Health impact of the first and second wave of COVID-19 and related restrictive measures among nursing home residents: a scoping review.

BACKGROUND AND OBJECTIVES: COVID-19 disproportionally affects older adults living in nursing homes. The purpose of this review was to explore and map the scientific literature on the health impact of COVID-19 and related restrictive measures during the first and second wave among nursing home residents. A specific focus was placed on health data collected among nursing home residents themselves. RESEARCH DESIGN AND METHODS: In this study, best practices for scoping reviews were followed. Five databases were systematically searched for peer-reviewed empirical studies published up until December 2020 in which data were collected among nursing home residents. Articles were categorized according to the type of health impact (physical, social and/or psychological) and study focus (impact of COVID-19 virus or related restrictive measures). Findings were presented using a narrative style. RESULTS: Of 60 included studies, 57 examined the physical impact of COVID-19. All of these focused on the direct impact of the COVID-19 virus. These studies often used an observational design and quantitative data collection methods, such as swab testing or reviewing health records. Only three studies examined the psychological impact of COVID-19 of which one study focused on the impact of COVID-19-related restrictive measures. Findings were contradictory; both decreased and improved psychological wellbeing was found during the pandemic compared with before. No studies were found that examined the impact on social wellbeing and one study examined other health-related outcomes, including preference changes of nursing home residents in Advanced Care planning following the pandemic. DISCUSSION AND IMPLICATIONS: Studies into the impact of the first and second wave of the COVID-19 pandemic among nursing home residents predominantly focused on the physical impact. Future studies into the psychological and social impact that collect data among residents themselves will provide more insight into their perspectives, such as lived experiences, wishes, needs and possibilities during later phases of the pandemic. These insights can inform policy makers and healthcare professionals in providing person-centered care during the remaining COVID-19 pandemic and in future crisis periods.

Dementia Enlightened?! A Systematic Literature Review of the Influence of Indoor Environmental Light on the Health of Older Persons with Dementia in Long-Term Care Facilities.

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.

Using PROMs during routine medical consultations: The perspectives of people with Parkinson's disease and their health professionals.

BACKGROUND: The 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. OBJECTIVES: To 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. METHODS: We 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. FINDINGS: Patients 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/DISCUSSION: When 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.

Factors associated with the identification of child mental health problems in primary care-a systematic review.

Background: Although common and often with long-lasting effects, child mental health problems (MHPs) are still under-recognized and under-treated. A better understanding of the factors associated with the identification of MHPs in primary care may improve the recognition of MHPs. Objectives: To review studies on factors associated with the identification of child MHPs in primary care. Methods: Six leading databases were systematically searched until 1 October 2018. Two independent researchers selected articles and extracted data on study characteristics and factors associated with MHP identification. Inclusion criteria were the investigation of factors associated with MHP identification by primary care professionals (PCPs) in children aged 0-18 years. Results: Of the 6215 articles identified, 26 were included. Prevalence rates of PCP-identified MHPs varied between 7 and 30%. PCPs identified 26-60% of children with an increased risk of MHPs as indicated by MHP assessment tools, but associated factors were investigated in relatively few studies. MHPs were more often identified in children with a family composition other than married parents, with worse mental health symptoms, prior MHPs, among boys in elementary school, when contact with PCPs was related to parental psychosocial concerns or routine health check-ups, when PCPs were recently trained in MHPs or when PCPs felt less burdened treating MHPs. Conclusion: MHP identification varied substantially between studies and PCPs and was related to several child, family and practice factors. Future studies should systematically investigate factors associated with MHP identification by PCPs and specifically in children with an increased risk of MHPs according to mental health assessment tools.

Development of a framework with tools to support the selection and implementation of patient-reported outcome measures.

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.

Using codesign to develop a culturally tailored, behavior change mHealth intervention for indigenous and other priority communities: A case study in New Zealand.

The obesity rate in New Zealand is one of the highest worldwide (31%), with highest rates among Maori (47%) and Pasifika (67%). Codesign was used to develop a culturally tailored, behavior change mHealth intervention for Maori 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 Maori 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 Maori 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/whanau [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 Maori 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.

Smokers' identity and quit advice in general practice: General practitioners need to focus more on female smokers.

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.

Emergency department visits of young children and long-term exposure to neighbourhood smoke from household heating - The Growing Up in New Zealand child cohort study.

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.

Use of action planning to increase provision of smoking cessation care by general practitioners: role of plan specificity and enactment.

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.

Sequence-analysis of video-recorded practitioner-patient communication about smoking in general practice: do smokers express negative statements about quitting?

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<0.001), whereas PNs focused on assisting them with quitting (GPs: 25.4% versus PNs: 55.2%, p<0.001). Overall, patients expressed more negative statements about quitting than positive statements (negative: 25.3% versus positive: 11.9%, p<0.001), especially when PNs assessed their willingness to quit (OR 3.61, 95% CI 1.44-9.01) or assisted them with quitting (OR 2.23, 95% CI 1.43-3.48). PRACTICE IMPLICATIONS: An alternative approach to smoking cessation care is proposed in which GPs' tasks are limited to asking, advising, and arranging follow-up. This approach seems the least likely to evoke negative statements of patients about quitting during dialogues with GPs and is compatible with the tasks and skills of PNs who could, subsequently, assist smokers with quitting.

One-hour training for general practitioners in reducing the implementation gap of smoking cessation care: a cluster-randomized controlled trial.

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.

An increase in primary care prescriptions of stop-smoking medication as a result of health insurance coverage in the Netherlands: population based study.

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 < 0.000) was accompanied by a sudden drop in smoking prevalence of 2.9% (95% CI = 4.6-1.1; P = 0.002) in the first quarter of 2011. Immediately after the coverage abolition, smoking prevalence increased by 1.2% (95% CI = 0.5-2.8; P = 0.156) and dispensed prescription rates decreased with 21.6 per 1000 smokers (95% CI = 26.0-17.2; P < 0.000). CONCLUSIONS: Full health insurance coverage for smoking cessation treatment in the Netherlands was accompanied by a significant increase in the number of (dispensed) prescriptions of stop-smoking medication and a decrease in smoking prevalence.

Training health professionals in smoking cessation.

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.