describe how these were used to inform and build a theory-driven approach to the selection of behavioral determinants and change techniques. The codesign approach in this study was based on a partnership between Māori and Pasifika partners and an academic research team. This involved working with communities on opportunity identification, elucidation of needs and desires, knowledge generation, envisaging the mHealth tool, and prototype testing. Models of Māori and Pasifika holistic well-being and health promotion were the basis for identifying key content modules and were applied to relevant determinants of behavior change and theoretically based behavior change techniques from the Theoretical Domains Framework and Behavior Change Taxonomy, respectively. Three key content modules were identified: physical activity, family/whānau [extended family], and healthy eating. Other important themes included mental well-being/stress, connecting, motivation/support, and health literacy. Relevant behavioral determinants were selected, and 17 change techniques were mapped to these determinants. Community partners established that a smartphone app was the optimal vehicle for the intervention. Both Māori and Pasifika versions of the app were developed to ensure features and functionalities were culturally tailored and appealing to users. Codesign enabled and empowered users to tailor the intervention to their cultural needs. By using codesign and applying both ethnic-specific and Western theoretical frameworks of health and behavior change, the mHealth intervention is both evidence based and culturally tailored.

© 2018, © The Author(s) 2018. Obesity rates in Aotearoa/New Zealand continue to rise, and there is an urgent need for effective interventions. However, interventions designed for the general population tend to be less effective for Māori communities and may contribute to increased health inequities. We describe the integration of co-design and kaupapa Māori research approaches to design a mobile-phone delivered (mHealth) healthy lifestyle app that supports the health aspirations of Māori communities. The co-design approach empowered our communities to take an active role in the research. They described a holistic vision of health centred on family well-being and maintaining connections to people and place. Our resultant prototype app, OL@-OR@, includes content that would not have been readily envisaged by academic researchers used to adapting international research on behaviour change techniques to develop health interventions. We argue that this research approach should be considered best practice for developing health interventions targeting Māori communities in future.

© 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Background: The OL@-OR@ mobile health programme was co-designed with Māori and Pasifika communities in New Zealand, to support healthy lifestyle behaviours. We aimed to determine whether use of the programme improved adherence to health-related guidelines among Māori and Pasifika communities in New Zealand compared with a control group on a waiting list for the programme. Methods: The OL@-OR@ trial was a 12-week, two-arm, cluster-randomised controlled trial. A cluster was defined as any distinct location or setting in New Zealand where people with shared interests or contexts congregated, such as churches, sports clubs, and community groups. Members of a cluster were eligible to participate if they were aged 18 years or older, had regular access to a mobile device or computer, and had regular internet access. Clusters of Māori and of Pasifika (separately) were randomly assigned (1:1) to either the intervention or control condition. The intervention group received the OL@-OR@ mHealth programme (smartphone app and website). The control group received a control version of the app that only collected baseline and outcome data. The primary outcome was self-reported adherence to health-related guidelines, which were measured with a composite health behaviour score (of physical activity, smoking, alcohol intake, and fruit and vegetable intake) at 12 weeks. The secondary outcomes were self-reported adherence to health-related behaviour guidelines at 4 weeks; self-reported bodyweight at 12 weeks; and holistic health and wellbeing status at 12 weeks, in all enrolled individuals in eligible clusters; and user engagement with the app, in individuals allocated to the intervention. Adverse events were not collected. This study is registered with the Australian New Zealand Clinical Trials Registry, ACTRN12617001484336. Findings: Between Jan 24 and Aug 14, 2018, we enrolled 337 Māori participants from 19 clusters and 389 Pasifika participants from 18 clusters (n=726 participants) in the intervention group and 320 Māori participants from 15 clusters and 405 Pasifika participants from 17 clusters (n=725 participants) in the control group. Of these participants, 227 (67%) Māori participants and 347 (89%) Pasifika participants (n=574 participants) in the intervention group and 281 (88%) Māori participants and 369 (91%) Pasifika participants (n=650 participants) in the control group completed the 12-week follow-up and were included in the final analysis. Relative to baseline, adherence to health-related behaviour guidelines increased at 12 weeks in both groups (315 [43%] of 726 participants at baseline to 329 [57%] of 574 participants in the intervention group; 331 [46%] of 725 participants to 369 [57%] of 650 participants in the control group); however, there was no significant difference between intervention and control groups in adherence at 12 weeks (odds ratio [OR] 1·13; 95% CI 0·84–1·52; p=0·42). Furthermore, the proportion of participants adhering to guidelines on physical activity (351 [61%] of 574 intervention group participants vs 407 [63%] of 650 control group participants; OR 1·03, 95% CI 0·73–1·45; p=0·88), smoking (434 [76%] participants vs 501 [77%] participants; 1·12, 0·67–1·87; p=0·66), alcohol consumption (518 [90%] participants vs 596 [92%] participants; 0·73, 0·37–1·44; p=0·36), and fruit and vegetable intake (194 [34%] participants vs 196 [30%] participants; 1·08, 0·79–1·49; p=0·64) did not differ between groups. We found no significant differences between the intervention and control groups in any secondary outcome. 147 (26%) intervention group participants engaged with the OL@-OR@ programme (ie, set at least one behaviour change goal online). Interpretation: The OL@-OR@ mobile health programme did not improve adherence to health-related behaviour guidelines amongst Māori and Pasifika individuals. Funding: Healthier Lives He Oranga Hauora National Science Challenge.

