Service Planning Instrument (SPIn)

2017 ◽  
pp. 181-198 ◽  
Author(s):  
Natalie J. Jones ◽  
David Robinson
Keyword(s):  
Service Planning

Met and unmet needs among adults with mild to moderate intellectual disability with and without mental health problems

2020 ◽  
Author(s):  
Matthias Schützwohl
Keyword(s):  
Mental Health ◽  
Intellectual Disability ◽  
Unmet Needs ◽  
Mental Health Problems ◽  
Psychiatric Symptoms ◽  
Health Problems ◽  
Service Planning ◽  
Support Needs ◽  
Behaviour Problem ◽  
Prevalence Rates

Background: People with an intellectual disability (ID) show a great number and complex constellation of support needs. With respect to the planning of services, it is important to assess needs at the population level. ID services need to know to what extent support needs of clients with mental health problems differ from support needs of clients without any mental health problem.Aims: The aim of this study was to compare the prevalence rates of needs in relevant study groups. Methods: Data was generated from the MEMENTA-Study (“Mental health care for adults with intellectual disability and a mental disorder”). The Camberwell Assessment of Need for Adults with Intellectual Disabilities (CANDID) was used to assess met und unmet support needs. Data was available for n=248 adults with mild to moderate ID.Results: Mean total number of needs and unmet needs was associated with mental health status. However, in most particular areas under study, individuals without significant psychiatric symptoms or any behaviour problem needed as much as often help as individuals with such mental health problems. A higher rate of need for care among study participants with significant psychiatric symptoms or any behaviour problem was mainly found with regard to these specific areas (“minor mental health problems”, “major mental health problems”, “inappropriate behaviour”) or with regard to closely related areas (“safety of others”).Conclusions: Differences in prevalence rates mainly occurred in such areas of need that rather fall under the responsibility of mental health services than under the responsibility of ID services. This has implications for service planning.

scholarly journals Production Theory and Community Services Planning: Application to Solid Waste Disposal

1974 ◽  
Vol 6 (2) ◽  
pp. 25-31
Author(s):  
Marlys Knutson ◽  
Michael Boehlje ◽  
Dean Schreiner
Keyword(s):  
Solid Waste ◽  
Waste Disposal ◽  
Community Services ◽  
Service Planning ◽  
Alternative Methods ◽  
Solid Waste Disposal ◽  
Accurate Analysis ◽  
Transportation Services ◽  
Goods And Services ◽  
Labor Resources

A basic management responsibility in community service planning is to evaluate alternative methods of providing various public goods and services such as transportation services, sewage and solid waste disposal, and water for home and industry. These alternative methods frequently involve new or different technologies and various combinations of inputs such as capital and labor.For example, in the disposal of solid waste, the use of different sizes and types of bulldozers, compactors and cranes may lead to significantly different combinations of capital and labor resources. For accurate analysis, the quality and quantity of the service that can be provided with limited amounts of the various resources or inputs must be considered. Thus, the basic concepts that have been used in private business to allocate limited resources to obtain the desired output are equally applicable to the management and planning of community services.

scholarly journals A Bayesian approach to estimating the population prevalence of mood and anxiety disorders using multiple measures

2021 ◽  
Vol 30 ◽  
Author(s):  
Jordan Edwards ◽  
A. Demetri Pananos ◽  
Amardeep Thind ◽  
Saverio Stranges ◽  
Maria Chiu ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Anxiety Disorders ◽  
Administrative Data ◽  
Population Based ◽  
Accurate Estimate ◽  
Service Planning ◽  
Prevalence Estimate ◽  
Population Prevalence ◽  
Mood And Anxiety Disorders ◽  
Prevalence Estimates

