Bridging Food Systems and One Health: A key to preventing future pandemics?

Food Systems and One Health are two approaches increasingly known for the holistic perspective they bring when addressing the issues that concern them: food and health. This systematic literature review aims to explore the evidence for using these approaches in a concerted manner to better manage zoonoses. By zoonoses management, we refer to improving the ability to address current zoonoses as well as preventing future ones. A total of 98 scientific articles were screened, of which 29 were considered eligible due to their focus on operationalizing each approach to help address zoonoses, as well as a combination of the two. Most articles implement One Health to prevent zoonoses by guiding stakeholders in concerted and participatory decision-making processes. However, the One Health approach can also be adopted via data modelling. Several articles refer to the monitoring and evaluation process of One Health initiatives to prevent zoonoses and discuss best practices to successfully implement the approach. Contrastingly, only three studies adopt a Food System approach to manage zoonoses, despite the profound connections existing between our food systems and the emergence of zoonotic risks. We conclude that there is a lack of integration between the One Health and Food System approaches to manage zoonoses. We also show that experts call for integration, so that not only human, animal, plant, and environmental health are considered, but also the socio-economic trade-offs when monitoring and developing strategies to manage zoonoses. This can be reversed, enabling zoonotic risks to be addressed when planning for our food systems of tomorrow.

Fishery catch records support machine learning-based prediction of illegal fishing off US West Coast

Illegal, unreported, and unregulated (IUU) fishing is a major problem worldwide, often made more challenging by a lack of at-sea and shoreside monitoring of commercial fishery catches. Off the US West Coast, as in many places, a primary concern for enforcement and management is whether vessels are illegally fishing in locations where they are not permitted to fish. We explored the use of supervised machine learning analysis in a partially observed fishery to identify potentially illicit behaviors when vessels did not have observers on board. We built classification models (random forest and gradient boosting ensemble tree estimators) using labeled data from nearly 10,000 fishing trips for which we had landing records (i.e., catch data) and observer data. We identified a set of variables related to catch (e.g., catch weights and species) and delivery port that could predict, with 97% accuracy, whether vessels fished in state versus federal waters. Notably, our model performances were robust to inter-annual variability in the fishery environments during recent anomalously warm years. We applied these models to nearly 60,000 unobserved landing records and identified more than 500 instances in which vessels may have illegally fished in federal waters. This project was developed at the request of fisheries enforcement investigators, and now an automated system analyzes all new unobserved landings records to identify those in need of additional investigation for potential violations. Similar approaches informed by the spatial preferences of species landed may support monitoring and enforcement efforts in any number of partially observed, or even totally unobserved, fisheries globally.

Systematic examination of methodological inconsistency in operationalizing cognitive reserve and its impact on identifying predictors of late-life cognition

BACKGROUND

Cognitive reserve (CR) is the ability to maintain cognitive performance despite brain pathology. CR is built through lifecourse experiences (e.g., education) and is a key construct in promoting healthy aging. However, the operationalization of CR and its estimated association with late-life cognition varies. The purpose of this study was to systematically examine the operationalization of CR and the relationship between its operationalization and late-life cognition.

METHODS

We performed a comprehensive review of experiences (proxies) used to operationalize CR. The review informed quantitative analyses using data from 1366 participants of the Memory and Aging Project to examine 1) relationships between proxies and 2) the relationship between operationalization and late-life cognition. We also conducted a factor analysis with all identified CR experiences to create a composite lifecourse CR score. Generalized linear mixed models examined the relationship between operationalizations and global cognition, with secondary outcomes of five domains of cognition to examine consistency.

RESULTS

Based on a review of 753 articles, we found the majority (92.3%) of the 28 commonly used proxies have weak to no correlation between one another. There was substantial variability in the association between operationalizations and late-life global cognition (median effect size: 0.99, IQR: 0.34 to 1.39). There was not strong consistency in the association between CR operationalizations and the five cognitive domains (mean consistency: 56.1%). The average estimate for the 28 operationalizations was 0.91 (SE = 0.48), compared to 2.48 (SE = 0.40) for the lifecourse score and it was associated with all five domains of cognition.

