Tracking the Development of Community Engagement Over Time: Realist Qualitative Study.

BACKGROUND: A growing interest in engaging communities in the development of health care services and communities has not automatically led to progress or consensus as to how to engage communities successfully, despite the evidence base showing how to leverage enablers and alleviate barriers. OBJECTIVE: To bridge the gap between the evidence base and which community engagement (CE) approaches have actually been applied in practice over time, this study aims to investigate how CE approaches have changed over the past 4 years in 6 different regions in the Netherlands and citizens' and professionals' experiences underlying these changes. METHODS: For the last stage of a multiple case study following the development of CE approaches in 6 different regions in the Netherlands, a realist qualitative case study was conducted. To investigate how CE approaches had changed over the past 4 years, data from the entire 4 years of the study were used, including documents, interview transcripts, and observations. To examine citizens' and professionals' experiences underlying these changes, new interviews were conducted. The latest interview results were discussed with a panel to ensure the results had face validity. RESULTS: The regions had implemented different types of CE approaches over the past 4 years and were adapting these approaches over time. Many of the (remaining) approaches may be operating on a smaller scale. The study identified the following overarching themes along which CE had been adapted: fewer region-wide approaches and more community-focused approaches, more focus on building relationships with (already engaged) citizens and community-led initiatives, and more focus on practical and tangible health promotion and social cohesion activities and less focus on complex "abstract" programs. The study identified a further 4 overarching themes highlighting citizens' and professionals' experiences underlying these changes in the CE approaches: a lack of engagement environment, need for facilitative leadership from organizations, need for a clear and shared vision underscoring the importance of CE, and misalignment between citizens' and professionals' perspectives and motivations for CE. All participants had experienced the engagement environment as insufficient. To support CE, professionals experienced the need to develop and receive more facilitative leadership and to develop approaches better equipped to involve citizens in the decision-making process. Citizens experienced the need to better align citizens' and professionals' motivations and aims for CE approaches and to receive longer-term financial support for their community-led initiatives. CONCLUSIONS: This study suggests that CE has not yet been embedded within organizational cultures. This has arguably meant that the (remaining) CE approaches are operating on a smaller scale. To enable the further development of CE approaches, an investment in the engagement environment and a shared vision is required. Only then could CE within the regions move beyond the more seemingly smaller-scale CE approaches.

Conceptualizing learning health systems: A mapping review.

Introduction: Health systems worldwide face the challenge of increasing population health with high-quality care and reducing health care expenditure growth. In pursuit for a solution, regional cross-sectoral partnerships aim to reorganize and integrate services across public health, health care and social care. Although the complexity of regional partnerships demands an incremental strategy, it is yet not known how learning works within these partnerships. To understand learning in regional cross-sectoral partnerships for health, this study aims to map the concept Learning Health System (LHS). Methods: This mapping review used a qualitative text analysis approach. A literature search was conducted in Embase and was limited to English-language papers published in the period 2015-2020. Title-abstract screening was performed using established exclusion criteria. During full-text screening, we combined deductive and inductive coding. The concept LHS was disentangled into aims, design elements, and process of learning. Data extraction and analysis were performed in MAX QDA 2020. Results: In total, 155 articles were included. All articles used the LHS definition of the Institute of Medicine. The interpretation of the concept LHS varied widely. The description of LHS contained 25 highly connected aims. In addition, we identified nine design elements. Most elements were described similarly, only the interpretation of stakeholders, data infrastructure and data varied. Furthermore, we identified three types of learning: learning as 1) interaction between clinical practice and research; 2) a circular process of converting routine care data to knowledge, knowledge to performance; and performance to data; and 3) recurrent interaction between stakeholders to identify opportunities for change, to reveal underlying values, and to evaluate processes. Typology 3 was underrepresented, and the three types of learning rarely occurred simultaneously. Conclusion: To understand learning within regional cross-sectoral partnerships for health, we suggest to specify LHS-aim(s), operationalize design elements, and choose deliberately appropriate learning type(s).

Engaging citizens in local health policymaking. A realist explorative case-study.

