Population health management: Review of concepts and definitions

Assessing the Strengths and Weaknesses for Implementing a Place-Based Model of Care for Older People on the Central Coast, Australia: Results of a Pilot Project Using the Population Health Management Maturity Index (PHM-MI) Tool

Introduction

Population health management is increasingly being used to support place-based models of care. This case study provides an account of the use of the Population Health Management - Maturity Index (PHM-MI) tool to inform the future development of a neighbourhood model of care for older people in the Central Coast region of Australia.

Description

The PHM-MI tool comprises a set of six evidence-informed elements known to be important in enabling PHM in practice. As part of a joint strategic needs assessment, 17 selected stakeholders from key regional organizations were invited to undertake the PHM-MI tool survey. Three follow-up workshops were held to interpret the results and determine priority actions.

Discussion

The PHM-MI scores revealed that the overall maturity of the Central Coast to successfully deliver PHM was low across all six elements, findings that were corroborated through participant workshops. Systemic fragmentations, most pertinently of funding and regulation, incentivised silo-based working. The need to formalise and strengthen regional collaborations, enable data integration, find creative ways to use existing funding streams, and promote community engagement were highlighted as core priorities.

Conclusion

Using the PHM-MI tool was enabled by it being embedded within a pre-existing regional strategic process. The results were used to inform future regional priorities. The PHM-MI tool has the potential for use across regional or national contexts.

Promising algorithms to perilous applications: a systematic review of risk stratification tools for predicting healthcare utilisation

OBJECTIVES

Risk stratification tools that predict healthcare utilisation are extensively integrated into primary care systems worldwide, forming a key component of anticipatory care pathways, where high-risk individuals are targeted by preventative interventions. Existing work broadly focuses on comparing model performance in retrospective cohorts with little attention paid to efficacy in reducing morbidity when deployed in different global contexts. We review the evidence supporting the use of such tools in real-world settings, from retrospective dataset performance to pathway evaluation.

METHODS

A systematic search was undertaken to identify studies reporting the development, validation and deployment of models that predict healthcare utilisation in unselected primary care cohorts, comparable to their current real-world application.

RESULTS

Among 3897 articles screened, 51 studies were identified evaluating 28 risk prediction models. Half underwent external validation yet only two were validated internationally. No association between validation context and model discrimination was observed. The majority of real-world evaluation studies reported no change, or indeed significant increases, in healthcare utilisation within targeted groups, with only one-third of reports demonstrating some benefit.

DISCUSSION

While model discrimination appears satisfactorily robust to application context there is little evidence to suggest that accurate identification of high-risk individuals can be reliably translated to improvements in service delivery or morbidity.

CONCLUSIONS

The evidence does not support further integration of care pathways with costly population-level interventions based on risk prediction in unselected primary care cohorts. There is an urgent need to independently appraise the safety, efficacy and cost-effectiveness of risk prediction systems that are already widely deployed within primary care.

The association between population health management tools and clinician burnout in the United States VA primary care patient-centered medical home

BACKGROUND

Technological burden and medical complexity are significant drivers of clinician burnout. Electronic health record(EHR)-based population health management tools can be used to identify high-risk patient populations and implement prophylactic health practices. Their impact on clinician burnout, however, is not well understood. Our objective was to assess the relationship between ratings of EHR-based population health management tools and clinician burnout.

METHODS

We conducted cross-sectional analyses of 2018 national Veterans Health Administration(VA) primary care personnel survey, administered as an online survey to all VA primary care personnel (n = 4257, response rate = 17.7%), using bivariate and multivariate logistic regressions. Our analytical sample included providers (medical doctors, nurse practitioners, physicians' assistants) and nurses (registered nurses, licensed practical nurses). The outcomes included two items measuring high burnout. Primary predictors included importance ratings of 10 population health management tools (eg. VA risk prediction algorithm, recent hospitalizations and emergency department visits, etc.).

RESULTS

High ratings of 9 tools were associated with lower odds of high burnout, independent of covariates including VA tenure, team role, gender, ethnicity, staffing, and training. For example, clinicians who rated the risk prediction algorithm as important were less likely to report high burnout levels than those who did not use or did not know about the tool (OR 0.73; CI 0.61-0.87), and they were less likely to report frequent burnout (once per week or more) (OR 0.71; CI 0.60-0.84).