CONCLUSIONS

Inconsistent methodology is theorized as a major limitation of CR research and barrier to identification of impactful experiences for healthy cognitive aging. Based on the weak associations, it is not surprising that the relationship between CR and late-life cognition is dependent on the experience used to operationalize CR. Scores using multiple experiences across the lifecourse may help overcome such limitations. Adherence to a lifecourse approach and collaborative movement towards a consensus operationalization of CR are imperative shifts in the study of CR that can better inform research on risk factors related to cognitive decline and ultimately aid in the promotion of healthy aging.

Pillars for successful operationalization of one health as an ecosystem approach: experience from a human-animal interface in the Maasai steppe in Tanzania

BACKGROUND

Solving complex public health challenges requires integrated approaches to health, such as One Health. A key element of the One Health approach is the interrelationship between human, animal and environmental health and the associated multistakeholder collaboration across many cultural, disciplinary, institutional and sectoral boundaries. Here we describe a pragmatic approach for One Health operationalisation basing on our long-term engagement with communities faced with health challenges in a human-livestock-wildlife interface in the Maasai steppe in northern Tanzania.

METHODS

Using a qualitative study design we performed an outcome mapping to document insights on results integration from our previous project. Data were collected through participatory community meetings, in-depth interviews and field observations. Field notes were coded and analysed using inductive thematic analysis.

RESULTS

We found that effective implementation of One Health interventions in complex ecosystems works best by understanding local conditions and their context and by working closely with the local people and relevant disciplinary players as one complex adaptive system. Community engagement, systems analysis, transdisciplinarity as well as political commitment played critical roles in successful operationalization of One Health. We have further emphasized that project ownership is as important to the local community as it is to the researchers. When used in combination, these elements (community engagement, systems analysis, transdisciplinarity) provide essential pillars for co-creation and maintaining collective action to set a common vision across disciplines, serving as inputs for a metrics-based toolbox for One Health operationalisation.

CONCLUSION

Considering the novelty and complexity of One Health operationalisation, there is need also to develop scorecard-based guidance for assessment of One Health programs at local and national level. This paper proposes a framework for the optimization of an ecosystems-based One Health approach for prevention and control of Vector-Borne Diseases implemented at the local, sub-national or national level.

Why Definitional Clarity Matters: Implications for the Operationalization of Emotional Well-Being

The National Institutes of Health (NIH) is increasingly prioritizing research on health-promoting processes. Park et al. (this issue) respond to a call made by NIH to advance the study of emotional well-being (EWB) and to increase understanding of the fundamental constituents of EWB across the lifespan and among diverse subgroups. They propose a definition of EWB that provides an organizing framework for research on 'psychological aspects of well-being' and health. We commend this important first step and urge consideration of three important issues related to operationalization - the process by which an abstract concept is transformed into variables that can be measured - in future research on EWB. We expect that an iterative process of construct refinement and empirical validation will advance the study of EWB, producing scientific discoveries that can be leveraged to enhance health across the lifespan.

Implications of the syntheses on definition, theory, and methods conducted by the Response Shift - in Sync Working Group

PURPOSE

Our aim is to advance response shift research by explicating the implications of published syntheses by the Response Shift - in Sync Working Group in an integrative way and suggesting ways for improving the quality of future response shift studies.

METHODS

Members of the Working Group further discussed the syntheses of the literature on definitions, theoretical underpinnings, operationalizations, and response shift methods. They outlined areas in need of further explication and refinement, and delineated additional implications for future research.

RESULTS

First, the proposed response shift definition was further specified and its implications for the interpretation of results explicated in relation to former, published definitions. Second, the proposed theoretical model was further explained in relation to previous theoretical models and its implications for formulating research objectives highlighted. Third, ways to explore alternative explanations per response shift method and their implications for response shift detection and explanation were delineated. The implications of the diversity of the response shift methods for response shift research were presented. Fourth, the implications of the need to enhance the quality and reporting of the response shift studies for future research were sketched.

