Disentangling the influence of neighborhood and individual characteristics on early residential mobility among newly diagnosed patients with schizophrenia: a multilevel analysis

Ngui, André Ngamini; Apparicio, Philippe; Fleury, Marie‐Josée; Grégoire, Jean‐Pierre; Moisan, Jocelyne; Lesage, Alain; Vanasse, Alain

doi:10.1007/s00127-014-0883-3

Cited by 6 publications

(5 citation statements)

References 60 publications

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“…Categories of older adults' mobility determinants [36, 45-47, 52, 60, 86] Cognitive [33,40,49,50,53,74,75,78,80,83] Psychosocial [34, 35, 40, 54-56, 58, 63, 64, 70, 79, 87, 88] Physical [34, 41, 46, 54-57, 59, 61, 62, 64-68, 71-74, 76-78, 81, 82, 85, 97] Environmental [54,71,73,74,83] Financialwith gender, culture, and biography Fig. 6 Mobility determinants overview facilitators, including safe crossings or good lighting.…”

Section: Sourcementioning

confidence: 99%

Challenges and opportunity in mobility among older adults – key determinant identification

et al. 2023

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Background Attention is focused on the health and physical fitness of older adults due to their increasing age. Maintaining physical abilities, including safe walking and movement, significantly contributes to the perception of health in old age. One of the early signs of declining fitness in older adults is limited mobility. Approximately one third of 70-year-olds and most 80-year-olds report restrictions on mobility in their apartments and immediate surroundings. Restriction or loss of mobility is a complex multifactorial process, which makes older adults prone to falls, injuries, and hospitalizations and worsens their quality of life while increasing overall mortality. Objective The objective of the study is to identify the factors that have had a significant impact on mobility in recent years and currently, and to identify gaps in our understanding of these factors. The study aims to highlight areas where further research is needed and where new and effective solutions are required. Methods The PRISMA methodology was used to conduct a scoping review in the Scopus and Web of Science databases. Papers published from 2007 to 2021 were searched in November 2021. Of these, 52 papers were selected from the initial 788 outputs for the final analysis. Results The final selected papers were analyzed, and the key determinants were found to be environmental, physical, cognitive, and psychosocial, which confirms the findings of previous studies. One new determinant is technological. New and effective solutions lie in understanding the interactions between different determinants of mobility, addressing environmental factors, and exploring opportunities in the context of emerging technologies, such as the integration of smart home technologies, design of accessible and age-friendly public spaces, development of policies and regulations, and exploration of innovative financing models to support the integration of assistive technologies into the lives of seniors. Conclusion For an effective and comprehensive solution to support senior mobility, the determinants cannot be solved separately. Physical, cognitive, psychosocial, and technological determinants can often be perceived as the cause/motivation for mobility. Further research on these determinants can help to arrive at solutions for environmental determinants, which, in turn, will help improve mobility. Future studies should investigate financial aspects, especially since many technological solutions are expensive and not commonly available, which limits their use.

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Section: Sourcementioning

confidence: 99%

Challenges and opportunity in mobility among older adults – key determinant identification

et al. 2023

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“…To study how suicide rates vary between rural and urban areas, research studies have often used centralized registries, coroners' reports and death certificates as a basis for investigation. Most studies have been conducted in High Income countries, including six from Australia, [201][202][203][204][205][206] four from the United States, [207][208][209][210] two from Austria, 211,212 three from the UK, [213][214][215] one from Canada 216 and one from New Zealand 217 (Table 5). More recently, a handful of studies have been conducted in LAMIC countries,…”

Section: Urban Vs Rural Settingsmentioning

confidence: 99%

“…In an attempt to move beyond basic rural-urban gradients in suicide mortality, several studies have used small area investigations to examine neighbourhood variation which may account for variation in suicide rates (Table 6), including social isolation and integration. 230 As before, this research has primarily been conducted in High Income countries, including Denmark, 231 Australia, 232 New Zealand, 233 the UK, 213,[234][235][236][237] United States, 208,238 Canada, 216 Belguim, 230 Austria, 212 Netherlands, 193 Finland, 239 Taiwan, 218,241 Brazil, 242 Slovenia 243 and Japan. 244 Both social fragmentation, 223,230,236,237,243 and deprivation 193,203,230,233,236,239 have been associated with suicide mortality, as well as some evidence of a relationship with income inequality, 239 low social capital (in particular social trust), 193,208,240,244 and low population density.…”