CONCLUSIONS

Burned-out clinicians may not consider the EHR-based tools important and may not be using them to perform care management. Tools that create additional technological burden may need adaptation to become more accessible, more intuitive, and less burdensome to use. Finding ways to improve the use of tools that streamline the work of population health management and/or result in less workload due to patients with poorly managed chronic conditions may alleviate burnout. More research is needed to understand the causal directional of the association between burnout and ratings of population health management tools.

Utilizing the arts to improve health, resilience, and well-being (HeRe We Arts®): a randomized controlled trial in community-dwelling individuals with chronic medical conditions

Background

Healthcare workers are concerned with promoting behavior changes that enhance patients' health, wellness, coping skills, and well-being and lead to improved public health. The purpose of this randomized controlled trial was to determine if participation in an 8-week arts-based program leads to improved mood, health, resilience, and well-being in individuals with chronic health conditions as compared to a wait list control group.

Methods

Self-report questionnaires for well-being, mental health, physical health, overall health, social health, mood, coping, and resilience were administered at baseline, Week 8 (end of program), and Week 16 (8-week follow-up).

Results

Statistically significant improvements were noted in all outcome measures for the treatment group, as well as in most areas compared to the control group. Many of the positive results at Week 8 were either maintained or further improved at Week 16.

Discussion

These results suggest that arts-based programming can have a positive effect on the mood, health, resilience, and well-being of individuals with chronic health conditions. Therefore, arts-based programming should be utilized more frequently in the management of chronic conditions in community-dwelling individuals. These benefits should be further assessed in larger clinical trials.

Assembling a population health management maturity index using a Delphi method

BACKGROUND

Although local initiatives commonly express a wish to improve population health and wellbeing using a population health management (PHM) approach, implementation is challenging and existing tools have either a narrow focus or lack transparency. This has created demand for practice-oriented guidance concerning the introduction and requirements of PHM.

METHODS

Existing knowledge from scientific literature was combined with expert opinion obtained using an adjusted RAND UCLA appropriateness method, which consisted of six Dutch panels in three Delphi rounds, followed by two rounds of validation by an international panel.

RESULTS

The Dutch panels identified 36 items relevant to PHM, in addition to the 97 items across six elements of PHM derived from scientific literature. Of these 133 items, 101 were considered important and 32 ambiguous. The international panel awarded similar scores for 128 of 133 items, with only 5 items remaining unvalidated. Combining literature and expert opinion gave extra weight and validity to the items.

DISCUSSION

In developing a maturity index to help assess the use and progress of PHM in health regions, input from experts counterbalanced a previous skewedness of item distribution across the PHM elements and the Rainbow Model of Integrated Care (RMIC). Participant expertise also improved our understanding of successful PHM implementation, as well as how the six PHM elements are best constituted in a first iteration of a maturity index. Limitations included the number of participants in some panels and ambiguity of language. Further development should focus on item clarity, adoption in practice and item interconnectedness.

CONCLUSION

By employing scientific literature enriched with expert opinion, this study provides new insight for both science and practice concerning the composition of PHM elements that influence PHM implementation. This will help guide practices in their quest to implement PHM.

Disentangling Population Health Management Initiatives in Diabetes Care: A Scoping Review

Introduction

Population Health Management (PHM) focusses on keeping the whole population as healthy as possible. As such, it could be a promising approach for long-term health improvement in type 2 diabetes. This scoping review aimed to examine the extent to which and how PHM is used in the care for people with type 2 diabetes.

Methods

PubMed, Web of Science, and Embase were searched between January 2000 and September 2021 for papers on self-reported PHM initiatives for type 2 diabetes. Eligible initiatives were described using the analytical framework for PHM.

Results

In total, 25 studies regarding 18 PHM initiatives for type 2 diabetes populations were included. There is considerable variation in whether and how the PHM steps are operationalized in existing PHM initiatives. Population identification, impact evaluation, and quality improvement processes were generally part of the PHM initiatives. Triple Aim assessment and risk stratification actions were scarce or explained in little detail. Moreover, cross-sector integration is key in PHM but scarce in practice.

Conclusion

Operationalization of PHM in practice is limited compared to the PHM steps described in the analytical framework. Extended risk stratification and integration efforts would contribute to whole-person care and further health improvements within the population.

Pilot Study of a Motivational Interviewing Training on Practitioners' Skill Set for Patient Centered Communication

PURPOSE

Increase practitioners' Motivational Interviewing (MI) skill set to develop intrinsic motivation and behavior change competencies.