CONCLUSION

With our work, we intend to contribute to a common language regarding response shift definitions, theory, and methods. By elucidating some of the major implications of earlier work, we hope to advance response shift research.

Spelling out some unaddressed conceptual and methodological challenges in empirical lifespan research

The importance of taking a lifespan approach to describe and understand human development has long been acknowledged (e.g., Baltes, 1987). Nevertheless, theoretical or empirical research that actually encompasses the entire lifespan, that is, from early childhood to old age, is rare. This is not surprising given the challenges such an approach entails. Many of these challenges (e.g., establishing measurement invariance between age groups) have been addressed in the previous literature, but others have not yet been sufficiently considered. The main purpose of this article is to present several examples of such largely unaddressed conceptual and methodological challenges and reflect upon possible ways to address them. We discuss the usefulness of a lifespan approach and the generalization of the challenges to other research comparing different groups, such as gender, culture, or species.

Operationalizing the distribution of oral HIV self-testing kits to men who have sex with men (MSM) in a highly homophobic environment: the Nigerian experience

Background

Self-care health interventions are innovative approaches for improving health and achieving the sustainable development goals (SDGs). Men who have sex with men (MSM) have been disproportionately affected by Human Immunodeficiency Virus (HIV). In spite of this, stigma from healthcare workers has reportedly prevented MSM from accessing HIV testing in health facilities. This paper explored the operationalization of using key opinion leaders (KOLs) to distribute HIVST (HIV self-test) kits to MSM. This qualitative survey used a combination of in-depth interviews (IDI) with HIVST users and focus group discussions (FGDs) with KOLs to collect data three months after the distribution of the test kits by the KOLs. Thematic analysis of the data was carried out.

Result

Three themes were generated namely: KOLs serve as a trusted resource to promote and support HIVST for the MSM community; Skills and qualifications required for KOLs to effectively distribute and promote uptake of HIVST; and Effective strategies used to create demand and promote uptake of HIVST.

Conclusion

This study showed the practical steps involved in operationalizing KOL support system distribution of HIVST that positively influenced the testing experience for the participants irrespective of the HIV status and engagement in care. KOLs are a reliable resource to leverage for ensuring that HIV self-test kit is utilized and HIV positive individuals are linked to treatment and care in homophobic environments.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-12378-0.

Implementing compassion in pediatric healthcare: A qualitative study of Canadian patients', parents', and healthcare providers' perspectives

BACKGROUND

Compassion has received significant scholarly attention over the past decade. Research has been largely theoretical, with interventions focused on self-care practices of healthcare providers (HCPs), rather than implementation at a systems level. This study aimed to identify how compassion can be operationalized within pediatric healthcare.

DESIGN AND METHODS

Data was analyzed from a secondary dataset of a larger Straussian grounded theory study of perspectives and experiences of compassion in pediatric healthcare. Patients (n = 33); parents (n = 16); and HCPs (n = 17) were asked specifically how compassion could be implemented within the clinical culture and healthcare system.

RESULTS

66 participants generated an operational model of compassion indicating how compassion could be implemented across the organization and larger healthcare system. The data revealed four themes and associated subthemes: teach and train; recognize and reward; measure and report; and embed compassion across the healthcare system.

CONCLUSIONS

Improving compassion in pediatric healthcare needs to extend beyond the efforts of individual HCPs. Compassion is the responsibility of the entire healthcare system and needs to traverse the patient and family experience. In addition to embedding compassion in policy, procedures, practice, and education, compassion should be considered a performance indicator that is measured and reported.

PRACTICE IMPLICATIONS

This study provides a preliminary framework for organizational leaders to operationalize compassion across the services, structures, polices, procedures and practices of pediatric healthcare. This includes ongoing compassion training across the organization; assessing compassion, recognizing compassion as a performance indicator, and ensuring that the infrastructure and ancillary services of the organization reflect compassion.

