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25 pages, 1326 KiB

Open AccessSystematic Review

Workplace Interventions to Reduce Occupational Stress for Older Workers: A Systematic Review

by Daniel Subel, David Blane and Jessica Sheringham

Int. J. Environ. Res. Public Health 2022, 19(15), 9202; https://doi.org/10.3390/ijerph19159202 - 27 Jul 2022

Cited by 6 | Viewed by 4354

The working life of individuals is now longer because of increases to state pension age in the United Kingdom. Older workers may be at particular risk in the workplace, compared with younger workers. Successful workplace interventions to reduce occupational stress amongst older workers are essential, but little is known about their effectiveness. The aim is to evaluate current evidence of the effectiveness of interventions for reducing stress in older workers in non-healthcare settings. Four database searches were conducted. The search terms included synonyms of “intervention”, “workplace” and “occupational stress” to identify original studies published since 2011. Dual screening was conducted on the sample to identify studies which met the inclusion criteria. The RoB 2.0 tool for RCTs was used to assess the risk of bias. From 3708 papers retrieved, ten eligible papers were identified. Seven of the papers’ interventions were deemed effective in reducing workplace stress. The sample size for most studies was small, and the effectiveness of interventions were more likely to be reported when studies used self-report measures, rather than biological measures. This review indicates that workplace interventions might be effective for reducing stress in older workers. However, there remains an absence of high-quality evidence in this field. Full article

(This article belongs to the Special Issue Inequalities in Health and Healthcare)

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15 pages, 7646 KiB

Open AccessArticle

Development of Public Health Core Outcome Sets for Systems-Wide Promotion of Early Life Health and Wellbeing

by Liina Mansukoski, Alexandra Albert, Yassaman Vafai, Chris Cartwright, Aamnah Rahman, Jessica Sheringham, Bridget Lockyer, Tiffany C. Yang, Philip Garnett and Maria Bryant

Int. J. Environ. Res. Public Health 2022, 19(13), 7947; https://doi.org/10.3390/ijerph19137947 - 28 Jun 2022

Cited by 2 | Viewed by 3143

Abstract

We aimed to develop a core outcome set (COS) for systems-wide public health interventions seeking to promote early life health and wellbeing. Research was embedded within the existing systems-based intervention research programme ‘ActEarly’, located in two different areas with high rates of child poverty, Bradford (West Yorkshire) and the Borough of Tower Hamlets (London). 168 potential outcomes were derived from five local government outcome frameworks, a community-led survey and an ActEarly consortium workshop. Two rounds of a Delphi study (Round 1: 37 participants; Round 2: 56 participants) reduced the number of outcomes to 64. 199 members of the community then took part in consultations across ActEarly sites, resulting in a final COS for systems-based public health interventions of 40 outcomes. These were grouped into the domains of: Development & education (N = 6); Physical health & health behaviors (N = 6); Mental health (N = 5); Social environment (N = 4); Physical environment (N = 7); and Poverty & inequality (N = 7). This process has led to a COS with outcomes prioritized from the perspectives of local communities. It provides the means to increase standardization and guide the selection of outcome measures for systems-based evaluation of public health programmes and supports evaluation of individual interventions within system change approaches. Full article

(This article belongs to the Special Issue Inequalities in Health and Healthcare)

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9 pages, 1113 KiB

Open AccessProtocol

A Protocol for a Mixed-Methods Process Evaluation of a Local Population Health Management System to Reduce Inequities in COVID-19 Vaccination Uptake

by Georgia Watson, Cassie Moore, Fiona Aspinal, Claudette Boa, Vusi Edeki, Andrew Hutchings, Rosalind Raine and Jessica Sheringham

Int. J. Environ. Res. Public Health 2022, 19(8), 4588; https://doi.org/10.3390/ijerph19084588 - 11 Apr 2022

Cited by 1 | Viewed by 2448

Abstract

Population health management is an emerging technique to link and analyse patient data across several organisations in order to identify population needs and plan care. It is increasingly used in England and has become more important as health policy has sought to drive greater integration across health and care organisations. This protocol describes a mixed-methods process evaluation of an innovative population health management system in North Central London, England, serving a population of 1.5 million. It focuses on how staff have used a specific tool within North Central London’s population health management system designed to reduce inequities in COVID-19 vaccination. The COVID-19 vaccination Dashboard was first deployed from December 2020 and enables staff in North London to view variations in the uptake of COVID-19 vaccinations by population characteristics in near real-time. The evaluation will combine interviews with clinical and non-clinical staff with staff usage analytics, including the volume and frequency of staff Dashboard views, to describe the tool’s reach and identify possible mechanisms of impact. While seeking to provide timely insights to optimise the design of population health management tools in North Central London, it also seeks to provide longer term transferable learning on methods to evaluate population health management systems. Full article

(This article belongs to the Special Issue Inequalities in Health and Healthcare)

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18 pages, 698 KiB

Open AccessArticle

Household Tenure and Its Associations with Multiple Long-Term Conditions amongst Working-Age Adults in East London: A Cross-Sectional Analysis Using Linked Primary Care and Local Government Records

by Elizabeth Ingram, Manuel Gomes, Sue Hogarth, Helen I. McDonald, David Osborn and Jessica Sheringham

Int. J. Environ. Res. Public Health 2022, 19(7), 4155; https://doi.org/10.3390/ijerph19074155 - 31 Mar 2022

Cited by 3 | Viewed by 2188

Abstract

Multiple long-term conditions (MLTCs) are influenced in extent and nature by social determinants of health. Few studies have explored associations between household tenure and different definitions of MLTCs. This study aimed to examine associations between household tenure and MLTCs amongst working-age adults (16 to 64 years old, inclusive). This cross-sectional study used the 2019–2020 wave of an innovative dataset that links administrative data across health and local government for residents of a deprived borough in East London. Three definitions of MLTCs were operationalised based on a list of 38 conditions. Multilevel logistic regression models were built for each outcome and adjusted for a range of health and sociodemographic factors. Compared to working-age owner-occupiers, odds of basic MLTCs were 36% higher for social housing tenants and 19% lower for private renters (OR 1.36; 95% CI 1.30–1.42; p < 0.001 and OR 0.81, 95% CI 0.77–0.84, p < 0.001, respectively). Results were consistent across different definitions of MLTCs, although associations were stronger for social housing tenants with physical-mental MLTCs. This study finds strong evidence that household tenure is associated with MLTCs, emphasising the importance of understanding household-level determinants of health. Resources to prevent and tackle MLTCs among working-age adults could be differentially targeted by tenure type. Full article

(This article belongs to the Special Issue Inequalities in Health and Healthcare)

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