DESIGN

Pilot comparing intervention group with waitlist-control group.

SETTING

Health Plan in northeast of U.S.

INTERVENTION

Training program including a 3 day 19 hour MI training intensive, 1.5 hour follow-up skill-building trainings, and quality assurance review using an MI assessment tool paired with strengths-based mentoring. Cohort 1 (experimental group) received the intervention for 6-months and cohort 2 for 3 months (control group).

MEASURES

Practitioners' MI skill set was assessed pre- and post-intervention using Motivational Interviewing Competency Assessment (MICA). Practitioners' MI knowledge and attitudes were assessed pre- and post-training using adapted Motivational Interviewing Knowledge and Attitudes Test (MIKAT). Active learning and confidence questionnaires were administered post-training.

ANALYSIS

A generalized linear mixed model with repeated measures to analyze difference in MICA growth rates; paired T-test for MIKAT pre/post training analysis. Descriptive statistics for active learning and confidence.

RESULTS

MICA scores significantly improved for both cohorts (P < .0001). Practitioners had significant increase in knowledge and attitudes for MI (P < .001) and confidence in using MI (P < .01). High levels of active learning were observed (93-100%).

CONCLUSION

With planning, adequate resources/support, and iterative processes for adjustment, practitioners can improve their MI skill set in a short period of time with modest investment of practitioner resources.

Delivery of public health interventions by the ambulance sector: a scoping review

BACKGROUND

With millions of unscheduled patient contacts every year and increasing call outs clustered around the most deprived communities, it is clear the ambulance sector could have a role to play in improving population health. However, the application and value of a public health approach within the ambulance sector has not been comprehensively explored. A scoping review was undertaken to explore the role of the ambulance sector in the delivery of public health interventions and what impact this has on population health and ambulance sector outcomes.

METHODS

A search strategy was developed on MEDLINE and translated to other major medical and health related bibliographic databases (Embase; CINAHL; HMIC; Science and Social Sciences Citation Index; Cochrane Library) to identify literature published since 2000 in OECD countries. Targeted grey literature, reference list, and citation searching was also carried out. Search results were downloaded to Microsoft Excel and screened by three reviewers according to pre-determined inclusion / exclusion criteria. Data from included studies, such as the type of activity noted within the paper, the population involved and the public health approach that was utilised, was extracted from within the paper using a data extraction form and narratively synthesised.

RESULTS

Fifty-two references were included in the final review (37 database searching; 9 reference list searching; 6 grey literature). Included articles were categorised according to the relevant public health domains and subdomains as articulated by the UK Faculty of Public Health: 1. Health improvement domain: Public health education and advice (Health promotion sub-domain) (n=13) Emergency Services personnel providing vaccines (Disease prevention sub-domain) (n=1) 2. Health care public health domain Paramedicine (Service delivery sub-domain) (n=30) Screening tools and referral pathways used by the ambulance sector (Service delivery sub-domain) (n=28) Health intelligence using ambulance sector data (population health management sub-domain) (n=26) Of note, some domains (e.g. health protection) returned nil results.

DISCUSSION

The scoping review demonstrates the breadth of public health related activities in which the ambulance sector is involved. However, an overemphasis on demand management outcomes precludes definitive conclusions on the impact of ambulance sector-led public health initiatives on public health outcomes. Future evaluations of public health initiatives should incorporate wider health system perspectives beyond the immediately apparent remit of the ambulance sector.

Interprofessional population health advocacy: Developing and implementing a panel management curriculum in five Veterans Administration primary care practices

Health care systems expect primary care clinicians to manage panels of patients and improve population health, yet few have been trained to do so. An interprofessional panel management (PM) curriculum is one possible strategy to address this training gap and supply future primary care practices with clinicians and teams prepared to work together to improve the health of individual patients and populations. This paper describes a Veterans Administration (VA) sponsored multi-site interprofessional PM curriculum development effort. Five VA Centers of Excellence in Primary Care Education collaborated to identify a common set of interprofessionally relevant desired learning outcomes (DLOs) for the PM and to develop assessment instruments for monitoring trainees' PM learning. Authors cataloged teaching and learning activities across sites. Results from pilot testing were systematically discussed leading to iterative revisions of curricular elements. Authors completed a retrospective self-assessment of curriculum implementation for the academic year 2015-16 using a 5-point scale: contemplation (score = 0), pilot (1), action (2), maintenance (3), and embedded (4). Implementation scores were analyzed using descriptive statistics. DLOs were organized into five categories (individual patients, populations, guidelines/measures, teamwork, and improvement) along with a developmental continuum and mapped to program competencies. Instruction and implementation varied across sites based on resources and priorities. Between 2015 and 2016, 159 trainees (internal medicine residents, nurse practitioner students and residents, pharmacy residents, and psychology post-doctoral fellows) participated in the PM curriculum. Curriculum implementation scores for guidelines/measures and improvement DLOs were similar for all trainees; scores for individual patients, populations, and teamwork DLOs were more advanced for nurse practitioner and physician trainees. In conclusion, collaboratively identified DLOs for PM guided development of assessment instruments and instructional approaches for panel management activities in interprofessional teams. This PM curriculum and associated tools provide resources for educators in other settings.