[Assessment and operationalization of the characteristic "gender" in representative population-based surveys: challenges and implications with the example of the GeSiD study]

Repräsentative quantitative Surveys erheben das Geschlecht der Teilnehmenden, um geschlechtsspezifische Analysen im Hinblick auf die jeweiligen Fragestellungen zuzulassen und Rückschlüsse auf die Populationen zu ziehen. Dies ist wichtig, um zielgruppenspezifische Informationen und Angebote zu entwickeln. Doch obwohl Geschlecht nicht mehr ausschließlich als ein binäres Konstrukt betrachtet wird, wird es noch oft durch eine binäre Variable mit den Antwortmöglichkeiten Frau/Mann oder weiblich/männlich erhoben. In diesem Artikel erörtern wir, warum dieses Vorgehen veraltet bzw. unvollständig und eine Abkehr von diesem Ansatz wichtig und notwendig ist. Anhand der GeSiD-Studie zu „Gesundheit und Sexualität in Deutschland“ zeigen wir in diesem Diskussionsbeitrag exemplarisch auf, wie Geschlecht anhand eines zweistufigen Modells erhoben werden kann, bei dem im ersten Schritt das bei der Geburt zugewiesene Geschlecht und im zweiten Schritt die subjektive Geschlechtszugehörigkeit abgefragt wird. Gleichzeitig erörtern wir die Herausforderungen, die dieser Ansatz mit sich bringt. Die Erfahrungen aus der GeSiD-Studie setzen wir in einen größeren Kontext und diskutieren die Implikationen und Möglichkeiten zur Operationalisierung von Geschlecht in repräsentativen Befragungen.

Looking Back to Leap Forward: A Framework for Operationalizing the Structural Racism Construct in Minority Health Research

Racism is now widely recognized as a fundamental cause of health inequalities in the United States. As such, health scholars have rightly turned their attention toward examining the role of structural racism in fostering morbidity and mortality. However, to date, much of the empirical structural racism-health disparities literature limits the operationalization of structural racism to a single domain or orients the construct around a White/Black racial frame. This operationalization approach is incomprehensive and overlooks the heterogeneity of historical and lived experiences among other racial and ethnic groups. To address this gap, we present a theoretically grounded framework that illuminates core mutually reinforcing domains of structural racism that have stratified opportunities for health in the United States. We catalog instances of structural discrimination that were particularly constraining (or advantageous) to the health of racial and ethnic groups from the late 1400s to present. We then illustrate the utility of this framework by applying it to American Indians or Alaska Natives and discuss the framework's broader implications for empirical health research. This framework should help future scholars across disciplines as they identify and interrogate important laws, policies, and norms that have differentially constrained opportunities for health among racial and ethnic groups.

Systemic factors for enhancing intersectoral collaboration for the operationalization of One Health: a case study in India

Background

One Health is a collaborative, multisectoral, and transdisciplinary approach—working at the local, regional, national, and global levels—with the goal of achieving optimal health outcomes recognizing the interconnection between people, animals, plants, and their shared environment. Operationalization of the One Health approach is still unclear for various local health systems with their respective targets. In this scenario, the empirical study of intersectoral collaboration between the human and animal health systems provides an opportunity to investigate the appropriate strategies and their enabling factors at the local health system level. Thus, this study documented and validated the innovative strategy for intersectoral collaboration, focusing on effectual prevention and control of zoonotic diseases with its enabling factors for a city in western India, Ahmedabad.

Methods

This case study was conducted in three phases: phase I (qualitative data collection, i.e., vignette interview), phase II (quantitative data collection through modified policy Delphi), and phase III (participatory workshop). The vignette data were handled for content analysis, and the Delphi data, like other quantitative data, for descriptive statistics. The participatory workshop adapts the computerized Sensitivity Model^® developed by Vester to analyse the health system dynamics.

Result

Out of the possible 36 strategies, this study validated the top 15 essential (must-have) and five preferred (should-have) strategies for the study area. For operationalization of the One Health approach, the enabling factors that were identified through the systems approach are micro-level factors at the individual level (trust, leadership, motivation, knowledge), meso-level factors at the organizational level (human resource, capacity-building, shared vision, decision-making capacity, laboratory capacity, surveillance), macro-level factors at the system level (coordinated roles, relationships, common platform), and external factors outside of the system (guidelines/policies, community participation, a specific budget, political will, smart technology).