Abstract Aims There is currently no universally accepted measure for population-based surveillance of mood and anxiety disorders. As such, the use of multiple linked measures could provide a more accurate estimate of population prevalence. Our primary objective was to apply Bayesian methods to two commonly employed population measures of mood and anxiety disorders to make inferences regarding the population prevalence and measurement properties of a combined measure. Methods We used data from the 2012 Canadian Community Health Survey – Mental Health linked to health administrative databases in Ontario, Canada. Structured interview diagnoses were obtained from the survey, and health administrative diagnoses were identified using a standardised algorithm. These two prevalence estimates, in addition to data on the concordance between these measures and prior estimates of their psychometric properties, were used to inform our combined estimate. The marginal posterior densities of all parameters were estimated using Hamiltonian Monte Carlo (HMC), a Markov Chain Monte Carlo technique. Summaries of posterior distributions, including the means and 95% equally tailed posterior credible intervals, were used for interpretation of the results. Results The combined prevalence mean was 8.6%, with a credible interval of 6.8–10.6%. This combined estimate sits between Bayesian-derived prevalence estimates from administrative data-derived diagnoses (mean = 7.4%) and the survey-derived diagnoses (mean = 13.9%). The results of our sensitivity analysis suggest that varying the specificity of the survey-derived measure has an appreciable impact on the combined posterior prevalence estimate. Our combined posterior prevalence estimate remained stable when varying other prior information. We detected no problematic HMC behaviour, and our posterior predictive checks suggest that our model can reliably recreate our data. Conclusions Accurate population-based estimates of disease are the cornerstone of health service planning and resource allocation. As a greater number of linked population data sources become available, so too does the opportunity for researchers to fully capitalise on the data. The true population prevalence of mood and anxiety disorders may reside between estimates obtained from survey data and health administrative data. We have demonstrated how the use of Bayesian approaches may provide a more informed and accurate estimate of mood and anxiety disorders in the population. This work provides a blueprint for future population-based estimates of disease using linked health data.

scholarly journals Behaviour change practices in exercise referral schemes: developing realist programme theory of implementation

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
John Downey ◽  
Katie Shearn ◽  
Nicola Brown ◽  
Ross Wadey ◽  
Jeff Breckon
Keyword(s):  
Behaviour Change ◽  
Theoretical Domains Framework ◽  
Developed Countries ◽  
Realist Evaluation ◽  
Service Planning ◽  
Service Development ◽  
Activity Levels ◽  
Programme Theory ◽  
Implementation Framework ◽  
Exercise Referral

Abstract Background Exercise Referral Schemes have been delivered worldwide in developed countries to augment physical activity levels in sedentary patients with a range of health issues, despite their utility being questioned. Understanding the implementation mechanisms of behaviour change practices is important to avoid inappropriate decommissioning and support future service planning. The aim of this study was to develop initial theories to understand what influences the behaviour change practices of Exercise Referral practitioners within the United Kingdom. Methods An eight-month focused ethnography was undertaken, to carry out the first phase of a realist evaluation, which included participant observation, interviews, document analysis, and reflexive journaling. A comprehensive implementation framework (Consolidated Framework for Implementation Research) was adopted providing an extensive menu of determinants. Mechanisms were categorised based on the Theoretical Domains Framework (within the Capability, Opportunity, Motivation, Behaviour model) providing an explanatory tool linking the levels of the framework. Results Three programme theories are proposed. Firstly, motivation and capability are influenced when behaviour change oriented planning and training are in place. Secondly, motivation is influenced if leadership is supportive of behaviour change practice. Lastly, integration between health professionals and practitioners will influence motivation and capability. The conditions necessary to influence motivation and capability include a person-centred climate, cognizant practitioners, and established communities of practice. Conclusions The findings are the first to articulate the necessary elements for the implementation of behaviour change practices in Exercise Referral services. These results outline emerging theories about the conditions, resources, and explanations of behaviour change implementation that can inform service development.

scholarly journals Perspectives on a psychiatric outpatient service for immigrants and refugees in São Paulo, Brazil over a 15-year period

2021 ◽  
pp. 002076402110272
Author(s):  
Luciana de Andrade Carvalho ◽  
Laura Helena Andrade ◽  
Patrícia Lin Ang ◽  
Carmen Lucia Albuquerque de Santana ◽  
Francisco Lotufo Neto ◽  
...  
Keyword(s):  
Mental Health ◽  
Cluster Analysis ◽  
Psychiatric Service ◽  
Sao Paulo ◽  
Service Planning ◽  
São Paulo ◽  
Immigrants And Refugees ◽  
Common Diagnosis ◽  
Logistic Regressions ◽  
Refugee Men