BACKGROUND: Municipalities have been trying to involve citizens as citizen participation is thought to improve municipalities' accountability, the quality of services, and to align policies and services to communities' needs. This study examined citizens' participation preferences in policymaking by investigating their health policy priorities, expectations of involvement, and required support. METHODS: For this case-study the realist evaluation approach was applied to focus groups with citizens and to a workshop with a local panel consisting of professionals, citizens and citizen representatives. RESULTS: This study showed that citizens want to be involved in (health) policymaking with the aim of improving their communities' quality of life and living environment and prioritised local services and amenities (e.g. suitable housing, public transport, health and care services). Instead, professionals' priorities were focussed on singular public health issues related to prevention and lifestyle factors. The results also show that citizens felt responsible for driving citizen participation and representing community needs to the municipality, but needed the municipality to improve their communication and accessibility in order to do so successfully. Furthermore, the professionals on the panel indicated that they needed training on how to reach out to citizens. Such training should highlight how to better align their language to citizens' lived experiences. They also wanted their organisations to provide more space, flexibility and resources to build relationships with citizens in order to provide improved communication and accessibility to citizens. CONCLUSION: The difference in priorities between citizens and professionals highlights the importance of involving citizens in policymaking. Moreover, citizens' involvement can act as a lever for change to bring a wider range of services and policy sectors together and has the potential to better align policies to citizens' lived experiences and hopefully increase the democratic legitimacy of policymaking. However, to fulfil such potential municipalities will need to invest in improving their accessibility and communication with communities.

'They need to ask me first'. Community engagement with low-income citizens. A realist qualitative case-study.

BACKGROUND: Community engagement is seen as key to citizen-centred and sustainable healthcare systems as involving citizens in the designing, implementation and improvement of services and policies is thought to tailor these more closely to communities' own needs and experiences. Organizations have struggled to reach out to and involve disadvantaged citizens. This paper examines how if, why, and when low-income citizens wish to be involved. METHODS: For this qualitative realist case-study, 19 interviews (one dyad) were held with (20) low-income citizens in two Dutch municipalities. Additionally, the results were discussed with a reference panel consisting of professionals and citizens to enrich the results and to ensure the results had face validity. RESULTS: The results showed four different ways in which low-income citizens wished to be involved: (a) in a practical/volunteer way; (b) as a buddy; (c) as a lay expert; (d) not involved at all. The factors affecting citizens' interest and capacity to participate include citizens' own experiences of the services they access and their personal situations, e.g. their mental or physical health, extent of financial crisis, family situation, home environment. None of the interviewees was currently involved, but all had ideas for improving health(care) services and policies. Citizens' experiences of the services they accessed acted as a motivator for some to be involved as they wanted to ensure others would not have the same struggles, while for others their own needs and an apathetic system remained too high a barrier. To enable involvement, citizens need continued support for their own health(care) and financial situation, better communication and accessibility from services, practical support (e.g., training and bus passes) and recognition for their input (e.g., monetary compensation). CONCLUSION: The study shows that citizens' experiences of the services they accessed influenced if and how they wanted to be involved with health and care services. Despite the fact that all participants had shared solid ideas for improving services and policies, they were hindered by a bureaucratic, impersonal and inaccessible system. Organizations seem to underestimate the required investments to reach out to low-income citizens and the support required to ensure their involvement. PATIENT AND PUBLIC INVOLVEMENT (PPI) IN STUDY: Citizens as well as PPI organizations were members of the reference panel who helped formulate the research questions and recruitment strategy. The local reference panel also helped to interpret and refine the initial findings.

Cross-Sector Collaboration for a Healthy Living Environment-Which Strategies to Implement, Why, and in Which Context?

BACKGROUND: Working toward a healthy living environment requires organizations from different policy domains and nongovernment partners involved in public health and the living environment to collaborate across sectors. The aim of this study is to understand how this cross-sector collaboration for a healthy living environment can be achieved. METHODS: The realist evaluation approach was used to investigate what strategies can be used in which contexts to achieve cross-sector collaboration. The "Collaborative Adaptive Health Networks" framework was used as a theoretical framework. Seventeen partners of three Dutch projects collaborating for a healthy living environment in different regions were interviewed about their experiences during the initiating phase of their projects. RESULTS: Seven themes for achieving cross-sector collaboration were identified, namely creating a feeling of equivalence, building trust, bridging different perspectives, providing clarity regarding roles and tasks, creating commitment, creating active engagement, and understanding whom to engage and when. For each theme, the strategies that were used, and why, were specified. CONCLUSION: This study provides new insights in how cross-sector collaboration for a healthy living environment can be achieved in different contexts. Whether the start of a cross-sectoral collaboration is successful is largely influenced by the choice of leadership and the interorganizational relations.