Discussion

This study reveals that the micro-level factors at the individual level are potential levers of the health system. More attention to these factors could be beneficial for the operationalization of the One Health approach. This study recommends a systems approach through a bottom-up exploration to understand the local health system and its enabling factors, which should be accounted for in formulating future One Health policies.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12961-021-00727-9.

Creating a measure to operationalize engaged well-being at work

BACKGROUND

Mental well-being and work engagement are both desirable, positive states of mind that help employees to better function in the workplace. While occupational researchers have argued in favor of considering both states concurrently, it is less clear how this might be translated to provide an instrument characterizing the workforce accordingly. The present study describes empirical efforts to operationalize a construct called engaged well-being.

METHODS

We used employee-level data (n = 13,538) from three waves of the German linked personnel panel (LPP; 2012-2017). Exploratory factor analysis and a combination of hierarchical and non-hierarchical cluster analyses linked with within-sum-of-squares statistics were used to identify distinct profiles describing mental well-being and work engagement concurrently. These profiles were then used as the basis to identify cut-offs to create replicable categories of engaged well-being. Using the longitudinal data from a subgroup providing data across more than one wave, we observed whether the newly constructed indicator changed over time.

RESULTS

The exploratory factor analysis suggested that both states were two distinct factors. Cluster analysis linked with within-sum-of-squares statistics suggested a four-cluster solution: engaged well-being (46.9%), disengaged well-being (27.5%), engaged strain (8.8%), and disengaged strain (16.8%). One cut-off for each state was identified to replicate the cluster solution. Across observation periods, we could observe changes in engaged well-being.

CONCLUSIONS

Our measure of engaged well-being can be used to simultaneously characterize a workforce's mental well-being and work engagement. Changes in this measure over time suggest its potential utility in organizational interventions. Future studies are needed to further explore both the antecedents, correlates, and potential effects of engaged well-being.

Critical examination of current response shift methods and proposal for advancing new methods

Purpose

This work is part of an international, interdisciplinary initiative to synthesize research on response shift in results of patient-reported outcome measures. The objective is to critically examine current response shift methods. We additionally propose advancing new methods that address the limitations of extant methods.

Methods

Based on literature reviews, this critical examination comprises design-based, qualitative, individualized, and preference-based methods, latent variable models, and other statistical methods. We critically appraised their definition, operationalization, the type of response shift they can detect, whether they can adjust for and explain response shift, their assumptions, and alternative explanations. Overall limitations requiring new methods were identified.

Results

We examined 11 methods that aim to operationalize response shift, by assessing change in the meaning of one’s self-evaluation. Six of these methods distinguish between change in observed measurements (observed change) and change in the construct that was intended to be measured (target change). The methods use either (sub)group-based or individual-level analysis, or a combination. All methods have underlying assumptions to be met and alternative explanations for the inferred response shift effects. We highlighted the need to address the interpretation of the results as response shift and proposed advancing new methods handling individual variation in change over time and multiple time points.

Conclusion

No single response shift method is optimal; each method has strengths and limitations. Additionally, extra steps need to be taken to correctly interpret the results. Advancing new methods and conducting computer simulation studies that compare methods are recommended to move response shift research forward.

Supplementary Information

The online version of this article (10.1007/s11136-020-02755-4) contains supplementary material, which is available to authorized users.

Measuring capabilities in health and physical activity promotion: a systematic review

BACKGROUND

The capability approach by Amartya Sen and Martha Nussbaum has gained increasing attention in the field of public health. As it combines individual, social and structural factors and shifts the focus of attention from the actual behavior towards available options for health behaviors that people can actually choose from, it may help advance our understanding of complex health issues.

OBJECTIVES

The aim of this article is to identify and describe tools available to measure capabilities within the context of health, with a specific focus on capabilities for health-enhancing physical activity.

METHOD

We conducted a systematic literature review using 11 databases covering scientific journal articles published in English or German between the years 2000 and 2020 with a focus on capabilities for health or physical activity.