How to successfully implement population health management: a scoping review

BACKGROUND

Despite international examples, it is unclear for multisector initiatives which want to sustainably improve the health of a population how to implement Population Health Management (PHM) and where to start. Hence, the main purpose of this research is to explore current literature about the implementation of PHM and organising existing knowledge to better understand what needs to happen on which level to achieve which outcome.

METHODS

A scoping review was performed within scientific literature. The data was structured using Context-Mechanism-Outcome, the Rainbow model of integrated care and six elements of PHM as theoretical concepts.

RESULTS

The literature search generated 531 articles, of which 11 were included. Structuring the data according to these three concepts provided a framework that shows the skewed distribution of items that influence the implementation of PHM. It highlights that there is a clear focus on normative integration on the organisational level in 'accountable regional organisation'. There is less focus on the normative integration of 'cross domain business model', 'integrated data infrastructure', and 'population health data analytics', and overall the perspective of citizen and professionals, indicating possible gaps of consideration.

CONCLUSIONS

A first step is taken towards a practical guide to implement PHM by illustrating the depth of the complexity and showing the partial interrelatedness of the items. Comparing the results with existing literature, the analysis showed certain gaps that are not addressed in practice, but should be according to other frameworks. If initiators follow the current path in literature, they may be missing out on some important components to achieve proper implementation of PHM.

Teaching nursing within a population health context: From concept to exemplars

As researchers in the health sciences improve their understanding of the underlying causes of poor health to include non-medical factors, nursing practice must expand and adapt to enable nurses to effectively contribute to population health improvement. The concept of population health has been incorporated into the current American Association of Colleges of Nursing (AACN) The Essentials: Core Competencies for Professional Nursing Education (2021) as a set of competencies for nurses at entry and advanced levels. This article provides a description of these competencies, and exemplars of how to include them meaningfully in nursing curricula at the entry level.

Study to Identify and Evaluate Predictor Factors for Primary Open-Angle Glaucoma in Tertiary Prophylactic Actions

The aim of this study is to develop a predictive model with several explanatory variables that can guide ophthalmologists to make a more objective assessment of the evolution of open-angle glaucoma (OAG) during tertiary prevention. Objectives: The evaluation of risk factors and different predictors of symptom progression between patients with POAG and non-glaucoma patients (NG), as well as between primary open-angle glaucoma with high intraocular pressure (POAG) and primary open-angle glaucoma with normal intraocular pressure (NTG), in tertiary prophylactic activities. Methods: This research is an analytical epidemiological study of a prospective cohort. For the study, we took into account personal medical history, physical ophthalmological examination, intraocular pressure (IOP) values, and visual field (VF) parameters, examined with the Opto AP-300 Automated Perimeter using the “fast threshold” strategy. The results of gonioscopy were inconsistently recorded; they were not considered in the study due to missing values, the processing of which would have seriously distorted the statistical analysis. Ophthalmological examination was completed with a dichotomous questionnaire entitled “Symptom Inventory”, made according to the accusations of patients resulting from a “focus group” study. The study was carried out in the ophthalmology office within the Integrated Outpatient Clinic of the Emergency Clinical Hospital of Oradea, Bihor County (IOCECHO) between January−December 2021. The threshold of statistical significance was defined for p value < 0.05. The obtained results were statistically processed with specialized software SPSS 22. Results: The study included 110 people, of which 71 (64.54%) had POAG (IOP > 21 mmHg) and 39 people (35.46%) had NTG (IOP < 21 mmHg), the two groups being statistically significantly different (χ2 = 9.309, df = 1, p = 0.002). For the POAG group, glaucomatous loss was early, AD < −6 dB, according to the staging of glaucomatous disease, HODAPP classification. In addition, the groups of POAG and NTG patients was compared with a group of 110 NG patients, these three groups being statistically significantly different (χ2 = 34.482, df = 2, p = 0.000). Analysis of confounding factors (age, sex, residence, marital status) shows a statistically significant relationship only for age (F = 2.381, df = 40, p = 0.000). Sex ratio for the study groups = 5.11 for OAG and =5.87 for NG. After treatment (prostaglandin analogues and neuroprotective drugs) IOP decreased statistically significantly for both POAG and NTG. Conclusions: this study identified possible predictors of OAG, at the 5% level (risk factors and symptoms as independent variables) using a dichotomous questionnaire tool with a complementary role in tertiary prophylactic activities. The implementation of the focus group interview results as a socio-human research technique will be supportive to clinicians.