Implementing population health management: an international comparative study.

PURPOSE: The purpose of this paper is to gain insight into how population health management (PHM) strategies can successfully integrate and reorganize public health, health care, social care and community services to improve population health and quality of care while reducing costs growth, this study compared four large-scale transformation programs: Greater Manchester Devolution, Vancouver Healthy City Strategy, Gen-H Cincinnati and Gesundes Kinzigtal. DESIGN/METHODOLOGY/APPROACH: Following the realist methodology, this explorative comparative case-study investigated PHM initiatives' key features and participants' experiences of developing such initiatives. A semi-structured interview guideline based on a theoretical framework for PHM guided the interviews with stakeholders (20) from different sectors. FINDINGS: Five initial program theories important to the development of PHM were formulated: (1) create trust in a shared vision and understanding of the PHM rationale to establish stakeholders' commitment to the partnership; (2) create shared ownership for achieving the initiative's goals; (3) create shared financial interest that reduces perceived financial risks to provide financial sustainability; (4) create a learning environment to secure initiative's credibility and (5) create citizens' and professionals' awareness of the required attitudes and behaviours. ORIGINALITY/VALUE: The study highlights initial program theories for the implementation of PHM including different strategies and structures underpinning the initiatives. These insights provide a deeper understanding of how large-scale transformation could be developed.

Reorganizing and integrating public health, health care, social care and wider public services: a theory-based framework for collaborative adaptive health networks to achieve the triple aim.

OBJECTIVE: Population health management (PHM) refers to large-scale transformation efforts by collaborative adaptive health networks that reorganize and integrate services across public health, health care, social care and wider public services in order to improve population health and quality of care while at the same time reducing cost growth. However, a theory-based framework that can guide place-based approaches towards a comprehensive understanding of how and why strategies contribute to the development of PHM is lacking, and this review aims to contribute to closing this gap by identifying the key components considered to be key to successful PHM development. METHODS: We carried out a scoping realist review to identify configurations of strategies (S), their outcomes (O), and the contextual factors (C) and mechanisms (M) that explain how and why these outcomes were achieved. We extracted theories put forward in included studies and that underpinned the formulated strategy-context-mechanism-outcome (SCMO) configurations. Iterative axial coding of the SCMOs and the theories that underpin these configurations revealed PHM themes. RESULTS: Forty-one studies were included. Eight components were identified: social forces, resources, finance, relations, regulations, market, leadership, and accountability. Each component consists of three or more subcomponents, providing insight into (1) the (sub)component-specific strategies that accelerate PHM development, (2) the necessary contextual factors and mechanisms for these strategies to be successful and (3) the extracted theories that underlie the (sub)component-specific SCMO configurations. These theories originate from a wide variety of scientific disciplines. We bring these (sub)components together into what we call the Collabroative Adaptive Health Network (CAHN) framework. CONCLUSIONS: This review presents the strategies that are required for the successful development of PHM. Future research should study the applicability of the CAHN framework in practice to refine and enrich identified relationships and identify PHM guiding principles.

Measuring Regional Quality of Health Care Using Unsolicited Online Data: Text Analysis Study.