RESULTS

We found a total of 51 articles meeting our inclusion criteria. Four articles measured capabilities using qualitative methods, one combined qualitative and quantitative methods, while the rest used quantitative methods. We identified a total 11 different capability questionnaires, all showing moderate to good validity/reliability. Only one questionnaire and one interview-based tool specifically dealt with capabilities for health enhancing physical activity.

CONCLUSION

Although we were able to identify measurement tools for capabilities in health, this review has shown that there is no generic tool available for the measurement across all population- and age-groups, and tools focusing on physical activity are scarce. However, our results can be used as guide for future projects that aim at measuring capabilities.

[Digital health literacy-conceptual contextualization, measurement, and promotion]

The concept of digital health literacy can be regarded as the result of the increasing social permeation of digital media and their use in everyday life. Due to increasing accessibility and ubiquity, there is an increasing need not only for searching and finding, but especially for assessing the reliability as well as selecting and applying health information for one's own health concerns. In the context of digitization, it needs to be emphasized that users are not just passive recipients, but rather actively participate in the communication process by interacting with existing content or by sharing their own health-related information.With particular focus on children and adolescents, this paper provides an overview of the current state of research on digital health literacy. In addition to its terminological and conceptual foundations and its links with media literacy, the relationship between digital health literacy and social and health inequality is discussed. Inequalities are not only generated by access to digital media but, above all, by the skills required for their use. After an overview of available instruments is provided, initial reflections on how to promote the individual and structural dimension of digital health literacy with focus on school settings is given.

The Unique Challenge of Articulating the Behavior Analysts' Ethical Obligations and the Case of Punishment

There is a long-standing debate about the place for technical versus colloquial language in applied behavior analysis; however, this debate has yet to be considered within the context of a professional code of ethics for applied behavior analysts. In this article we discuss the limitations of technical language in articulating the applied behavior analyst's ethical commitments, illustrating this point by considering the use of the term punishment in the Professional and Ethical Compliance Code for Behavior Analysts (Behavior Analyst Certification Board, 2016). The ethical concerns regarding the use of punishment may be more accurately stated in terms of the need to avoid techniques that cause pain or discomfort rather than techniques that meet the technical definition of punishment. In summary, more consideration should be given to the use of subjective terminology in behavior analysts' ethical discussions.

Central sensitization in chronic pain and medically unexplained symptom research: A systematic review of definitions, operationalizations and measurement instruments

OBJECTIVE

Central sensitization (CS), a mechanism explaining the persistence of symptoms, has been the focus of many research projects. Explanations given to patients with chronic pain are often based on this mechanism. It is hypothesized that CS also plays an important role in the persistence of medically unexplained symptoms (MUS). However, definitions and operationalizations of CS vary. We conducted a systematic review of definitions, operationalizations and measurement instruments of CS.

METHODS

We searched in PubMed, EMBASE, PsycINFO, Cinahl and The Cochrane Library till September 2017 and included papers that addressed CS in relation to chronic pain and/or MUS. Two reviewers independently selected, analysed and classified information from the selected publications. We performed a thematic analysis of definitions and operationalizations. We listed the measurement instruments.

RESULTS

We included 126 publications, 79 publications concerned chronic pain, 47 publications concerned MUS. Definitions of CS consistently encompass the theme hyperexcitability of the central nervous system (CNS). Additional themes are variably present: CNS locations, nature of sensory input, reduced inhibition and activation and modulation of the NDMA receptor. Hyperalgesia and allodynia are widely mentioned as operationalizations of CS. Quantitative sensory testing (QST) and (f)MRI are the most reported measurement instruments.

CONCLUSIONS

There is consensus that hyperexcitability is the central mechanism of CS. Operationalizations are based on this mechanism and additional components. There are many measurement instruments available, whose clinical value has still to be determined. There were no systematic differences in definitions and operationalizations between the publications addressing MUS and those addressing chronic pain.

