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This study aims to explore which outcome measures are used by occupational therapy staff in adult social care settings in the UK, and the factors affecting use of outcome measures.

A quantitative descriptive research design was used, using a cross-sectional study to explore occupational therapy staff views on the use of outcome measures. A 38-question survey was developed on Microsoft Forms. Recruitment occurred online over a three-week period in 2021 via the social media platform “Twitter”. Results were analysed using Excel using descriptive statistics and qualitative results used thematic analysis.

Participants (n = 20) used a range of outcome measures (13) in adult social care settings in the previous 12 months. Standardised measures were used by half the sample in the previous 12 months. The Therapy Outcome Measure and Barthel Index were in most use. The breadth of adult social care practice and practical factors such as caseload and lack of a meaningful tool were found to be barriers to outcome measure use. Facilitators included service improvement, accountability, use of audit and professional occupational therapy leadership.

The overall use of outcome measures can be considered low in this setting, with manager support seen to be key to the use of outcome measures. Further research is needed to investigate nationwide use.

Training, time and manager support are key to use of standardised tests and outcome measures in the adult social care settings. The use of occupational performance measures should be considered to demonstrate unique professional impact.

This contemporary study reveals use of outcome measures within occupational therapy adult social care services in the UK, which is an under researched and under published area.

Given the lack of understanding of social marketing success in theory and practice, this study aims to investigate how social marketing experts conceptualize success.

In this qualitative study, the authors conducted an open-ended online questionnaire with 48 worldwide social marketing experts, most with more than 20 years of experience in the field. The authors analyzed data using topic modeling, a machine-learning method that groups responses/terms into cluster topics based on similarities. Keywords in each topic served to generate themes for discussion.

While behavior change is mentioned as paramount to conceptualizing success, participants prefer to use more tangible and less complex forms to define/measure success, such as campaign recall uptick. In addition, lack of funding was considered an important factor in measuring success. This study provides a two-stage taxonomy to better understand success in social marketing.

To the best of the authors’ knowledge, this study is one of the first to conceptualize success in social marketing practice.

In this chapter we develop a new approach, based on the identification of strategy classes, to study how firms face multiple demands. The procedure that we propose (called Relational Class Analysis) stems from an analysis of the similarity of associative patterns across multiple observable outcomes, which reflect the underlying set of choices firms make to similarly address demands. Empirically, the study of 18 financial and extra-financial performance outcomes for 3,655 firms shows the existence of three main strategic classes. Drawing on our analysis, we redefine strategy as the set of committed decisions undertaken to resolve trade-offs between multiple concurrent objectives and discuss the implications of our approach for eight core questions for strategy and organizational theory.

Clinician engagement in research has positive impacts for healthcare, but is often difficult for healthcare organisations to support in light of limited resources. This scoping review aimed to describe the literature on health service-administered strategies for increasing research engagement by medical practitioners.

Medline, EMBASE and Web of Science databases were searched from 2000 to 2021 and two independent reviewers screened each record for inclusion. Inclusion criteria were that studies sampled medically qualified clinicians; reported empirical data; investigated effectiveness of an intervention in improving research engagement and addressed interventions implemented by an individual health service/hospital.

Of the 11,084 unique records, 257 studies were included. Most (78.2%) studies were conducted in the USA, and were targeted at residents (63.0%). Outcomes were measured in a variety of ways, most commonly publication-related outcomes (77.4%), though many studies used more than one outcome measure (70.4%). Pre-post (38.8%) and post-only (28.7%) study designs were the most common, while those using a contemporaneous control group were uncommon (11.5%). The most commonly reported interventions included Resident Research Programs (RRPs), protected time, mentorship and education programs. Many articles did not report key information needed for data extraction (e.g. sample size).

This scoping review demonstrated that, despite a large volume of research, issues like poor reporting, infrequent use of robust study designs and heterogeneous outcome measures limited application. The most compelling available evidence pointed to RRPs, protected time and mentorship as effective interventions. Further high-quality evidence is needed to guide healthcare organisations on increasing medical research engagement.

Research has examined how new ventures strengthen local economic outcomes; however, limited research examines health-oriented ventures and their impact on social outcomes, including health outcomes. Increased VC investment in healthcare service start-ups signals more activity toward this end, and the need for further academic inquiry. We examine the relationship between these start-ups and county-level health outcomes, health factors, and hospital utilization.

Data on start-ups funded via institutional venture capital from PitchBook were merged with US county-level outcomes from the County Health Rankings and Area Health Resources Files for 2010 to 2019. We investigated how the number of VC-funded healthcare service start-ups, as well as a subset defined as innovative, were associated with county-level health measures. We used panel models with two-way fixed effects and Propensity Score Matched (PSM), controlling for demographics and socioeconomic factors.

Each additional VC-funded healthcare service start-up was related to a significant 0.01 percentage point decrease in diabetes prevalence (p < 0.01), a decrease of 1.54 HIV cases per 100,000 population (p < 0.1), a 0.02 percentage point decrease in obesity rates (p < 0.01), and a 0.03 percentage point decrease in binge drinking (p < 0.01). VC-funded healthcare service start-ups were not related to hospital utilization.

This work expands our understanding of how industry-specific start-ups, in this case healthcare start-ups, relate to positive social outcomes. The results underscore the importance of evidence-based evaluation, the need for expanded outcome measures for VC investment, and the possibilities for integration of healthcare services and entrepreneurship ecosystems.