Section: Neighbourhoodsmentioning

confidence: 99%

Urban-Rural Differences in Major Mental Health Conditions

Solmi¹,

Dykxhoorn²,

Kirkbride³

2017

Mental Health and Illness in the City

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is a Research Associate in psychiatric epidemiology in the PsyLife group, Division of Psychiatry, UCL. She is interested in researching life course risk factors of various mental health problems in childhood, adolescence and young adulthood as well as ways to improve access to mental health services. Jennifer Dykxhoorn is a PhD student in the PsyLife Lab, Division of Psychiatry, UCL. Her research focuses on social and spatial determinants of psychotic disorders. She has a background in public mental health policy, having previously worked for the Public Health Agency of Canada and Mental Health Commission of Canada. Dr James Kirkbride is a Reader in Epidemiology in the Division of Psychiatry, UCL. He specialises in investigating the determinants of excess risk of schizophrenia and other psychotic disorders experienced by urban populations and ethnic minority groups. He runs the PsyLife group (www.PsyLife.eu) in the Division of Psychiatry, UCL.

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“…The study used four large administrative databanks: 1) the ARC data registry (January 1 st to December 31, 2004), for client information on age, sex, place of residence, number of programs used in the ARC, and duration of attendance at the center; 2) physicians’ billing database of the Régie de l’assurance maladie du Québec (RAMQ) (March 31, 2003 to April 1st, 2005) for the number of consultations to medical professionals (GPs, psychiatrists, other specialists) as well as physician diagnoses for physical and mental conditions; 3) hospital discharge database, Maintenance et exploitation des données pour l'étude de la clientèle hospitalière (Med-Echo) (March 31, 2003 to April 1st, 2005), for information on hospital services provided (number and duration) and diagnoses for physical conditions and mental disorders given during hospital stay [ 48 ]; and 4) the Institut national de la santé publique du Québec database, for socio-geographic data on local community service centers (LCSC) based on territorial divisions in 2004. The LCSC is the smallest territorial level at which Quebec health and social services are organized [ 48 ].…”

Section: Methodsmentioning

confidence: 99%

Factors associated with high use of general practitioner and psychiatrist services among patients attending an addiction rehabilitation center

Huỳnh

Ngui²,

Kairouz

et al. 2016

BMC Psychiatry

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BackgroundThis study aimed to 1) identify the characteristics of individuals with substance use disorders (SUDs) who make high use of services provided by general practitioners (GP) and psychiatrists while receiving services concurrently from an addiction rehabilitation center (ARC), and 2) to compare high service users to moderate and low service users.MethodsData were compiled for 4,407 individuals with SUDs who were receiving services from an ARC in 2004. The data came from the merging of four databases: the ARC data registry (January 1st, 2004–December 31, 2004), the Quebec Health Insurance Board database (March 31, 2003–April 1st, 2005), the Quebec provincial database for hospitalizations (March 31, 2003–April 1st, 2005), and the Quebec National Institute of Public Health database (2004). Independent variables were grouped according to the Andersen Behavioral Model of Health Services Use: predisposing, enabling and need factors. Generalized estimating equations analyses were performed to assess the influence of individual and neighborhood-level characteristics on high use of services outside the ARC provided by GPs and psychiatrists. Benjamini-Hochberg’s procedure was applied to correct for multiple comparisons.ResultsAbout 97 % of individuals attending the ARC consulted a GP or a psychiatrist during the two-year study period, for a mean of 1.5 consultations per month. Findings revealed that 5 % of the sample made 26 % of all consultations over the two years, and they were defined as high users. No single predisposing factor was associated with high use. One enabling factor significantly increased the risk of being a high user of services from general practitioners and psychiatrists: receiving services at the ARC for three years prior to 2004. Four needs factors, all related to mental health diagnoses (schizophrenia, mood disorder, anxiety disorder, personality disorder), predicted high use of general practitioner and psychiatrist services.ConclusionsThis study found that nearly all individuals with SUDs receiving services from an ARC were users of health services from GPs and psychiatrists outside the ARC. High users most probably accessed them in inpatient settings. No previous study has compared high service users with low and moderate users among individuals with SUDs. Considering that ARCs are treating individuals with complex needs, some of whom make high use of medical professionals, both ARCs and their clients could benefit from increased collaboration and integration between the addictions and mental healthcare sectors.

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Disentangling the influence of neighborhood and individual characteristics on early residential mobility among newly diagnosed patients with schizophrenia: a multilevel analysis

Abstract: Factors influencing early residential mobility of schizophrenic patients are located at both individual and neighborhood levels. This suggests that policies targeting only one-level factors are unlikely to significantly delays early residential mobility.

Cited by 6 publications

References 60 publications

Challenges and opportunity in mobility among older adults – key determinant identification

Challenges and opportunity in mobility among older adults – key determinant identification

Urban-Rural Differences in Major Mental Health Conditions

Factors associated with high use of general practitioner and psychiatrist services among patients attending an addiction rehabilitation center

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