Developing an assessment of epistemic trust: a research protocol

Epistemic trust (ET) describes the willingness to accept new information from another person as trustworthy, generalizable, and relevant. It has been recently proposed that a pervasive failure to establish epistemic trust may underpin personality disorders. Although the introduction of the concept of ET has been inspiring to clinicians and is already impacting the field, the idea that there may be individual differences in ET has yet to be operationalized and tested empirically. This report illustrates the development of an Epistemic trust assessment and describes the protocol for its validation. The sample will include 60 university students. The Trier Social Stress Test for Groups will be administered to induce a state of uncertainty and stress, thereby increasing the relevance of information for the participants. The experiment will entail asking information from the participants about their performance and internal states during a simulated employment interview, and then tracking how participants are able to revise their own judgments about themselves in light of the feedback coming from an expert committee. To control for social desirability and personality disorder traits, the short scale for social desirability (Kurzskala Soziale Erwunschtheit-Gamma) and the Inventory of Personality Organization are utilized. After the procedure, the participants will complete an app-based Epistemic trust questionnaire (ETQ) app. Confirmatory Factor Analysis will be utilized to investigate the structure and dimensionality of the ETQ, and ANOVAs will be used to investigate mean differences within and between persons for ET scores by item category. This study operationalizes a newly developed ET paradigm and provides a framework for the investigation of the theoretical assumptions about the connection of ET and personality functioning.

Conceptualization, operationalization, and content validity of the EQOL-questionnaire measuring quality of life and participation for persons with disabilities

BACKGROUND

Measurement of quality of life demands thoroughly developed and validated instruments. The development steps from theory to concepts and from empirical data to items are sparsely described in the literature of questionnaire development. Furthermore, there seems to be a need for an instrument measuring quality of life and participation in a population with diverse disabilities. The aim of this paper was to present and discuss the initial steps in the development of the Electronic Quality of Life questionnaire (EQOL).

METHODS

The development of EQOL included six steps: 1) Establishing conceptual understanding; 2) Development of interview guides which build on the conceptual understanding; 3) Qualitative interviews of 55 participants (10-40 years old) with different types and severities of disabilities; 4) Conceptualization of domains identified in the qualitative data through thematic analysis; 5) Operationalization of the identified domains into items and; 6) Evaluation of content validity of the first version of the EQOL-measure. Content validity was examined by cognitive interviews with participants in the target group as well as by continuous feedback from an advisory board.

RESULTS

We identified six domains (function and health, environment (physical and social), social network, wellbeing, occupation, and managing strategies) based on themes derived from the qualitative interviews and on conceptual discussions within the author group. These domains were incorporated in a conceptual model and items were generated to measure the content of each domain. Participants expressed satisfaction with EQOL but most participants felt that there were too many items.

CONCLUSIONS

In total, 191 items were included in the questionnaire. Participants felt that the EQOL-questionnaire was relevant to their quality of life and participation. We have shown that it is possible to include quality of life and participation for people with various disabilities in one instrument. Although capturing less detail than a condition specific instrument, EQOL includes aspects perceived important for people with disabilities who are not included in general surveys. This is relevant when for example evaluating environmental adaptations and when comparing populations with various disabilities.

A proposed conceptualization of therapeutic competence: the three level model

A model of therapeutic competence that equally satisfies the requirements of practice and research is still lacking. The existing models are not widely accepted, at least partially because the postulated competences can often not be operationalized in a satisfactory manner. Yet, in order to be measurable, therapeutic competences need to be operationalized. We present the Three Level Model of Therapeutic Competence as a working model for studying therapeutic competence. The model proposes that therapeutic competence develops based on rather stable individual Dispositions, which promote the acquisition of therapeutic competences. We further distinguish between Basic Competences, which are mostly independent of the theoretical orientation of the therapeutic approach, and Specific Competences, which are defined based on the theoretical underpinnings of a therapeutic orientation (e.g. Cognitive Behavioral Therapy). We describe this model and outline how it can be used to operationalize and assess therapeutic competence.

Implementation of subjective cognitive decline criteria in research studies

INTRODUCTION

Subjective cognitive decline (SCD) manifesting before clinical impairment could serve as a target population for early intervention trials in Alzheimer's disease (AD). A working group, the Subjective Cognitive Decline Initiative (SCD-I), published SCD research criteria in the context of preclinical AD. To successfully apply them, a number of issues regarding assessment and implementation of SCD needed to be addressed.