Participation in Value-Based Payment Programs and U.S. Acute Care Hospital Population Health Partnerships

GOAL

The goal of this study was to describe the prevalence and pattern of population health partnerships by hospitals and examine whether these partnerships were associated with different types of payment model programs.

METHODS

We conducted a cross-sectional analysis of 3,012 U.S. hospitals using data from the American Hospital Association's Annual Survey, the Area Health Resources File, and the County Health Rankings & Roadmaps data. We ran a multivariable Poisson regression model to examine the relationship between value-based payment designs and the number of population health partnerships. Binary logistic regression models were used to assess whether participation in value-based payment design programs was associated with specific types of population health partnerships.

PRINCIPAL FINDINGS

We found that two thirds or more of hospitals used more informal collaborative partnerships with local or state government, faith-based organizations, and local businesses; formal alliances were most common with health insurance companies and other healthcare providers. Accountable care organizations and bundled payment program participation were associated with greater numbers of population health partnerships, whereas hospital ownership of a health plan was not associated with significantly greater numbers of population health partnerships.

APPLICATIONS TO PRACTICE

Hospitals were engaged in an intermediate number of partnerships (mean = 3.5, out of 8.0 possible), with opportunities for more partnerships with specific types of organizations (faith-based organizations, health insurance companies). Our findings also suggest that certain types of payment models, particularly those that are less capital intensive and entail less extensive organizational transformation on the part of hospitals, may support hospital engagement in population health partnerships. Hospital leaders need to monitor these partnerships continually to determine if they can capitalize on opportunities to play a more prominent role in population health management in local communities.

Pharmacists as accessible health care providers: quantifying the opportunity

BACKGROUND: Community pharmacists are well positioned to improve patient access to care, which may assist value-based care programs in reaching patients. While pharmacy accessibility is broadly acknowledged, much of the research supporting accessibility claims is poor quality. OBJECTIVE: To quantify the accessibility of pharmacists in comparison with physicians or qualified health care professionals (QHP) in a commercially insured population. METHODS: IBM MarketScan claims data from 2018 were used for this cross-sectional study. Beneficiaries included in the primary analysis were aged 18-64 years, enrolled with pharmacy benefits in 2018 for 12 months, and had at least 1 valid prescription drug claim or evaluation and management (E&M) code in 2018. Unique pharmacy visits were defined using a 6-day fill window for prescription fill dates, while visits to physicians or other QHP were defined as unique service dates tied to an E&M code. We assessed differences in visit frequency for the full sample, those with multiple chronic conditions (MCC), and "superutilizers" (top 5% based on total cost of care). Our statistical approach included descriptive statistics and the Wilcoxon sign rank test. RESULTS: After applying the inclusion criteria, 11,720,958 beneficiaries were included in the full sample. The MCC cohort contained 13.8% of the total sample (mean [SD] age: 50.8 [10.8]; 908,880 [56.1%] female). Finally, the superutilizers were 57.3% female with an average age of 48.4 years and comprised 5.3% of the total sample. The median number of pharmacy and physician or QHP visits for the full sample were 5 and 3 (P < 0.0001), yielding a pharmacy to physician or QHP visit ratio of 1.7:1. The MCC cohort had a median of 13 pharmacy visits and 7 physician or QHP visits (ratio 1.9:1; P < 0.0001), and the superutilizers had a median of 14 pharmacy visits and 9 physician or QHP visits (ratio 1.6:1; P < 0.0001). CONCLUSIONS: This study found that patients visit their community pharmacies almost twice as often as they visit their physicians or other QHP. Study findings emphasize the accessibility of community pharmacists and highlight the role of community pharmacists in improving patient engagement in all care programs, including value-based care programs. DISCLOSURES: The database infrastructure used for this project was funded by the Department of Epidemiology, University of North Carolina (UNC) Gillings School of Global Public Health; the Cecil G. Sheps Center for Health Services Research, UNC; the CER Strategic Initiative of UNC's Clinical Translational Science Award (UL1TR001111); and the UNC School of Medicine. All authors are employed by the UNC School of Pharmacy. Urick declares consulting fees from Cardinal Health. The other authors have no conflicts of interest to disclose. Portions of this work were previously presented at the AMCP 2021 Virtual, April 12-16, 2021.