BACKGROUND: Regional population management (PM) health initiatives require insight into experienced quality of care at the regional level. Unsolicited online provider ratings have shown potential for this use. This study explored the addition of comments accompanying unsolicited online ratings to regional analyses. OBJECTIVE: The goal was to create additional insight for each PM initiative as well as overall comparisons between these initiatives by attempting to determine the reasoning and rationale behind a rating. METHODS: The Dutch Zorgkaart database provided the unsolicited ratings from 2008 to 2017 for the analyses. All ratings included both quantitative ratings as well as qualitative text comments. Nine PM regions were used to aggregate ratings geographically. Sentiment analyses were performed by categorizing ratings into negative, neutral, and positive ratings. Per category, as well as per PM initiative, word frequencies (ie, unigrams and bigrams) were explored. Machine learning-naïve Bayes and random forest models-was applied to identify the most important predictors for rating overall sentiment and for identifying PM initiatives. RESULTS: A total of 449,263 unsolicited ratings were available in the Zorgkaart database: 303,930 positive ratings, 97,739 neutral ratings, and 47,592 negative ratings. Bigrams illustrated that feeling like not being "taken seriously" was the dominant bigram in negative ratings, while bigrams in positive ratings were mostly related to listening, explaining, and perceived knowledge. Comparing bigrams between PM initiatives showed a lot of overlap but several differences were identified. Machine learning was able to predict sentiments of comments but was unable to distinguish between specific PM initiatives. CONCLUSIONS: Adding information from text comments that accompany online ratings to regional evaluations provides insight for PM initiatives into the underlying reasons for ratings. Text comments provide useful overarching information for health care policy makers but due to a lot of overlap, they add little region-specific information. Specific outliers for some PM initiatives are insightful.

How executives' expectations and experiences shape population health management strategies.

BACKGROUND: Within Population Health Management (PHM) initiatives, stakeholders from various sectors apply PHM strategies, via which services are reorganised and integrated in order to improve population health and quality of care while reducing cost growth. This study unravelled how stakeholders' expectations and prior experiences influenced stakeholders intended PHM strategies. METHODS: This study used realist principles. Nine Dutch PHM initiatives participated. Seventy stakeholders (mainly executive level) from seven different stakeholder groups (healthcare insurers, hospitals, primary care groups, municipalities, patient representative organisations, regional businesses and program managers of the PHM initiatives) were interviewed. Associations between expectations, prior experiences and intended strategies of the various stakeholder groups were identified through analyses of the interviews. RESULTS: Stakeholders' expectations, their underlying explanations and intended strategies could be categorized into four themes: 1. Regional collaboration; 2. Governance structures and stakeholder roles; 3. Regional learning environments, and 4. Financial and regulative conditions. Stakeholders agreed on the long-term expectations of PHM development. Differences in short- and middle-term expectations, and prior experiences were identified between stakeholder groups and within the stakeholder group healthcare insurers. These differences influenced stakeholders' intended strategies. For instance, healthcare insurers that intended to stay close to the business of care had encountered barriers in pushing PHM e.g. lack of data insight, and expected that staying in control of the purchasing process was the best way to achieve value for money. Healthcare insurers that were more keen to invest in experiments with data-technology, new forms of payment and accountability had encountered positive experiences in establishing regional responsibility and expected this to be a strong driver for establishing improvements in regional health and a vital and economic competitive region. CONCLUSION: This is the first study that revealed insight into the differences and similarities between stakeholder groups' expectations, experiences and intended strategies. These insights can be used to improve the pivotal cooperation within and between stakeholder groups for PHM.

Barriers to payment reform: Experiences from nine Dutch population health management sites.

Population health management (PHM) initiatives aim for better population health, quality of care and reduction of expenditure growth by integrating and optimizing services across domains. Reforms shifting payment of providers from traditional fee-for-service towards value-based payment models may support PHM. We aimed to gain insight into payment reform in nine Dutch PHM sites. Specifically, we investigated 1) the type of payment models implemented, and 2) the experienced barriers towards payment reform. Between October 2016 and February 2017, we conducted 36 (semi-)structured interviews with program managers, hospitals, insurers and primary care representatives of the sites. We addressed the structure of payment models and barriers to payment reform in general. After three years of PHM, we found that four shared savings models for pharmaceutical care and five extensions of existing (bundled) payment models adding providers into the model were implemented. Interviewees stated that reluctance to shift financial accountability to providers was partly due to information asymmetry, a lack of trust and conflicting incentives between providers and insurers, and last but not least a lack of a sense of urgency. Small steps to payment reform have been taken in the Dutch PHM sites, which is in line with other international PHM initiatives. While acknowledging the autonomy of PHM sites, governmental stewardship (e.g. long-term vision, supporting knowledge development) can further stimulate value-based payment reforms.

