scholarly journals Estimating local need for mental healthcare to inform fair resource allocation in the NHS in England: cross-sectional analysis of national administrative data linked at person level

2019 ◽  
Vol 216 (6) ◽  
pp. 338-344
Author(s):  
Laura Anselmi ◽  
Anna Everton ◽  
Robert Shaw ◽  
Wataru Suzuki ◽  
Jeremy Burrows ◽  
...  

BackgroundEquitable access to mental healthcare is a priority for many countries. The National Health Service in England uses a weighted capitation formula to ensure that the geographical distribution of resources reflects need.AimsTo produce a revised formula for estimating local need for secondary mental health, learning disability (intellectual disability) and psychological therapies services for adults in England.MethodWe used demographic records for 43 751 535 adults registered with a primary care practitioner in England linked with service use, ethnicity, physical health diagnoses and type of household, from multiple data-sets. Using linear regression, we estimated the individual cost of care in 2015 as a function of individual- and area-level need and supply variables in 2013 and 2014. We sterilised the effects of the supply variables to obtain individual-need estimates. We aggregated these by general practitioner practice, age and gender to derive weights for the national capitation formula.ResultsHigher costs were associated with: being 30–50 years old, compared with 20–24; being Irish, Black African, Black Caribbean or of mixed ethnicity, compared with White British; having been admitted for specific physical health conditions, including drug poisoning; living alone, in a care home or in a communal environment; and living in areas with a higher percentage of out-of-work benefit recipients and higher prevalence of severe mental illness. Longer distance from a provider was associated with lower cost.ConclusionsThe resulting needs weights were higher in more deprived areas and informed the distribution of some 12% (£9 bn in 2019/20) of the health budget allocated to local organisations for 2019/20 to 2023/24.

2021 ◽  
Author(s):  
Elise Tessier ◽  
Yuma Rai ◽  
Eleanor Clarke ◽  
Anissa Lakhani ◽  
Camille Tsang ◽  
...  

Objective: To determine characteristics associated with COVID-19 vaccine coverage among individuals aged 50 years and above in England since the beginning of the programme. Design: Observational cross-sectional study assessed by logistic regression and mean prevalence margins. Setting: COVID-19 vaccinations delivered in England from 08 December 2020 to 17 May 2021. Participants: 30,624,257/ 61,967,781 (49.4%) and 17,360,045/ 61,967,781 (28.1%) individuals in England were recorded as vaccinated in the National Immunisation Management System with a first dose and a second dose of a COVID-19 vaccine, respectively. Interventions: Vaccination status with COVID-19 vaccinations. Main Outcome Measures: Proportion, adjusted odds ratios and mean prevalence margins for individuals not vaccinated with dose 1 among those aged 50- 69 years old and dose 1 and 2 among those aged 70 years old and above. Results: Among individuals aged 50 years and above, Black/African/Caribbean ethnic group was the least likely of all ethnic groups to be vaccinated with dose 1 of the COVID-19 vaccine. However, among those aged 70 years and above, the odds of not having dose 2 was 5.53 (95% CI 5.42 to 5.63) and 5.36 (90% CI 5.29 to 5.43) greater among Pakistani and Black/African/Caribbean compared to White British ethnicity, respectively. The odds of not receiving dose 2 was 1.18 (95% CI 1.16 to 1.20) higher among individuals who lived in a care home compared to those who did not. This was the opposite to that observed for dose 1, where the odds of not being vaccinated was significantly higher among those not living in a care home (0.89 (95% CI 0.87 to 0.91)). Conclusions: We found that there are characteristics associated with low COVID-19 vaccine coverage. Inequalities, such as ethnicity are a major contributor to suboptimal coverage and tailored interventions are required to improve coverage and protect the population from SARS-CoV-2.


Author(s):  
Pam Phojanakong ◽  
Emily Brown Weida ◽  
Gabriella Grimaldi ◽  
Félice Lê-Scherban ◽  
Mariana Chilton

This study examines the associations of mothers’ experiences of discrimination (EODs) with household food insecurity (HFI), physical health, and depressive symptoms, while taking into account the influence of mothers’ Adverse Childhood Experiences (ACEs) and public assistance participation. Mothers (N = 1372) of young children under age 4 who self-identified as Latinx, Non-Latinx Black/African American and Non-Latinx white answered questions for a cross-sectional survey in an emergency room in a large children’s hospital in Philadelphia between 2016 and 2018. Logistic regression was used to model associations of EODs in specific settings with HFI, depressive symptoms, and physical health. Compared to those without EODs, mothers with EODs from police/courts and in workplaces had higher odds of HFI, AOR =2.04 (95% CI: 1.44–2.89) and AOR = 1.57 (95% CI: 1.18–2.11), respectively. Among Latinx mothers, EODs in school were associated with nearly 60% higher odds of HFI and nearly 80% higher odds of depressive symptoms. Latinx and Black mothers with EODs in workplaces had higher odds of HFI (AOR = 1.76, 95% CI: 1.21–2.56 and AOR = 1.46, 95% CI: 1.05–2.36, respectively), compared to mothers without EODs. Discrimination is associated with HFI, depressive symptoms, and poor health. Public health interventions intended to improve food security and health may be only partially effective without simultaneously addressing racism and discrimination.