Prevalence, Association Relation, and Dynamic Evolution Analysis of Critical Values in Health Checkup in China: A Retrospective Study

Objective: The critical values in health checkup play a key role in preventing chronic diseases and different types of cancer. This study aimed to analyze the prevalence, association relation, and dynamic evolution of critical values in health checkups at a large physical examination center in China.

Methods: Herein, we chose 33,639 samples of physical examiners from January 2017 to December 2019. After strict exclusion processes, combined with the critical values in health checkup reporting data, 4,721 participants with at least one critical value were included. We first defined a critical value list for laboratory test, imaging, cervical cancer screening, electrocardiogram, and health checkup informed on site, and then performed a cross-sectional study to analyze the distribution and significance of critical values of 4,721 participants from different views and the association relation of 628 participants with more than one critical value and a retrospective cohort study to analyze the incidence and dynamic evolution of critical values based on 2,813 participants attending the physical examination from 2017 to 2019.

Results: A total of 4,721 participants were included in the retrospective study. The prevalence of 10 critical values from 33,639 participants was over 0.6%. The critical values of obesity, hypertension, Glucose_T, Liver_T, Kidney_T, Lipid_T, Urine_T, and Head_CT were significantly increased in men (P < 0.05), whereas the results were the opposite for the Blood_T and Thyroid_US (P < 0.01). The prevalence trend of critical values increased along with age, where the prevalence of men was higher than that of women under 60 years old (P < 0.01), while the prevalence of women increased by four times and exceeded the prevalence of men above 70 years old. Association relation analysis identified 16 and 6 effective rules for men and women, respectively, where the critical values of Urine_T and Glucose_T played the central roles. Furthermore, a retrospective dynamic evolution analysis found that the incidence of new critical values was about 10%, the incidence of persistent critical values was about 50%, and that most of the effective evolution paths tended to no critical values for men and women.

Conclusion: In conclusion, this study provides a new perspective to explore the population health status using the critical value reporting data in a physical examination center, which can assist in decision-making by health management at the population level and in the prevention and treatment of various types of cancer and chronic diseases at the individual level.

Population Health Initiatives Among Hospitals: Associated Hospital Characteristics

EXECUTIVE SUMMARY

This study explored how hospitals define population health and the factors associated with hospitals' population health initiatives. Data came from the 2015 American Hospital Association (AHA) Population Health Survey, the 2015 AHA Annual Survey, and the 2015 AHA Health Information Technology Supplement. Descriptive statistics described the sample of 1,386 nonfederal acute care hospitals and variables of interest. Multivariate logistic regression explored associations between population health commitment among hospitals and hospital characteristics. While hospitals defined population health in several ways, most (83%) responded that they were committed to population health activities. Multivariate regression results indicated that hospitals with lower levels of health information technology sophistication were less likely to commit to population health activities. For-profit hospitals were also less likely to commit to population health, compared to not-for-profit hospitals. System members were more likely to commit to population health initiatives, compared to independent hospitals. The variation in the definition of population health has implications for developing strategies to improve outcomes. These results present preliminary evidence on the relationship between hospital characteristics and hospital commitment to population health efforts.

Designing and psychometric of reproductive health related behaviors assessment tool in Iranian males: an exploratory mixed method study protocol

BACKGROUND

Male reproductive health is a relatively new concept, and most men are neglected in reproductive health discussions. Therefore, it appears that there is insufficient information about the male reproductive health. This study aims to design a psychometric instrument for assessing the male reproductive health-related behavior.