Measuring Population Health from a Broader Perspective: Assessing the My Quality of Life Questionnaire.

INTRODUCTION: Population health perspectives increasingly focus on people's perception of resilience, ability to adapt and self-manage. The goal of this study is to determine whether the MijnKwaliteitVanLeven.nl ("MyQualityOfLife.nl") survey is a valid and reliable instrument for assessing the broader health perspectives at population level. METHODS: 19,809 entries of the MyQualityOfLife.nl survey were used. To assess face validity, Huber's six dimensions of positive health were used as a framework for expert feedback. A confirmative factor analyses was done using the expert's item clustering, followed by data-driven explorative factor analyses and reliability tests. RESULTS: Experts distributed 74 of the 118 items over all six dimensions of positive health. The confirmatory factor analysis model based on expert classification was not confirmed. The subsequent exploratory factor analysis excluded most items based on factor loading and suggested two factors; 'quality of life' and 'daily functioning', both showing excellent reliability. CONCLUSION: The MyQualityOfLife.nl survey can assess the broader concept of health in a population as well as 'quality of life' and 'daily functioning'. However, the survey can currently not evaluate several of the positive health dimensions separately. Further research is needed to determine whether this is due to the instrument or the positive health dimensions.

Harvesting the wisdom of the crowd: using online ratings to explore care experiences in regions.

BACKGROUND: Regional population health management (PHM) initiatives need an understanding of regional patient experiences to improve their services. Websites that gather patient ratings have become common and could be a helpful tool in this effort. Therefore, this study explores whether unsolicited online ratings can provide insight into (differences in) patient's experiences at a (regional) population level. METHODS: Unsolicited online ratings from the Dutch website Zorgkaart Nederland (year = 2008-2017) were used. Patients rated their care providers on six dimensions from 1 to 10 and these ratings were geographically aggregated based on nine PHM regions. Distributions were explored between regions. Multilevel analyses per provider category, which produced Intraclass Correlation Coefficients (ICC), were performed to determine clustering of ratings of providers located within regions. If ratings were clustered, then this would indicate that differences found between regions could be attributed to regional characteristics (e.g. demographics or regional policy). RESULTS: In the nine regions, 70,889 ratings covering 4100 care providers were available. Overall, average regional scores (range = 8.3-8.6) showed significant albeit small differences. Multilevel analyses indicated little clustering between unsolicited provider ratings within regions, as the regional level ICCs were low (ICC pioneer site < 0.01). At the provider level, all ICCs were above 0.11, which showed that ratings were clustered. CONCLUSIONS: Unsolicited online provider-based ratings are able to discern (small) differences between regions, similar to solicited data. However, these differences could not be attributed to the regional level, making unsolicited ratings not useful for overall regional policy evaluations. At the provider level, ratings can be used by regions to identify under-performing providers within their regions.

Population health management guiding principles to stimulate collaboration and improve pharmaceutical care.

Purpose A range of strategies to improve pharmaceutical care has been implemented by population health management (PHM) initiatives. However, which strategies generate the desired outcomes is largely unknown. The purpose of this paper is to identify guiding principles underlying collaborative strategies to improve pharmaceutical care and the contextual factors and mechanisms through which these principles operate. Design/methodology/approach The evaluation was informed by a realist methodology examining the links between PHM strategies, their outcomes and the contexts and mechanisms by which these strategies operate. Guiding principles were identified by grouping context-specific strategies with specific outcomes. Findings In total, ten guiding principles were identified: create agreement and commitment based on a long-term vision; foster cooperation and representation at the board level; use layered governance structures; create awareness at all levels; enable interpersonal links at all levels; create learning environments; organize shared responsibility; adjust financial strategies to market contexts; organize mutual gains; and align regional agreements with national policies and regulations. Contextual factors such as shared savings influenced the effectiveness of the guiding principles. Mechanisms by which these guiding principles operate were, for instance, fostering trust and creating a shared sense of the problem. Practical implications The guiding principles highlight how collaboration can be stimulated to improve pharmaceutical care while taking into account local constraints and possibilities. The interdependency of these principles necessitates effectuating them together in order to realize the best possible improvements and outcomes. Originality/value This is the first study using a realist approach to understand the guiding principles underlying collaboration to improve pharmaceutical care.