Long-term care for older adults is in transition. Organizations offering long-term care for older adults are expected to provide person-centered care (PCC) in a complex context, with older adults aging in place and participating in society for as long as possible, staff shortages and the slow adoption of technological solutions. To address these challenges, these organizations increasingly use scientific knowledge to evaluate and innovate long-term care. This paper describes how co-creation, in the sense of close, intensive, and equivalent collaboration between science, care practice, and education, is a key factor in the success of improving long-term care for older adults. Such co-creation is central in the Academic Collaborative Center (ACC) Older Adults of Tilburg University. In this ACC, Tilburg University has joined forces with ten organizations that provide care for older adults and CZ zorgkantoor to create both scientific knowledge and societal impact in order to improve the quality of person-centered care for older adults. In the Netherlands, a “zorgkantoor” arranges long-term (residential) care on behalf of the national government. A zorgkantoor makes agreements on cost and quality with care providers and helps people that are in need of care to decide what the best possible option in their situation is. The CZ zorgkantoor arranges the long-term (residential) care in the south and southwest of the Netherlands. This paper describes how we create scientific knowledge to contribute to the knowledge base of PCC for older adults by conducting social scientific research in which the perspectives of older adults are central. Subsequently, we show how we create societal impact by facilitating and stimulating the use of our scientific knowledge in daily care practice. In the closing section, our ambitions for the future are discussed.

Background and aims Cytisine, a nicotinic acetylcholine receptor partial agonist (like varenicline) found in some plants, is a low-cost, effective smoking cessation medication that may appeal to Māori [the indigenous people of New Zealand (NZ)]. The RAUORA trial aims to determine the effectiveness, safety and cost-effectiveness of cytisine (Tabex® ) versus varenicline (Champix® ) for smoking cessation in Māori and the whānau (extended family) of Māori. Design Pragmatic, community-based, open-label randomized non-inferiority trial. Setting Lakes District Health Board region, NZ. Participants Daily smokers (n = 2140) who self-identify as Māori or whānau of Māori, and are: aged ≥ 18 years, motivated to quit smoking in the next 2 weeks, eligible for subsidized varenicline, able to provide verbal consent and have daily access to a mobile phone/internet. Recruitment uses multi-media advertising. Intervention and comparator Participants are randomized (1 : 1 ratio) to receive a prescription for 12 weeks of cytisine tablets [following the manufacturer's dosing regimen for 25 days, then one 1.5-mg tablet every 6 hours (two per day) until 12 weeks] or varenicline tablets (following the manufacturer's dosing regimen). Both groups receive brief stop-smoking advice from the prescribing doctor and withdrawal-orientated behavioural support via community-based stop-smoking counselling services (frequency, duration and mode of delivery tailored for participants) or a research assistant (six weekly 10-15-minute calls). Participants are advised to reduce their smoking over the first 4 days of treatment, with day 5 as their designated quit-date. Measurements The primary outcome is carbon monoxide-verified continuous abstinence at 6 months post-quit date. Secondary outcomes at 1, 3, 6 and 12 months post-quit date include: self-reported continuous abstinence, 7-day point prevalence abstinence, cigarettes per day, time to (re)lapse, adverse events, treatment adherence/compliance, treatment acceptability, nicotine withdrawal/urge to smoke and health-care utilization/health-related quality of life. Comments This trial compares cytisine and varenicline when used by the indigenous people of NZ and their extended family for smoking cessation.

When fathers live away from their children, taking an active paternal role may become challenging and can add to paternal psychological distress. In a large ( N = 3,980) diverse cohort, we found that nonresident fathers are more likely to be psychologically distressed than resident fathers (27.4% vs. 15.2%) and more likely to report wanting a change in the level of involvement they have in their child’s life (76.6% vs. 58.1%). Nonresident fathers were more likely to suffer economic hardship, unemployment, poor health, and have a depression and anxiety history ( ps < .001). However, the factors associated with increased psychological distress were largely the same across resident and nonresident fathers. The biggest stressors were managing work alongside family responsibilities and commitments, arguments with the partner, prior history of depression, and economic hardship or deprivation. Fathers’ actual levels of involvement and desired levels of involvement with their child did not predict their psychological distress.