METHODS/DESIGN

This is a sequential exploratory mixed-method study with a classical instrument development design. It will be conducted in two qualitative and quantitative phases on the studied units including the men living in Tehran. In the first phase, a qualitative study of a contractual content analysis approach will be conducted in order to perceive the concept of male reproductive health-related behavior, determine the dimensions of the questionnaire, and explore the items. In the second phase, a quantitative study will be carried out to evaluate the psychometric properties as well as (form, content, and construct) validity and reliability of the instrument designed in the first phase. Finally, the instrument will be scored and interpreted.

DISCUSSION

Discovering men's perception of concept of reproductive health-related behavior can help design a valid and reliable questionnaire which can be used in studies evaluating the male reproductive health-related behavior.

ETHICAL CODE

IR.TUMS.FNM.REC.1397.157.

Promoting Wellness Through Mobile Health Technology in a College Student Population: Protocol Development and Pilot Study

Background

The health and well-being of college students has garnered widespread attention and concern in recent years. At the same time, the expansion and evaluation of digital technologies has grown in recent years for different target populations.

Objective

This protocol aims to describe a pilot feasibility study on wearables to assess student interest and to gather baseline data from college freshmen, for the academic year 2019 to 2020.

Methods

All full-time college freshmen residing in a single residence hall were eligible to participate. Study invitations were sent by post and email 5 weeks prior to move-in. Web-based enrollment and in-person attendance at study orientation sessions were mandatory. We provided the incoming freshmen with a wearable and study app. Wearable data and weekly survey data will be collected through the study app and analyzed. We have collected demographic, enrollment, and attrition data and the number and type of support requests from students.

Results

The planning phase of the WearDuke initiative was completed in 2018 to 2019, and the pilot study was launched in July 2019. Of the 175 students invited, 120 enrolled and 114 started the study; 107 students remained active participants till the end of the fall semester. For Apple Watch participants (the majority of study population), weekly survey completion rates ranged from 70% (74/106) to 96% (95/99).

Conclusions

Halfway through the pilot, we noticed that the initiative has been received positively by the students with minimal attrition. The short- and long-term benefits may be substantial for students, the campus, the utilization of health services, and long-term health.

International Registered Report Identifier (IRRID)

DERR1-10.2196/16474

Impact of pharmacist care provision in value-based care settings: How are we measuring value-added services?

OBJECTIVES

To discuss the current state of measuring value-added services in emerging value-based payment practice models and their impact on the pharmacy profession.

SUMMARY

Value-based care models require a focus on population health. In value-based care settings, providers are held accountable for risk that goes beyond the clinic encounter, and payment is tied to quality measures that reflect clinical and humanistic outcomes across the health care spectrum. This creates opportunities for pharmacist integration into value-based care settings through addressing gaps in care, optimizing medication use, and developing physician-pharmacist team-based care practice models.

CONCLUSION

Scalable and sustainable pharmacist integration into value-based care settings should involve expansion of preventive care into the community. The need for measurement of the value added by pharmacy services is a priority.

Community/public health nursing faculty's knowledge, skills and attitudes of the Quad Council Competencies for Public Health Nurses

A multisite collaborative team of community/public health nursing (C/PHN) faculty surveyed baccalaureate nursing faculty to explore their knowledge, skills, attitudes, and application of the Quad Council Competencies for Public Health Nurses (QCC-PHN).

OBJECTIVES

(1) Evaluate the knowledge, skills, and attitudes of the 2011 QCC-PHN by academic C/PHN faculty; (2) Evaluate the application of 2011 QCC-PHN by C/PHN faculty in the clinical practicum for undergraduate baccalaureate C/PHN students; and (3) Determine if a significant difference existed in the knowledge for each domain.

DESIGN

A mixed methods descriptive research design was used to answer three specific hypotheses related to the study objectives. A convenience sample of 143 faculty teaching C/PHN in baccalaureate schools of nursing completed an online survey.

MEASUREMENTS

ANOVA was used to determine the difference between knowledge, skills, attitudes, and application of nursing faculty regarding the QCC-PHN based on years of nursing experience, C/PHN experience, and nursing specialty preparation. Participants' qualitative comments for each domain were analyzed for themes.

RESULTS

C/PHN nursing faculty are described and differences in knowledge, skills, and attitudes delineated. A statistically significant difference was found in skills based on years of experience in C/PHN and in the application of the competencies based on nursing specialty preparation. Variations in knowledge of the QCC-PHN are identified.

CONCLUSIONS

Ten recommendations are proposed for key skill sets and necessary preparation for faculty to effectively teach C/PHN in baccalaureate schools of nursing.