2019 ◽  
pp. 1-11 ◽  
Author(s):  
Vishal Bhavsar ◽  
Sarah Dorrington ◽  
Craig Morgan ◽  
Stephani L. Hatch ◽  
Philip McGuire ◽  
...  

Abstract Background Co-occurrence of common mental disorders (CMD) with psychotic experiences is well-known. There is little research on the public mental health relevance of concurrent psychotic experiences for service use, suicidality, and poor physical health. We aim to: (1) describe the distribution of psychotic experiences co-occurring with a range of non-psychotic psychiatric disorders [CMD, depressive episode, anxiety disorder, probable post-traumatic stress disorder (PTSD), and personality dysfunction], and (2) examine associations of concurrent psychotic experiences with secondary mental healthcare use, psychological treatment use for CMD, lifetime suicide attempts, and poor self-rated health. Methods We linked a prospective cross-sectional community health survey with a mental healthcare provider database. For each non-psychotic psychiatric disorder, patients with concurrent psychotic experiences were compared to those without psychotic experiences on use of secondary mental healthcare, psychological treatment for CMD, suicide attempt, physical functioning, and a composite multimorbidity score, using logistic regression and Cox regressions. Results In all disorders except for anxiety disorder, concurrent psychotic experiences were accompanied by a greater odds of all outcomes (odds ratios) for a unit change in composite multimorbidity score ranged between 2.21 [95% confidence interval (CI) 1.49–3.27] and 3.46 (95% CI 1.52–7.85). Hazard ratios for secondary mental health service use for non-psychotic disorders with concurrent psychotic experiences, ranged from 0.53 (95% CI 0.15–1.86) for anxiety disorders with psychotic experiences to 4.99 (95% CI 1.22–20.44) among those with PTSD with psychotic experiences. Conclusions Co-occurring psychotic experiences indicate greater public mental health burden, suggesting psychotic experiences could be a marker for future preventive strategies improving public mental health.


BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e049721
Author(s):  
Ioannis Bakolis ◽  
Robert Stewart ◽  
David Baldwin ◽  
Jane Beenstock ◽  
Paul Bibby ◽  
...  

ObjectivesTo investigate changes in daily mental health (MH) service use and mortality in response to the introduction and the lifting of the COVID-19 ‘lockdown’ policy in Spring 2020.DesignA regression discontinuity in time (RDiT) analysis of daily service-level activity.Setting and participantsMental healthcare data were extracted from 10 UK providers.Outcome measuresDaily (weekly for one site) deaths from all causes, referrals and discharges, inpatient care (admissions, discharges, caseloads) and community services (face-to-face (f2f)/non-f2f contacts, caseloads): Adult, older adult and child/adolescent mental health; early intervention in psychosis; home treatment teams and liaison/Accident and Emergency (A&E). Data were extracted from 1 Jan 2019 to 31 May 2020 for all sites, supplemented to 31 July 2020 for four sites. Changes around the commencement and lifting of COVID-19 ‘lockdown’ policy (23 March and 10 May, respectively) were estimated using a RDiT design with a difference-in-difference approach generating incidence rate ratios (IRRs), meta-analysed across sites.ResultsPooled estimates for the lockdown transition showed increased daily deaths (IRR 2.31, 95% CI 1.86 to 2.87), reduced referrals (IRR 0.62, 95% CI 0.55 to 0.70) and reduced inpatient admissions (IRR 0.75, 95% CI 0.67 to 0.83) and caseloads (IRR 0.85, 95% CI 0.79 to 0.91) compared with the pre lockdown period. All community services saw shifts from f2f to non-f2f contacts, but varied in caseload changes. Lift of lockdown was associated with reduced deaths (IRR 0.42, 95% CI 0.27 to 0.66), increased referrals (IRR 1.36, 95% CI 1.15 to 1.60) and increased inpatient admissions (IRR 1.21, 95% CI 1.04 to 1.42) and caseloads (IRR 1.06, 95% CI 1.00 to 1.12) compared with the lockdown period. Site-wide activity, inpatient care and community services did not return to pre lockdown levels after lift of lockdown, while number of deaths did. Between-site heterogeneity most often indicated variation in size rather than direction of effect.ConclusionsMH service delivery underwent sizeable changes during the first national lockdown, with as-yet unknown and unevaluated consequences.


BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e041371
Author(s):  
Alyssa Howren ◽  
J Antonio Aviña-Zubieta ◽  
Deborah Da Costa ◽  
Joseph H Puyat ◽  
Hui Xie ◽  
...  

ObjectiveTo evaluate the association between having arthritis and the perceived need for mental healthcare and use of mental health support among individuals with mental disorders.DesignA cross-sectional analysis using data from Canadian Community Health Survey—Mental Health (2012).SettingThe survey was administered across Canada’s 10 provinces using multistage cluster sampling.ParticipantsThe study sample consisted of individuals reporting depression, anxiety or bipolar disorder.Study variables and analysisThe explanatory variable was self-reported doctor-diagnosed arthritis, and outcomes were perceived need for mental healthcare and use of mental health support. We computed overall and gender-stratified multivariable binomial logistic regression models adjusted for age, gender, race/ethnicity, income and geographical region.ResultsAmong 1774 individuals with a mental disorder in the study sample, 436 (20.4%) reported having arthritis. Arthritis was associated with increased odds of having a perceived need for mental healthcare (adjusted OR (aOR) 1.71, 95% CI 1.06 to 2.77). In the gender-stratified models, this association was increased among men (aOR 2.69, 95% CI 1.32 to 5.49) but not women (aOR 1.48, 95% CI 0.78 to 2.82). Evaluation of the association between arthritis and use of mental health support resulted in an aOR of 1.50 (95% CI 0.89 to 2.51). Individuals with arthritis tended to use medications and professional services as opposed to non-professional support.ConclusionComorbid arthritis among individuals with a mental disorder was associated with an increased perceived need for mental healthcare, especially in men, underscoring the importance of understanding the role of masculinity in health seeking. Assessing the mental health of patients with arthritis continues to be essential for clinical care.


BMJ Open ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. e048860
Author(s):  
Valerie Moran ◽  
Marc Suhrcke ◽  
Maria Ruiz-Castell ◽  
Jessica Barré ◽  
Laetitia Huiart

ObjectivesWe investigate the prevalence of unmet need arising from wait times, distance/transportation and financial affordability using the European Health Interview Survey. We explore associations between individual characteristics and the probability of reporting unmet need.DesignCross-sectional survey conducted between February and December 2014.Setting and participants4004 members of the resident population in private households registered with the health insurance fund in Luxembourg aged 15 years and over.Outcome measuresSix binary variables that measured unmet need arising from wait time, distance/transportation and affordability of medical, dental and mental healthcare and prescribed medicines among those who reported a need for care.ResultsThe most common barrier to access arose from wait times (32%) and the least common from distance/transportation (4%). Dental care (12%) was most often reported as unaffordable, followed by prescribed medicines (6%), medical (5%) and mental health (5%) care. Respondents who reported bad/very bad health were associated with a higher risk of unmet need compared with those with good/very good health (wait: OR 2.41, 95% CI 1.53 to 3.80, distance/transportation: OR 7.12, 95% CI 2.91 to 17.44, afford medical care: OR 5.35, 95% CI 2.39 to 11.95, afford dental care: OR 3.26, 95% CI 1.86 to 5.71, afford prescribed medicines: OR 2.22, 95% CI 1.04 to 4.71, afford mental healthcare: OR 3.58, 95% CI 1.25 to 10.30). Income between the fourth and fifth quintiles was associated with a lower risk of unmet need for dental care (OR 0.29, 95% CI 0.16 to 0.53), prescribed medicines (OR 0.38, 95% CI 0.17 to 0.82) and mental healthcare (OR 0.17, 95% CI 0.05 to 0.61) compared with income between the first and second quintiles.ConclusionsRecent and planned reforms to address waiting times and financial barriers to accessing healthcare may help to address unmet need. In addition, policy-makers should consider additional policies targeted at high-risk groups with poor health and low incomes.


Author(s):  
Muireann O’Donnell ◽  
Vishnu Pradeep ◽  
Colum P Dunne ◽  
David Meagher ◽  
Brendan D Kelly ◽  
...  

2021 ◽  
pp. 135581962199749
Author(s):  
Veronica Toffolutti ◽  
David Stuckler ◽  
Martin McKee ◽  
Ineke Wolsey ◽  
Judith Chapman ◽  
...  