In developed countries, exposure to wood or coal smoke occurs predominantly from neighbourhood emissions arising from household heating. The effect of this exposure on child health is not well characterized. Within a birth cohort study in New Zealand we assessed healthcare events associated with exposure to neighbourhood smoke from household heating. Our outcome measure was non-accidental presentations to hospital emergency departments (ED) before age three years. We matched small area-level census information with the geocoded home locations to measure the density of household heating with wood or coal in the neighbourhood and applied a time-weighted average exposure method to account for residential mobility. We then used hierarchical multiple logistic regression to assess the independence of associations of this exposure with ED presentations adjusted for gender, ethnicity, birth weight, breastfeeding, immunizations, number of co-habiting smokers, wood or coal heating at home, bedroom mold, household- and area-level deprivation and rurality. The adjusted odds ratio of having a non-accidental ED visit was 1.07 [95%CI: 1.03–1.12] per wood or coal heating household per hectare. We found a linear dose-response relationship (p-value for trend = 0.024) between the quartiles of exposure (1st as reference) and the same outcome (odds ratio in 2nd to 4th quartiles: 1.14 [0.95–1.37], 1.28 [1.06–1.54], 1.32 [1.09–1.60]). Exposure to neighbourhoods with higher density of wood or coal smoke-producing households is associated with an increased odds of ED visits during early childhood. Policies that reduce smoke pollution from domestic heating by as little as one household per hectare using solid fuel burners could improve child health.

Contains fulltext : 215600.pdf (Publisher’s version ) (Open Access) BACKGROUND: Patient reported outcomes (PROs) provide information on a patient's health status coming directly from the patient. Measuring PROs with patient reported outcome measures (PROMs) has gained wide interest in clinical practice for individual patient care, as well as in quality improvement, and for providing transparency of outcomes to stakeholders through public reporting. However, current knowledge of selecting and implementing PROMs for these purposes is scattered, and not readily available for clinicians and quality managers in healthcare organizations. The objective of this study is to develop a framework with tools to support the systematic selection, implementation and evaluation of PROs and PROMs in individual patient care, for quality improvement and public reporting. METHODS: We developed the framework in a national project in the Netherlands following a user-centered design. The development process of the framework contained five iterative components: (a) identification of existing tools, (b) identification of user requirements and designing steps for selection and implementation of PROs and PROMs, (c) discussing a prototype of the framework during a national workshop, (d) developing a web version, (e) pre-testing of the framework. A total of 40 users with different perspectives (clinicians, patient representatives, quality managers, purchasers, researchers) have been consulted. RESULTS: The final framework is presented as the PROM-cycle that consists of eight steps in four phases: (1) goal setting, (2) selecting PROs and PROMs, (3) developing and testing of quality indicator(s), (4) implementing and evaluating the PROM(s) and indicator(s). Users emphasized that the first step is the key element in which the why, for whom and setting of the PROM has to be defined. This information is decisive for the following steps. For each step the PROM-cycle provides guidance and tools, with instruments, checklists, methods, handbooks, and standards supporting the process. CONCLUSION: We developed a framework to support the selection and implementation of PROs and PROMs. Each step provides guidance and tools to support the process. The PROM-cycle and its tools are publicly available and can be used by clinicians, quality managers, patient representatives and other experts involved in using PROMS. Through periodic evaluation and updates, tools will be added for national and international use of the PROM-cycle.

BackgroundThe use of patient‐reported outcomes measures (PROMs), such as quality of life or symptoms like pain or fatigue, is increasingly embraced within patient‐centred care and shared decision making.ObjectivesTo investigate: (a) how patients and health professionals think about using PROMs during routine medical consultations; (b) for which purpose(s), patients and health professionals want to use PROMs during those consultations; and (c) how patients interpret PROMs information presented in various formats. People with Parkinson's disease and their health professionals served as case example.MethodsWe performed semi‐structured interviews with patients (N = 13) and professionals (N = 7 neurologists; N = 7 physiotherapists). We also used a survey in which patients (N = 115) were shown six figures displaying different information types. Presentation formats of this information varied (line/bar graphs). Interpretation by patients, perceived usefulness of information, attitude towards using information during routine medical consultations and (hypothetical) decisions were assessed.FindingsPatients and professionals were generally positive about using PROMs during medical consultations. Professionals stressed the opportunity to monitor changes in individual PROMs over time. Patients were primarily positive about aggregated PROMs to make treatment decisions. This information was also most often interpreted correctly, especially when presented through a line graph (90.1% correct). Professionals thought patients should take the initiative in discussing PROMs, whereas patients thought professionals should do so.Conclusion/DiscussionWhen used in routine medical consultations, PROMs seem to have potential to support shared decision making and facilitate patient‐professional communication. However, training seems needed for both patients and professionals to facilitate actual discussion and proper interpretation.