Findings in the literature indicate leading financial analysts attract high levels of market attention and provide more accurate earnings forecasts prior to becoming all-star analysts. Furthermore, these analysts significantly impact the investment decisions of other market participants and thus the market price of assets. Therefore, this study examines the information role of leading financial analysts and identifies two significant conclusions. First, the positive outcomes of these analyst leaders are more informative and attract more followers. Second, informational herding by followers of these analysts is not as naïve as suggested in previous studies, as followers who smartly use information from analyst leaders tend to perform better. We also find that analysts who practice smart learning by studying and selectively employing analyst-leader decisions achieve better career outcomes.

This paper aims to examine the extent to which performance indicators (PIs) reported by New Zealand (NZ) higher education institutions (HEIs) correspond with accounting standards and guidance and the effects issuance of principles-based authoritative guidance and early adoption of Public Benefit Entity Financial Reporting Standard 48 (PBE FRS 48) have on the PIs disclosed.

Using a content analysis index derived from accounting standards and guidance, we conduct a longitudinal assessment of the 2016 and 2019 statements of service performance published by 22 NZ HEIs.

The PIs reported extend beyond the service performance elements proposed by standard-setters. Despite few indicators on intermediate and broader outcomes, the measures disclosed by HEIs are reflective of their role in the NZ economy and the national Tertiary Education Strategy. The results show that principles-based authoritative guidance and early adoption of PBE FRS 48 influence the focus and type of measures disclosed, while there is no evidence of improvements in the reporting of impacts, outcomes and information useful for performance evaluation.

This paper provides timely insights for standard-setters and regulators on the influence principles-based accounting standards and guidance have on non-financial reporting practices.

This study contributes to the scant literature on HEIs’ service performance reporting. It presents a model for conceptualising HEIs’ PIs that can be used as a basis for future research on non-financial reporting. It also reflects on the tension between accountability and “accountingisation”, suggesting that, although the PIs reported support formal accountability, they do not communicate whether HEIs’ activities and outputs meet their social purpose.

This paper aims to propose a tool to assess local public expenditure effectiveness based on a framework of alignment between outputs, outcomes and impacts – the Index of Municipal Expenditure Effectiveness (IMEE). This index is composed of a set of indicators associated with the typology of local expenditure.

The paper describes the methodological approach used in the development of the Index, considering the insights from the literature review and the opinion of a panel of experts. The indicators of outcomes and social impacts that are part of the Index are intentionally aligned with the UN Sustainable Development Goals (SDGs) as they provide an essential guide to assess public value creation in the current context. For simplicity purposes, three main components of municipal expenditure were considered, namely Education, Essential Public Services and Local Public Transportation. The Index is then illustrated through a pilot application, using data from five Portuguese municipalities.

This study argues that measuring the public expenditure effectiveness based on outcome and impact indicators can provide the data needed for local governments to better understand the effects of their activities over time, ultimately assessing their contribution to public value.

Assessing the impact of local spending is important to ensure the best use of public resources. Linking local public expenditures with the 2030 Agenda and the SDGs is a promising avenue to understand up to what extent the application of the public money is contributing to create public value by impacting on citizens’ lives.

The proposed IMEE contributes to addressing a gap identified in public organizations, including local governments, regarding the lack of consideration of expenditure and outcome/impact relationships, and the use of variables to measure long term impacts.

This study aims to illustrate how collaborative platforms may leverage active community for climate change adaptation to implement biodiversity preservation policies.

This study adopts the Dynamic Performance Governance methodological framework to analyze the causal relationships affecting biodiversity preservation policy outcomes.

Active community reduces harmful factors for biodiversity (i.e. biological threats and anthropogenic pressure), limiting the risk of extinction of perennial plants. Stakeholders’ prior knowledge is an enabling condition of climate adaptation processes as it triggers the adoption of prescriptions and cultural changes in a community.

The study provides methodological guidance to define measures to deliver material information to support environmental performance governance. It elaborates an inventory of short- and long-term performance indicators integrating natural-science targets into accounting measures that can support policymakers operating in other contexts to implement climate change adaptation policies.

As a response to the study findings, social implications provide insights into how active community in collaborative platforms for climate change may support stakeholders to address natural resources imbalances, define strategies to share the burden among them and intervene on multiple policy domains (e.g. financial, environmental and social).

Climate change adaptation challenges are conceptualized as “super wicked problems,” and the collaborative platforms designed to address them are rendered as complex adaptive systems. This makes the paper go beyond traditional environmental governance, demonstrating that stakeholders’ interactions within collaborative platforms harness active community specialized knowledge.

The purpose of this paper is to identify how different factors of antecedents and processes affect the outcomes of an internship, measured in terms of competency development.

The authors used an internship questionnaire designed for the University of Tartu in Estonia. Responses were obtained from 178 students across different disciplines – humanities and the arts, social sciences, natural sciences and medicine – who had recently taken an internship. Based on current academic literature, the authors create a three-level model: antecedents-processes-outcomes. The antecedents and processes were both differentiated into three factors and tested with a structural equation model.

The model demonstrates that there are different antecedents that have an effect on internship outcomes, but these only work through internship processes. For example, the objective of the internship and clarity of instructions will only have a positive effect if there is relevant support from the supervisor at the employing company and if the student can use the knowledge and skills gained at university.

The study is based on survey data filled in by students, i.e. based on self-perception. Based on the results of the study, the authors claim that an active role and initiative-taking by students in finding suitable internships should be further encouraged.

Whilst previous studies have used a two-level model of internship (or a three-level model for students satisfaction as an outcome) the authors create and test a three-level model measuring competency development as the outcome of an internship.