Background: Immigrants and refugees have specific mental health needs. Studies of immigrant/refugee psychiatric patients in Latin America are scarce. Aims: Present the profile of patients from an outpatient psychiatric service in Sao Paulo (Brazil) to better inform mental health service planning for immigrants and refugees in the Global South. Methods: Exploratory study to characterize the sociodemographic and mental health profile of refugees and immigrants attending outpatient psychiatric service from 2003 to 2018. Chi-square tests and logistic regressions were used to examine the association of demographic variables, exposure to violence, and immigrant status with psychiatric diagnosis. Cluster analysis was used to identify subgroups within the sample. Results: A total of 162 immigrants and refugees referred to the service obtained treatment. Of these patients, 57.4% were men, 59.8% were refugees/asylum seekers, 51.9% were Black, 48.8% were single, 64.2% had 10 years of education, and 57.4% were unemployed; the mean age of the sample was 35.9. Half of the sample (52.5%) was exposed to violence. The most common diagnosis was depression (54.2%), followed by PTSD (16.6%). Approximately 34% of the participants sought psychiatric care within 6 months of arrival. Logistic regressions showed that men had lower odds of presenting with depression (OR = 0.34). Patients with PTSD were more likely to be refugees (OR = 3.9) and not have a university degree (OR = 3.1). In the cluster analysis, a cluster of patients with PTSD included almost all Black refugee men exposed to violence. Most patients diagnosed with psychotic disorders were also Black refugee men. Conclusion: Immigrants and refugees represent a vulnerable group. The majority of the sample was Black, refugee men, who were also more likely to present with PTSD. Future studies are needed to better understand issues in treatment adherence in relation to socioeconomic characteristics.

scholarly journals Factors associated with higher healthcare costs in a cohort of homeless adults with a mental illness and a general cohort of adults with a history of homelessness

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kathryn Wiens ◽  
Laura C. Rosella ◽  
Paul Kurdyak ◽  
Simon Chen ◽  
Tim Aubry ◽  
...  
Keyword(s):  
Mental Illness ◽  
Healthcare Costs ◽  
Service Use ◽  
Multinomial Logistic Regression ◽  
Service Planning ◽  
Inpatient Service ◽  
Homeless Adults ◽  
Targeted Interventions ◽  
Factors Associated ◽  
History Of

Abstract Background Healthcare costs are disproportionately incurred by a relatively small group of people often described as high-cost users. Understanding the factors associated with high-cost use of health services among people experiencing homelessness could help guide service planning. Methods Survey data from a general cohort of adults with a history of homelessness and a cohort of homeless adults with mental illness were linked with administrative healthcare records in Ontario, Canada. Total costs were calculated using a validated costing algorithm and categorized based on population cut points for the top 5%, top 6–10%, top 11–50% and bottom 50% of users in Ontario. Multinomial logistic regression was used to identify the predisposing, enabling, and need factors associated with higher healthcare costs (with bottom 50% as the reference). Results Sixteen percent of the general homeless cohort and 30% percent of the cohort with a mental illness were in the top 5% of healthcare users in Ontario. Most healthcare costs for the top 5% of users were attributed to emergency department and inpatient service costs, while the costs from other strata were mostly for physician services, hospital outpatient clinics, and medications. The odds of being within the top 5% of users were higher for people who reported female gender, a regular medical doctor, past year acute service use, poor perceived general health and two or more diagnosed chronic conditions, and were lower for Black participants and other racialized groups. Older age was not consistently associated with higher cost use; the odds of being in the top 5% were highest for 35-to-49-year year age group in the cohort with a mental illness and similar for the 35–49 and ≥ 50-year age groups in the general homeless cohort. Conclusions This study combines survey and administrative data from two cohorts of homeless adults to describe the distribution of healthcare costs and identify factors associated with higher cost use. These findings can inform the development of targeted interventions to improve healthcare delivery and support for people experiencing homelessness.

scholarly journals What are the risk factors for admission to the pediatric intensive unit among pediatric patients with COVID-19?