IntroductionEvidence indicates e-cigarettes can help people quit smoking; however, more confirmatory trials are needed. To date, no trials have evaluated the effectiveness and safety of combining nicotine patches with e-cigarettes (with and without nicotine) for smoking cessation.Methods and analysisThis study is a pragmatic, three-arm, community-based, single-blind, randomised trial undertaken in New Zealand. Eligible participants are daily/non-daily smokers, aged ≥18 years, naive e-cigarette users and motivated to quit smoking in the next 2 weeks. Participants (n=1809), recruited using multi-media advertising, are randomised to 14 weeks of (1) 21 mg nicotine patches (n=201); (2) 21 mg nicotine patches+18 mg/mL nicotine e-cigarette (n=804); or (3) 21 mg nicotine patches+nicotine free e-cigarette (n=804). Participants receive weekly withdrawal-oriented behavioural support calls for 6 weeks post-randomisation. The primary outcome is self-reported biochemically verified continuous abstinence (CA) at 6 months post quit-date. The primary comparison is nicotine patch + nicotine e-cigarette versus nicotine patch + nicotine free e-cigarette, and the secondary comparison is nicotine patch versus nicotine patch +nicotine e-cigarette (90% power, p=0.05, to detect an absolute difference in 6 month CA rates of 8% and 15% respectively). Secondary outcomes, collected by phone interview at quit date, then 1, 3, 6 and 12 months post-quit date, include self-reported CA, 7 day point prevalence abstinence, cigarettes per day (if smoking, or when smoking for non-daily smokers), time to relapse (if returned to smoking), belief in ability to quit, use of other cessation support, side effects/serious adverse events, treatment compliance, seeking additional support around e-cigarette use, daily use of both e-cigarettes and cigarettes, use of treatment past 14 weeks, views on treatment and recommendation to others, weight and cost-per-quitter.Ethics and disseminationThe Northern A Health and Disability Ethics Committee approved the trial. Findings will be disseminated through publication, conference/meeting presentations, and media.Trial registration numberNCT02521662; Pre-results.

Patienten en patientvertegenwoordigers worden steeds meer betrokken bij de verbetering van de kwaliteit van de zorg. Patienten willen vaak een grotere rol spelen in hun eigen zorgproces en samen met hun zorgverleners beslissingen nemen. Daarnaast wordt transparantie van de zorg een steeds belangrijker thema om de kwaliteit van zorg inzichtelijk te maken. Patienten kunnen op basis van die informatie keuzes maken. Om tot betrouwbare informatie te komen over de kwaliteit en uitkomsten van geleverde zorg, moet deze eerst gemeten worden. Een van de manieren om de kwaliteit van zorg te meten is door patienten zelf. Met behulp van patient-gerapporteerde uitkomsten geeft de patient zijn of haar mening en waardering over de eigen gezondheid. Vragenlijsten om deze uitkomsten te meten worden PROMs genoemd: Patient Reported Outcome Measures. Zij meten bijvoorbeeld fysiek, mentaal, sociaal functioneren of andere aspecten van kwaliteit van leven.

BACKGROUND New Zealand urgently requires scalable, effective, behavior change programs to support healthy lifestyles that are tailored to the needs and lived contexts of Māori and Pasifika communities. OBJECTIVE The primary objective of this study is to determine the effects of a co-designed, culturally tailored, lifestyle support mHealth tool (the OL@-OR@ mobile phone app and website) on key risk factors and behaviors associated with an increased risk of noncommunicable disease (diet, physical activity, smoking, and alcohol consumption) compared with a control condition. METHODS A 12-week, community-based, two-arm, cluster-randomized controlled trial will be conducted across New Zealand from January to December 2018. Participants (target N=1280; 64 clusters: 32 Māori, 32 Pasifika; 32 clusters per arm; 20 participants per cluster) will be individuals aged ≥18 years who identify with either Māori or Pasifika ethnicity, live in New Zealand, are interested in improving their health and wellbeing or making lifestyle changes, and have regular access to a mobile phone, tablet, laptop, or computer and to the internet. Clusters will be identified by community coordinators and randomly assigned (1:1 ratio) to either the full OL@-OR@ tool or a control version of the app (data collection only plus a weekly notification), stratified by geographic location (Auckland or Waikato) for Pasifika clusters and by region (rural, urban, or provincial) for Māori clusters. All participants will provide self-reported data at baseline and at 4- and 12-weeks postrandomization. The primary outcome is adherence to healthy lifestyle behaviors measured using a self-reported composite health behavior score at 12 weeks that assesses smoking behavior, fruit and vegetable intake, alcohol intake, and physical activity. Secondary outcomes include self-reported body weight, holistic health and wellbeing status, medication use, and recorded engagement with the OL@-OR@ tool. RESULTS Trial recruitment opened in January 2018 and will close in July 2018. Trial findings are expected to be available early in 2019. CONCLUSIONS Currently, there are no scalable, evidence-based tools to support Māori or Pasifika individuals who want to improve their eating habits, lose weight, or be more active. This wait-list controlled, cluster-randomized trial will assess the effectiveness of a co-designed, culturally tailored mHealth tool in supporting healthy lifestyles. CLINICALTRIAL Australia New Zealand Clinical Trials Register ACTRN12617001484336; http://www.ANZCTR.org.au/ACTRN12617001484336.aspx (Archived by WebCite at http://www.webcitation.org/71DX9BsJb) REGISTERED REPORT IDENTIFIER RR1-10.2196/10789