How to Measure Population Health: An Exploration Toward an Integration of Valid and Reliable Instruments.

Population health management initiatives are introduced to transform health and community services by implementing interventions that combine various services and address the continuum of health and well-being of populations. Insight is required into a population's health to evaluate implementation of these initiatives. This study aims to determine the performance of commonly used instruments for measuring a population's experienced health and explores the assessed concepts of population health. Survey-based Short Form 12, version 2 (SF12, health status), Patient Activation Measure 13 (PAM13), and Kessler 10 (K10, psychological distress) data of 3120 respondents was used. Floor/ceiling effects were studied using descriptive statistics. Validity was assessed using factor and discriminant analyses, and reliability was assessed using Cronbach α. Finally, to study covered concepts, exploratory factor analyses (EFAs) were conducted, which included additional surveyed characteristics. The SF12 and PAM13 sum scores showed acceptable averages and distributions, while results of the K10 indicated a floor effect. SF12 and K10 measured their expected constructs, while PAM13 did not. The EFA of PAM13 displayed 1 instead of the expected 4 constructs. Reliability was good for all instruments (α 0.89-0.93). The overall EFA identified 4 concepts: mental, physical ability, lifestyle, and self-management. SF12 and PAM13, combined with lifestyle characteristics, are shown to provide insightful information to measure the physical, mental, lifestyle, and self-management concepts of population health. Future research should include additional instruments that cover new aspects introduced by recent definitions of health.

Comparing the Health of Populations: Methods to Evaluate and Tailor Population Management Initiatives in the Netherlands.

Health care no longer focuses solely on patients and increasingly emphasizes regions and their populations. Strategies, such as population management (PM) initiatives, aim to improve population health and well-being by redesigning health care and community services. Hence, insight into population health is needed to tailor interventions and evaluate their effects. This study aims to assess whether population health differs between initiatives and to what extent demographic, personal, and lifestyle factors affect these differences. A population health survey that included the Short Form 12 version 2 (SF12, physical and mental health status), Patient Activation Measure 13 (PAM13), and demographic, personal, and lifestyle factors was administered in 9 Dutch PM initiatives. Potential confounders were determined by comparing these factors between PM initiatives using analyses of variance and chi-square tests. The influence of these potential confounders on the health outcomes was studied using multivariate linear regression. Age, education, origin, employment, body mass index, and smoking were identified as potential confounders for differences found between the 9 PM initiatives. Each had a noteworthy influence on all of the instruments' scores. Not all health differences between PM initiatives were explained, as the SF12 outcomes still differed between PM initiatives once corrected. For the PAM13, the differences were no longer significant. Demographic and lifestyle factors should be included in the evaluation of PM initiatives and population health differences found can be used to tailor initiatives. Other factors beyond health care (eg, air quality) should be considered to further refine the tailoring and evaluation of PM initiatives.

Use of electronic medical records and quality of patient data: different reaction patterns of doctors and nurses to the hospital organization.

BACKGROUND: As the implementation of Electronic Medical Records (EMRs) in hospitals may be challenged by different responses of different user groups, this paper examines the differences between doctors and nurses in their response to the implementation and use of EMRs in their hospital and how this affects the perceived quality of the data in EMRs. METHODS: Questionnaire data of 402 doctors and 512 nurses who had experience with the implementation and the use of EMRs in hospitals was analysed with Multi group Structural equation modelling (SEM). The models included measures of organisational factors, results of the implementation (ease of use and alignment of EMR with daily routine), perceived added value, timeliness of use and perceived quality of patient data. RESULTS: Doctors and nurses differ in their response to the organisational factors (support of IT, HR and administrative departments) considering the success of the implementation. Nurses respond to culture while doctors do not. Doctors and nurses agree that an EMR that is easier to work with and better aligned with their work has more added value, but for the doctors this is more pronounced. The doctors and nurses perceive that the quality of the patient data is better when EMRs are easier to use and better aligned with their daily routine. CONCLUSIONS: The result of the implementation, in terms of ease of use and alignment with work, seems to affect the perceived quality of patient data more strongly than timeliness of entering patient data. Doctors and nurses value bottom-up communication and support of the IT department for the result of the implementation, and nurses respond to an open and innovative organisational culture.