2021 ◽  
Vol 47 (1) ◽  
Author(s):  
Susanna Esposito ◽  
Fabio Caramelli ◽  
Nicola Principi
Keyword(s):  
Risk Factors ◽  
At Risk ◽  
Ventricular Function ◽  
Early Identification ◽  
Pediatric Patients ◽  
Serum Levels ◽  
Left Ventricular ◽  
Service Planning ◽  
Children At Risk ◽  
Heart Involvement

Abstract Background Although with exceptions, evidence seems to indicate that children have lower susceptibility than adults to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. When infected, children generally remain asymptomatic or develop mild disease. A small number of pediatric cases required admission to the pediatric intensive care unit (PICU), respiratory support with a mechanical ventilation and additional life-saving interventions. Even if rarely, death can occur. Aim of this manuscript is to highlight the risk factors associated with severe outcome among pediatric patients with COVID-19. Main findings Early identification of SARS-CoV-2-infected children at risk of developing severe COVID-19 is vital for service planning, as severely affected pediatric patients require high-quality care and should be followed only where an adequately structured PICU is available. However, early identification of children who must be carefully monitored for substantial risk of severe COVID-19 remains difficult. An underlying comorbidity and heart involvement are frequently observed in severe paediatric cases. Reduced left ventricular systolic function with an ejection fraction < 60%; diastolic dysfunction; and arrhythmias, including ST segment changes, QTc prolongation, and premature atrial or ventricular beat, are the earliest manifestations of heart involvement. Inclusion of heart enzyme serum levels and evaluation of ventricular function among predictive markers could lead to a more effective evaluation of children at risk with proper selection of those to admit to the PICU and with more adequate treatment in case of more severe clinical manifestations. Conclusions To appropriately manage severe pediatric COVID-19 cases, greater attention should be paid to risk factors in children and adolescents, especially to cardiovascular alterations (e.g., heart enzyme serum levels and evaluation of ventricular function). Further studies are needed and the development of a validated score based on all the most common presumed markers of disease severity seems essential.

scholarly journals Dementia Adjudication Triggers Associated With Increased Mortality for Older Australians: Evidence From ASPREE

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 161-161
Author(s):  
Jane Banaszak-Holl ◽  
Xiaoping Lin ◽  
Jing Xie ◽  
Stephanie Ward ◽  
Henry Brodaty ◽  
...  
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
The Elderly ◽  
Cox Proportional Hazards ◽  
Service Planning ◽  
Cox Proportional Hazards Model ◽  
Cognitive Test ◽  
Risk Of Death ◽  
Hazards Model ◽  
Using Data

Abstract Research Aims: This study seeks to understand whether those with dementia experience higher risk of death, using data from the ASPREE (ASPirin in Reducing Events in the Elderly) clinical trial study. Methods: ASPREE was a primary intervention trial of low-dose aspirin among healthy older people. The Australian cohort included 16,703 dementia-free participants aged 70 years and over at enrolment. Participants were triggered for dementia adjudication if cognitive test results were poorer than expected, self-reporting dementia diagnosis or memory problems, or dementia medications were detected. Incidental dementia was adjudicated by an international adjudication committee using the Diagnostic and Statistical Manual for Mental Disorders (DSM-IV) criteria and results of a neuropsychological battery and functional measures with medical record substantiation. Statistical analyses used a cox proportional hazards model. Results: As previously reported, 1052 participants (5.5%) died during a median of 4.7 years of follow-up and 964 participants had a dementia trigger, of whom, 575 (60%) were adjucated as having dementia. Preliminary analyses has shown that the mortality rate was higher among participants with a dementia trigger, regardless of dementia adjudication outcome, than those without (15% vs 5%, Χ2 = 205, p &lt;.001). Conclusion: This study will provide important analyses of differences in the hazard ratio for mortality and causes of death among people with and without cognitive impairment and has important implications on service planning.

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