Background: New Zealand urgently requires scalable, effective, behavior change programs to support healthy lifestyles that are tailored to the needs and lived contexts of Māori and Pasifika communities. Objective: The primary objective of this study is to determine the effects of a co-designed, culturally tailored, lifestyle support mHealth tool (the OL@-OR@ mobile phone app and website) on key risk factors and behaviors associated with an increased risk of noncommunicable disease (diet, physical activity, smoking, and alcohol consumption) compared with a control condition. Methods: A 12-week, community-based, two-arm, cluster-randomized controlled trial will be conducted across New Zealand from January to December 2018. Participants (target N=1280; 64 clusters: 32 Māori, 32 Pasifika; 32 clusters per arm; 20 participants per cluster) will be individuals aged ≥18 years who identify with either Māori or Pasifika ethnicity, live in New Zealand, are interested in improving their health and wellbeing or making lifestyle changes, and have regular access to a mobile phone, tablet, laptop, or computer and to the internet. Clusters will be identified by community coordinators and randomly assigned (1:1 ratio) to either the full OL@-OR@ tool or a control version of the app (data collection only plus a weekly notification), stratified by geographic location (Auckland or Waikato) for Pasifika clusters and by region (rural, urban, or provincial) for Māori clusters. All participants will provide self-reported data at baseline and at 4- and 12-weeks postrandomization. The primary outcome is adherence to healthy lifestyle behaviors measured using a self-reported composite health behavior score at 12 weeks that assesses smoking behavior, fruit and vegetable intake, alcohol intake, and physical activity. Secondary outcomes include self-reported body weight, holistic health and wellbeing status, medication use, and recorded engagement with the OL@-OR@ tool. Results: Trial recruitment opened in January 2018 and will close in July 2018. Trial findings are expected to be available early in 2019. Conclusions: Currently, there are no scalable, evidence-based tools to support Māori or Pasifika individuals who want to improve their eating habits, lose weight, or be more active. This wait-list controlled, cluster-randomized trial will assess the effectiveness of a co-designed, culturally tailored mHealth tool in supporting healthy lifestyles. Trial Registration: Australia New Zealand Clinical Trials Register ACTRN12617001484336; http://www.ANZCTR.org.au/ACTRN12617001484336.aspx (Archived by WebCite at http://www.webcitation.org/71DX9BsJb) Registered Report Identifier: RR1-10.2196/10789

Objective We examined smoker and non-smoker self-identities among smokers visiting their general practitioner (GP) for other reasons than smoking cessation counselling. We determined whether identity impacted on patients’ appreciation of GP-initiated conversations about smoking and quit advice, and subsequent quit attempts, and examined the role of gender. Methods Secondary analyses of a cluster-randomised controlled trial in which baseline and 12-month follow-up data were collected among 527 daily (n = 450) and non-daily smokers (n = 77). Results Participants identified more with smoking than non-smoking. Participants with stronger non-smoker self-identities were more often female, appreciated the conversation about smoking more, were more likely to receive quit-advice and to have attempted to quit at 12-month follow-up. Participants with stronger smoker self-identities were also more often female, and appreciated the conversation more. Men with stronger non-smoker self-identities were more often asked about smoking and advised to quit, and appreciated the conversation more than women. Conclusion Non-smoker identity was more important for receiving quit-advice, appreciation, and quit attempts than smoker identity. Future research needs to unravel why female smokers appreciated the conversation less than male smokers. Practice implications We suggest to incorporate an identity-component in smoking cessation interventions. GPs should increase their focus on female patients who smoke.