METHODS

Members of the SCD-I met to identify and agree on topics relevant to SCD criteria operationalization in research settings. Initial ideas and recommendations were discussed with other SCD-I working group members and modified accordingly.

RESULTS

Topics included SCD inclusion and exclusion criteria, together with the informant's role in defining SCD presence and the impact of demographic factors.

DISCUSSION

Recommendations for the operationalization of SCD in differing research settings, with the aim of harmonization of SCD measurement across studies are proposed, to enhance comparability and generalizability across studies.

Operationalization of the Ghanaian Patients' Charter in a Peri-urban Public Hospital: Voices of Healthcare Workers and Patients

BACKGROUND

Health is a basic human right necessary for the exercise of other human rights. Every human being is, therefore, entitled to the highest possible standard of health necessary to living a life of dignity. Establishment of patients' Charter is a step towards protecting the rights and responsibilities of patients, but violation of patients' rights is common in healthcare institutions, especially in the developing world. This study which was conducted between May 2013 and May 2014, assessed the operationalization of Ghana's Patients Charter in a peri-urban public hospital.

METHODS

Qualitative data collection methods were used to collect data from 25 healthcare workers and patients who were purposively selected. The interview data were analyzed manually, using the principles of systematic text condensation.

RESULTS

The findings indicate that the healthcare staff of the Polyclinic are aware of the existence of the patients' Charter and also know some of its contents. Patients have no knowledge of the existence or the contents of the Charter. Availability of the Charter, community sensitization, monitoring and orientation of staff are factors that promote the operationalization of the Charter, while institutional implementation procedures such as lack of complaint procedures and low knowledge among patients militate against operationalization of the Charter.

CONCLUSION

Public health facilities should ensure that their patients are well-informed about their rights and responsibilities to facilitate effective implementation of the Charter. Also, patients' rights and responsibilities can be dramatized and broadcasted on television and radio in major Ghanaian languages to enhance awareness of Ghanaians on the Charter.

Governance in Health - The Need for Exchange and Evidence Comment on "Governance, Government, and the Search for New Provider Models"

Governance in health is cited as one of the key factors in balancing the concerns of the government and public sector with the interests of civil society/private players, but often remains poorly described and operationalized. Richard Saltman and Antonio Duran look at two aspects in the search for new provider models in a context of health markets signalling liberalisation: (i) the role of the government to balance public and private interests and responsibilities in delivering care through modernised governance arrangements, and (ii) the finding that operational complexities may hinder well-designed provider governance models, unless governance reflects country-specific realities. This commentary builds on the discussion by Saltman and Duran, and argues that the concept of governance needs to be clearly defined and operationalized in order to be helpful for policy debate as well as for the development of an applicable framework for performance improvement. It provides a working definition of governance and includes a reflection on the prevailing cultural norms in an organization or society upon which any governance needs to be build. It proposes to explore whether the "evidence-based governance" concept can be introduced to generate knowledge about innovative and effective governance models, and concludes that studies similar to the one by Saltman and Duran can inform this debate.

Maintenance of physical activity: Do we know what we are talking about?

Objective

Physical activity has to be performed regularly in order to achieve long-term health benefits. Studying the maintenance of physical activity and comparing study results requires a shared descriptive definition and a derived operationalization. Both are still lacking. The goal of this article is to briefly summarize how "maintenance of physical activity" is used in the scientific literature. Further, a descriptive definition and its operational application are introduced.

Method

A rapid literature search was completed in order to summarize the different concepts and usages of the term “maintenance of physical activity.”

Results

"Maintenance of physical activity" is used and defined in different ways. All of them have strengths and weaknesses. An approach that respects the volatility of physical activity is lacking. That’s why the lapse–recovery relationship is introduced.

Conclusion

People’s physical activity volume is often volatile, which is crucial for defining and assessing "maintenance of physical activity". The lapse–recovery relationship is an individual-centered approach respecting this volatility. It refers to an intentionally changed behavior and uses lapses and recoveries as indicators to operationalize the maintenance of physical activity.