Defining Population Health Management: A Scoping Review of the Literature.

Population health management (PHM) has increasingly been mentioned as a concept to realize improvements in population health and quality of care while reducing cost growth (the so-called Triple Aim). The concept of PHM has been used in various settings and has been defined in different ways. This study compared the definitions of PHM used in the literature in order to improve the understanding and interpretation of the concept of PHM. A scoping literature search was performed for papers published between January 2000 and January 2015 that defined PHM. PHM definitions were summarized, focusing on: (1) overall aim, (2) PHM activities, and (3) contextual factors. Eighteen articles were retrieved. The overall aim was defined in terms of health (N = 14), costs (N = 8), and/or quality of care (N = 10). Definitions varied regarding the description of PHM activities, though all definitions contained elements in common with disease management and health promotion. Data management, Triple Aim assessment, risk stratification, evaluation, and feedback cycles were less likely to be mentioned. Contextual factors were scarcely brought forward in the definitions. Moderate variations were found across definitions in the way PHM was conceptualized. Frequently, essential elements of PHM were not specified. Differences in conceptualizations of PHM should be taken into account when comparing PHM initiatives that are working toward improvements in population health, (experienced) quality of care, and reduction of costs.

Which Triple Aim related measures are being used to evaluate population management initiatives? An international comparative analysis.

INTRODUCTION: Population management (PM) initiatives are introduced in order to create sustainable health care systems. These initiatives should focus on the continuum of health and well-being of a population by introducing interventions that integrate various services. To be successful they should pursue the Triple Aim, i.e. simultaneously improve population health and quality of care while reducing costs per capita. This study explores how PM initiatives measure the Triple Aim in practice. METHOD: An exploratory search was combined with expert consultations to identify relevant PM initiatives. These were analyzed based on general characteristics, utilized measures and related selection criteria. RESULTS: In total 865 measures were used by 20 PM initiatives. All quality of care domains were included by at least 11 PM initiatives, while most domains of population health and costs were included by less than 7 PM initiatives. Although their goals showed substantial overlap, the measures applied showed few similarities between PM initiatives and were predominantly selected based on local priority areas and data availability. CONCLUSION: Most PM initiatives do not measure the full scope of the Triple Aim. Additionally, variety between measures limits comparability between PM initiatives. Consensus on the coverage of Triple Aim domains and a set of standardized measures could further both the inclusion of the various domains as well as the comparability between PM initiatives.

The impact of comorbid chronic conditions on quality of life in type 2 diabetes patients.

OBJECTIVE: To study the prevalence, impact and dose-response relationship of comorbid chronic conditions on quality of life of type 2 diabetes patients. RESEARCH DESIGN AND METHODS: Cross-sectional data of 1676 type 2 diabetes patients, aged 31-96 years, and treated in primary care, were analyzed. Quality of life (QoL) was measured using the mental component summary (MCS) and the physical component summary (PCS) scores of the Short Form-12. Diagnosis of type 2 diabetes was obtained from medical records and comorbidities from self-reports. RESULTS: Only 361 (21.5%) of the patients reported no comorbidities. Diabetes patients with comorbidities showed significantly lower mean difference in PCS [-8.5; 95% confidence interval (CI) -9.8 to -7.3] and MCS scores (-1.9; 95% CI -3.0 to -0.9), compared to diabetes patients without. Additional adjustments did not substantially change these associations. Both MCS and PCS scores decrease significantly with the number of comorbid conditions, yet most pronounced regarding physical QoL. Comorbidities that reduced physical QoL most significantly were retinopathy, heart diseases, atherosclerosis in abdomen or legs, lung diseases, incontinence, back, neck and shoulder disorder, osteoarthritis and chronic rheumatoid arthritis, using the backwards stepwise regression procedure. CONCLUSION: Comorbidities are highly prevalent among type 2 diabetes patients and have a negative impact on the patient's QoL. A strong dose-response relationship between comorbidities and physical QoL was found. Reduced physical QoL is mainly determined by musculoskeletal and cardiovascular disorders.