Background Smoking rates are higher in New Zealand (NZ) adults with mental illnesses and alcohol and other drug (AOD) addictions, compared to the overall population. Quit attempts using “gold standard” smoking cessation treatments often fail in people with these conditions, so more flexible treatment regimens that adapt to a person’s responsiveness to treatment are worth investigating. The STATUS trial aims to evaluate the effectiveness and safety of combining varenicline with nicotine e-cigarettes for smoking cessation among varenicline non-responders in treatment for mental health illnesses and/or AOD addictions. Methods This is a pragmatic two-arm, open-label, randomised trial. Participants will be daily smokers using mental health and/or addiction services in Auckland, aged ≥18 years, motivated to quit smoking, and eligible to access varenicline through the NZ special authority process. After 2 weeks of using varenicline plus behavioural support, participants who have not reduced their daily smoking by ≥50% will be randomised (1:1) to either 10 weeks of continued varenicline use or 10 weeks of varenicline plus an 18 mg/mL nicotine e-cigarette. All participants will receive weekly withdrawal-orientated behavioural support calls for 6 weeks post-randomisation. The primary outcome is self-reported biochemically-verified (exhaled carbon monoxide) continuous abstinence at 24 weeks post-randomisation. Secondary outcomes, measured at six, 12 and 24 weeks post-randomisation include: self-reported continuous abstinence, 7-day point prevalence abstinence, smoking reduction, time to relapse, cross-over, use of other smoking cessation support, serious adverse events, treatment adherence, compliance, acceptability, dual use, continuation of treatment use, mental illness symptoms and AOD use, health-related quality of life, and cost-analysis. A sample size of 338 will confer 80% power (p = 0.05) to detect a 15% absolute difference between the varenicline alone and varenicline plus e-cigarette groups. Discussion People with mental illness and/or AOD addictions are just as motivated as others to quit smoking, but are less likely to succeed. Adapting smoking cessation medication after a lack of responsiveness in the first 2 weeks of initial treatment in this priority population by adding a nicotine e-cigarette may be one way to increase long-term quit rates. Trial Registration Australian NZ Clinical Trial Registry: ACTRN12616001355460 (29 September 2016). Electronic supplementary material The online version of this article (10.1186/s12889-018-5351-7) contains supplementary material, which is available to authorized users.

The implementation of intersectoral community approaches targeting childhood obesity (IACO) is considered challenging. To help overcome these challenges, an overview of the evidence to date is needed. We searched four databases to identify papers that reported on the determinants of successful implementation of IACOs, resulting in the inclusion of 25 studies. We appraised study quality with the Crowe Critical Appraisal Tool and the Quality Framework; reported implementation outcome indicators were reviewed via narrative synthesis. Quality of included studies varied. The most frequently reported indicators of implementation success were fidelity and coverage. Determinants related to the social-political context and the organization were most often cited as influencing implementation, in particular, 'collaboration between community partners', 'the availability of (human) resources' and 'time available for implementation'. The association between determinants and implementation variability was never explicated. We conclude that although some insights into the effective implementation of IACOs are present, more research is needed. Emphasis should be placed on elucidating the relationship between determinants and implementation success. Research should further focus on developing a 'golden standard' for evaluating and reporting on implementation research. These actions will improve the comparison of study

Importance Antenatal and postnatal depression are known to be common and associated with poor outcomes for women and their children. There is little evidence on depression symptoms among men during the perinatal period. Objective To identify characteristics associated with depression symptoms among men whose partners were pregnant and subsequently gave birth. Design, Setting, and Participants A longitudinal cohort study provided data from a demographically diverse sample of 3523 New Zealand men who completed interviews during their partner’s pregnancy and 9 months after the birth of their child. Participants were drawn from a cohort whose partners were pregnant women with a due date between April 25, 2009, and March 25, 2010, who were enrolled in the Growing Up in New Zealand study. Data analysis was conducted from September 1, 2015, to January 8, 2016. Main Outcomes and Measures Depression symptoms were measured using the Edinburgh Postnatal Depression Scale and the 9-item Patient Health Questionnaire; elevated depression symptoms were defined as scores higher than 12 and 9, respectively. Results The mean (SD) age of the participants at the antenatal interview was 33.20 (6.25) years (range, 16-63 years). Elevated antenatal paternal depression symptoms affected 82 fathers (2.3%) and were associated with perceived stress (odds ratio [OR], 1.38; 95% CI, 1.30-1.47) and fair to poor health during their partner’s pregnancy (OR, 2.06; 95% CI, 1.18-3.61). Elevated postnatal paternal depression symptoms affected 153 (4.3%) of fathers and were associated with perceived stress in pregnancy (OR, 1.12; 95% CI, 1.08-1.17), no longer being in a relationship with the mother 9 months after childbirth (OR, 6.36; 95% CI, 2.28-17.78), having fair to poor health at 9 months (OR, 3.29; 95% CI, 2.10-5.16), being unemployed at 9 months (OR, 1.86; 95% CI, 1.11-3.10), and a history of depression (OR, 2.84; 95% CI, 1.69-4.78). Conclusions and Relevance Expectant fathers were at risk of depression symptoms if they felt stressed or were in poor health. Rates of elevated depression symptoms were higher during the postpartum period and were associated with adverse social and relationship factors. Identifying fathers most at risk of depressive symptoms and when best to target interventions (antenatal or postnatal) may be beneficial to men and their families.