Objective Patients with a combination of long-term physical health problems can face barriers in obtaining appropriate treatment for co-existing mental health problems. This paper evaluates the impact of integrating the improving access to psychological therapies services (IAPT) model with services addressing physical health problems. We ask whether such services can reduce secondary health care utilization costs and improve the employment prospects of those so affected. Methods We used a stepped-wedge design of two cohorts of a total of 1,096 patients with depression and/or anxiety and comorbid long-term physical health conditions from three counties within the Thames Valley from March to August 2017. Panels were balanced. Difference-in-difference models were employed in an intention-to-treat analysis. Results The new Integrated-IAPT was associated with a decrease of 6.15 (95% CI: −6.84 to −5.45) [4.83 (95% CI: −5.47 to −4.19]) points in the Patient Health Questionnaire-9 [generalized anxiety disorder-7] and £360 (95% CI: –£559 to –£162) in terms of secondary health care utilization costs per person in the first three months of treatment. The Integrated-IAPT was also associated with an 8.44% (95% CI: 1.93% to 14.9%) increased probability that those who were unemployed transitioned to employment. Conclusions Mental health treatment in care model with Integrated-IAPT seems to have significantly reduced secondary health care utilization costs among persons with long-term physical health conditions and increased their probability of employment.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Alexandra P. Metse ◽  
Caitlin Fehily ◽  
Tara Clinton-McHarg ◽  
Olivia Wynne ◽  
Sharon Lawn ◽  
...  

Abstract Background Poor sleep and poor mental health go hand in hand and, together, can have an adverse impact on physical health. Given the already disproportionate physical health inequities experienced by people with a mental health condition worldwide, the need to consider and optimise sleep has been highlighted as a means of improving both physical and mental health status. Sleep recommendations recently developed by the United States’ National Sleep Foundation incorporate a range of sleep parameters and enable the identification of ‘suboptimal’ sleep. Among community-dwelling persons with and without a 12-month mental health condition in Australia, this study reports: [1] the prevalence of ‘suboptimal’ sleep and [2] rates of sleep assessment by a health care clinician/service and receipt of and desire for sleep treatment. Methods A descriptive study (N = 1265) was undertaken using self-report data derived from a cross-sectional telephone survey of Australian adults, undertaken in 2017. Results Fifteen per cent (n = 184) of participants identified as having a mental health condition in the past 12 months. Across most (7 of 8) sleep parameters, the prevalence of suboptimal sleep was higher among people with a mental health condition, compared to those without (all p < 0.05). The highest prevalence of suboptimal sleep for both groups was seen on measures of sleep duration (36–39% and 17–20% for people with and without a mental health condition, respectively). In terms of sleep assessment and treatment, people with a mental health condition were significantly more likely to: desire treatment (37% versus 16%), have been assessed (38% versus 12%) and have received treatment (30% versus 7%). Conclusions The prevalence of suboptimal sleep among persons with a mental health condition in Australia is significantly higher than those without such a condition, and rates of assessment and treatment are low for both groups, but higher for people with a mental health condition. Population health interventions, including those delivered as part of routine health care, addressing suboptimal sleep are needed.


2021 ◽  
pp. 193229682110111
Author(s):  
Sarah Nadeem ◽  
Uswah Siddiqi ◽  
Russell Seth Martins ◽  
Kaleemullah Badini

Introduction: Diabetes mellitus technology (DMT) is increasingly used for routine management in developed countries, yet its uptake in developing countries is not as consistent. Multiple factors may influence this, including country specific patient perception regarding DMT. We conducted a pilot study in Pakistan to understand this important question which has not been studied yet. Methods: A cross-sectional pilot study was conducted in Pakistan. An anonymous survey exploring perceptions of diabetes technology was circulated on social media platforms, collecting responses over 2 weeks. Target population included adults (≥18 years) living in Pakistan, with DM1 or 2. Results: A total of 40 responses were received. The majority (36/40) reported using conventional glucometers. Nine used continuous glucose monitoring (CGM). Thirty-two of 40 patients believed DMT improved diabetes care, 22 felt it helped decreased risk of Diabetes-related complications. 15/40 stated that DMT results in increased cost of care. Sixteen reported their diabetes care teams had never discussed wearable DMT options whereas 11 disliked them because they did not want a device on their self. Conclusion: In our pilot study we have identified broad themes of opportunity and challenges to DMT use in Pakistan. Patients’ perceptions regarding DMT were generally positive but significant barriers to its acceptance included high cost, lack of discussion between doctor and patient about available technology and personal hesitation. Limitations of our study include sampling bias (online survey) and small sample size, but this data can help inform larger studies, to look at this important topic in greater detail.


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