National guidelines for smoking cessation in primary care can be effective in improving clinical practice. This study assessed which parties are involved in the development of such guidelines worldwide, which national guidelines address primary care, what recommendations are made for primary care settings, and how these recommendations correlate with each other and with current evidence. We identified national guidelines using an online resource. Only the most recent version of a guideline was included. If an English version was not available, we requested a translation or summary of the recommendations from the authors. Two researchers independently extracted data on funding sources, development methodologies, involved parties, and recommendations made within the guidelines. These recommendations were categorised using the pile-sort method. Each recommendation was cross-checked with the latest evidence and was awarded an evidence-rating. We identified 43 guidelines from 39 countries and after exclusion, we analysed 26 guidelines (22 targeting general population, 4 targeted subpopulations). Twelve categories of recommendations for primary care were identified. There was almost universal agreement regarding the need to identify smokers, advice them to quit and offer behavioural and pharmacological quit smoking support. Discrepancies were greatest for specific recommendations regarding behavioural and pharmacological support, which are likely to be due to different interpretations of evidence and/or differences in contextual health environments. Based on these findings, we developed a universal checklist of guideline recommendations as a practice tool for primary care professionals and future guideline developers., Smoking cessation support in primary care: universal guidelines sought An international team call for a universal guideline for primary-care practitioners who help patients to stop smoking. Although many nations have such guidelines, no studies have examined whether these guidelines are consistent with the current evidence. Marjolein Verbiest at the National Institute for Health Innovation, The University of Auckland, New Zealand, and co-workers of the International Primary Care Respiratory Group and the National Centre for Smoking Cessation and Training reviewed, evaluated and compared 26 national guidelines. Almost all guidelines place importance on identifying smokers, advising them to quit and providing behavioural and medication-based support. However, there were discrepancies in the support offered, which could be due to different interpretations of evidence, costs of medication and cultural differences. The authors offer a checklist for primary care that can inform future universal guidelines suitable for primary care.

Aims: To examine the impact of two national tobacco control interventions in the past decade on (dispensed) prescriptions of stop-smoking medication. Design: Ecological study with interrupted time–series analyses of quarterly data points of three nation-wide representative databases. Setting: The Netherlands 2001–2012, with the introduction of the guideline for smoking cessation care for general practitioners (GP) in 2007 and full insurance coverage for smoking cessation treatment in 2011. Participants: GPs, pharmacists and people in the general population aged 15 years and older. Measurements: Time–series plots were inspected visually and segmented regression analyses were performed to estimate the change in level and slope of (dispensed) prescriptions of stop-smoking medication and smoking prevalence in the years preceding and after the tobacco control interventions. Findings: No measurable effects of the GP guideline on (dispensed) prescriptions were observed. Shortly after the start of health insurance coverage, an estimated increase in primary care prescriptions of 6.3 per 1000 smokers [95% confidence interval (CI) = 2.9–9.8; P = 0.001] and 17.3 dispensed items per 1000 smokers (95% CI = 12.5–22.0; P

Item does not contain fulltext INTRODUCTION: This study examined the effectiveness of low-intensity, practice-tailored training for general practitioners (GPs) aimed at personal and organizational barriers that arise when routinely asking patients' smoking status, advising to quit, and arranging follow-up. METHODS: A cluster-randomized controlled trial with 49 GPs and 3,401 patients (677 smokers). Two patient groups participated: 2,068 patients (433 smokers) at baseline and 1,333 patients (244 smokers) postintervention. At follow-up, 225 smokers of both groups participated. The primary outcome was GP smoking cessation counseling (asking about smoking status, advising to quit, prescribing pharmacotherapy, and referring for behavioral support). Secondary outcomes were GPs' attitudes toward smoking cessation care, patients' intention to quit, and long-term quit rates. Outcomes were measured with GP self-report and patient report. RESULTS: Patients of trained GPs reported more often being asked about smoking behavior compared with patients of untrained GPs (OR = 1.94, 95% CI = 1.45-2.60). According to GP self-report, the training increased the provision of quit-smoking advices (difference 0.56 advice per day; 95% CI = 0.13-0.98) and the ability and intention of providing smoking cessation care. We found no effect on GPs' arrangement of follow-up, smokers' intention to quit, and long-term quit rates. CONCLUSIONS: After 1 hour of training, we found significant differences between trained and untrained GPs on the frequency in which they asked about smoking (patient reported) and advised smokers to quit (GP self-reported). The training did not increase prescriptions of pharmacotherapy, referrals to behavioral support, or quit rates. Future training methods should focus on the GPs' ability, tools, and skills to arrange follow-up to ensure intensive smoking cessation support.

Background Strategies are needed to help general practitioners (GPs) promote smoking cessation as recommended by guidelines. This study examines whether the quality of action planning among GPs improves their provision of smoking cessation care. Methods The effectiveness of a 1-h training programme was examined in a cluster randomised controlled trial in which 49 GPs participated. GPs who followed the training (intervention group; n = 25) formulated action plans related to i) enquiring about smoking, ii) advising to quit smoking, and iii) arranging follow-up for smokers motivated to quit. GPs also formulated a coping plan for encountering smokers not motivated to quit. The quality of these plans (plan specificity) was rated and, 6 weeks after the training, GPs reported on the performance of these plans (plan enactment). Multilevel regression analyses were used to examine the effects of plan specificity and plan enactment on patient-reported smoking cessation activities of the GPs in the intervention group (n = 1,632 patients) compared with the control group (n = 1,769 patients). Results Compared to the control group, GPs who formulated a highly specific action plan during the training asked their patients about smoking more often after the training compared to prior to the training (OR 2.11, 95% CI 1.51–2.95). GPs were most likely to have asked patients about smoking after the training compared to prior to the training when they had enacted a highly specific formulated action plan (OR 3.08, 95% CI 2.04–4.64). The effects of GP plan specificity and plan enactment on asking patient about smoking were most prominent among GPs who, at baseline, intended to provide smoking cessation care. Conclusions A highly specific action plan formulated by a GP on when, how, and by whom patients will be asked about smoking had a positive effect on GPs’ asking patients about smoking, especially when these professionals also reported to have enacted this plan. This effect was most prominent among GPs who intended to provide smoking cessation care prior to the intervention. Training in devising personalised coping plans is recommended to further increase GPs’ provision of advice to quit smoking and arranging follow-up support to quit smoking.

Item does not contain fulltext OBJECTIVE: To examine the extent to which smokers express negative statements about quitting and the extent to which these statements influence general practitioners' (GPs') and practice nurses' (PNs') (dis)continuation of guideline-recommended smoking cessation care. METHODS: Fifty-two video-consultations were observed (GP-consultations: 2007-2008; PN-consultations: 2010-2011). Dialogues were transcribed verbatim and professionals' and patients' speech units were coded and analysed using sequential analyses (n=1424 speech units). RESULTS: GPs focused on asking about smoking (GPs: 42.4% versus PNs: 26.2%, p=0.011) and advising them to quit (GPs: 15.3% versus PNs: 3.5%, p

Contains fulltext : 110023.pdf (Publisher’s version ) (Open Access) BACKGROUND: Cigarette smoking is one of the leading causes of preventable death world wide. There is good evidence that brief interventions from health professionals can increase smoking cessation attempts. A number of trials have examined whether skills training for health professionals can lead them to have greater success in helping their patients who smoke. OBJECTIVES: To determine the effectiveness of training health care professionals in the delivery of smoking cessation interventions to their patients, and to assess the additional effects of training characteristics such as intervention content, delivery method and intensity. SEARCH METHODS: The Cochrane Tobacco Addiction Group's Specialised Register, electronic databases and the bibliographies of identified studies were searched and raw data was requested from study authors where needed. Searches were updated in March 2012. SELECTION CRITERIA: Randomized trials in which the intervention was training of health care professionals in smoking cessation. Trials were considered if they reported outcomes for patient smoking at least six months after the intervention. Process outcomes needed to be reported, however trials that reported effects only on process outcomes and not smoking behaviour were excluded. DATA COLLECTION AND ANALYSIS: Information relating to the characteristics of each included study for interventions, participants, outcomes and methods were extracted by two independent reviewers. Studies were combined in a meta-analysis where possible and reported in narrative synthesis in text and table. MAIN RESULTS: Of seventeen included studies, thirteen found no evidence of an effect for continuous smoking abstinence following the intervention. Meta-analysis of 14 studies for point prevalence of smoking produced a statistically and clinically significant effect in favour of the intervention (OR 1.36, 95% CI 1.20 to 1.55, p= 0.004). Meta-analysis of eight studies that reported continuous abstinence was also statistically significant (OR 1.60, 95% CI 1.26 to 2.03, p= 0.03).Healthcare professionals who had received training were more likely to perform tasks of smoking cessation than untrained controls, including: asking patients to set a quit date (p< 0.0001), make follow-up appointments (p< 0.00001), counselling of smokers (p< 0.00001), provision of self-help material (p< 0.0001) and prescription of a quit date (p< 0.00001). No evidence of an effect was observed for the provision of nicotine gum/replacement therapy. AUTHORS' CONCLUSIONS: Training health professionals to provide smoking cessation interventions had a measurable effect on the point prevalence of smoking, continuous abstinence and professional performance. The one exception was the provision of nicotine gum or replacement therapy, which did not differ between groups.

Nursing homes aim to provide person-centered care and recognize residents as unique individuals with their own histories, life goals, and preferences. The life expectancy of nursing home residents is rather limited. Nursing homes have been hit hard by COVID-19 because of an increased risk of death and a total nursing home lockdown from March 19 until the end of May 2020. Although social relationships are a basic human need and the fulfillment of social needs is essential for both physical and mental health, nursing home residents were no longer allowed to meet their loved ones. This decision was taken without involving residents and their loved ones and without considering the psychosocial impact of such measures for residents and their loved ones. When visitors were again allowed in the nursing homes, this was valued highly. To enable decent decision-making, we call both the government and nursing homes to involve residents and their families in decision-making. It is essential to know how residents weigh the risk of a COVID-19 infection and the possible implication of them opposing social isolation. We have to adapt to a new common and need to stop talking about residents and their loved ones and start talking with them.