Developing Community-Based Primary Health Care for Complex and Vulnerable Populations in the Vancouver Coastal Health Region: HealthConnection Clinic

"Like an umbrella, protecting me from the rain until I get to my destination": Evaluating the implementation of a tailored primary care model for urban marginalized populations

BACKGROUND

Improving health equity and access to the highest possible standard of health care is a key issue of social accountability. Centretown Community Health Centre in Ottawa, Canada has iteratively developed a program to target and serve marginalized and complex populations since 1999. The program implementation was evaluated using a validated implementation framework.

METHODS

Quantitative and qualitative data were collected through a health records extraction (n = 570), a client complexity assessment tool (n = 74), semi-structured interviews with clients and key stakeholders (n = 41), and a structured client satisfaction survey (n = 30). Data were analyzed using descriptive statistics and inductive thematic analysis.

RESULTS

Five hundred and seventy unique clients were seen between November 1-30, 2021. A third of clients (34%) did not have a provincial health card for access to universal health care services, and most (68%) were homeless or a resident of rooming houses. Most clients who reported their income (92%) were at or below Canada's official poverty line. The total mean complexity score for clients seen over a one-month period (n = 74) was 16.68 (SD 6.75) where a total score of at least 13 of 33 is perceived to be a threshold for client biopsychosocial complexity. Clients gained the majority of their total score from the Social support assessment component of the tool. Clients (n = 31) and key informants (n = 10) highlighted the importance of building relationships with this population, providing wrap-around care, and providing low-barrier care as major strength to the Urban Health program (UH). Key areas for improvement included the need to: i) increase staff diversity, ii) expand program hours and availability, and iii) improve access to harm reduction services. Clients appeared to be highly satisfied with the program, rating the program an average total score of 18.50 out of 20.

CONCLUSIONS

The program appears to serve marginalized and complex clients and seems well-received by the community. Our findings have relevance for other health care organizations seeking to better serve marginalized and medically and socially complex individuals and families in their communities.

Capturing the clinical complexity in young people presenting to primary mental health services: a data-driven approach

AIMS

The specific and multifaceted service needs of young people have driven the development of youth-specific integrated primary mental healthcare models, such as the internationally pioneering headspace services in Australia. Although these services were designed for early intervention, they often need to cater for young people with severe conditions and complex needs, creating challenges in service planning and resource allocation. There is, however, a lack of understanding and consensus on the definition of complexity in such clinical settings.

METHODS

This retrospective study involved analysis of headspace's clinical minimum data set from young people accessing services in Australia between 1 July 2018 and 30 June 2019. Based on consultations with experts, complexity factors were mapped from a range of demographic information, symptom severity, diagnoses, illness stage, primary presenting issues and service engagement patterns. Consensus clustering was used to identify complexity subgroups based on identified factors. Multinomial logistic regression was then used to evaluate whether these complexity subgroups were associated with other risk factors.

RESULTS

A total of 81,622 episodes of care from 76,021 young people across 113 services were analysed. Around 20% of young people clustered into a 'high complexity' group, presenting with a variety of complexity factors, including severe disorders, a trauma history and psychosocial impairments. Two moderate complexity groups were identified representing 'distress complexity' and 'psychosocial complexity' (about 20% each). Compared with the 'distress complexity' group, young people in the 'psychosocial complexity' group presented with a higher proportion of education, employment and housing issues in addition to psychological distress, and had lower levels of service engagement. The distribution of complexity profiles also varied across different headspace services.

CONCLUSIONS

The proposed data-driven complexity model offers valuable insights for clinical planning and resource allocation. The identified groups highlight the importance of adopting a holistic and multidisciplinary approach to address the diverse factors contributing to clinical complexity. The large number of young people presenting with moderate-to-high complexity to headspace early intervention services emphasises the need for systemic change in youth mental healthcare to ensure the availability of appropriate and timely support for all young people.

Adult kitchen-related burn injuries: The impact of COVID-19

INTRODUCTION

Kitchen-related burn injuries are common and preventable. To limit the spread of COVID-19, public health orders encouraged the public to stay at home which may have led to an increase in kitchen-related burn injuries.

OBJECTIVE

To assess adult kitchen-related burns treated in an outpatient setting in general, and especially looking at the impact of the COVID-19 pandemic on the incidence and epidemiology of these burns.

METHODS

For this retrospective, population-based study, data were obtained for adult patients who suffered burn injuries resulting in a visit to a Canadian tertiary Burn Clinic between April 2016 and March 2021 specifically looking at demographics, burn etiology, severity and anatomical location and the need for surgery. Separately, we compared the patients before and after the beginning of the COVID-19 pandemic (April 1, 2020).

RESULTS

A total of 1380 burn patients were identified. Of these, 38 % (N = 521) sustained a kitchen-related burn. The median patient age was 40 years (range 18-95) and 282 (54.1 %) were female. The most common etiology and location were scald (76.8 %) and anterior arm (28.5 %), respectively. Thirty-two (6.1 %) patients required admission to the Burn Unit and 26 of these had surgeries. Additionally, 72 (13.8 %) patients had surgery as an outpatient. During the COVID-19 pandemic, East Asian patients saw a significant increase in kitchen burns (p < 0.01).

CONCLUSION

Over 1/3 of burns at the outpatient burn clinic were kitchen-related. About 94 % of these were treated as outpatient only. The incidence of kitchen-related burns did not change during the COVID-19 pandemic, but we found significant differences in ethnic distribution. These results provide a unique opportunity to focus on communication and education and set up preventative measures.

Community engagement: health research through informing, consultation, involving and empowerment in Ingwavuma community

Introduction

The goal of community involvement in health research is to improve a community's ability to address its own health needs while ensuring that researchers understand and consider the community's priorities. Recent data show that socio-economic and environmental challenges continue to be a barrier to informing, consulting, involving and empowering communities in community-based health research beneficial to them. The aim of this study was to assess the extent to which the Ingwavuma community in KwaZulu-Natal Province, in rural South Africa, was informed, consulted, involved and empowered about two research projects conducted between 2014 and 2021.

Methods

The study used the modified random-route procedure to administer a standardized questionnaire to 339 household heads selected randomly. The questionnaires were administered face-to-face. The sample size was estimated using the Yamane sample size generating formula. Chi-square tests were performed to assess associations between demographic variables (age, gender, education, village) and respondents' knowledge and information of the projects, Malaria and Bilharzia in Southern Africa and Tackling Infections to Benefit Africa as well as their participation.

Results

The communities were generally well-informed about the health projects that were being carried out. Fewer than half of those who had heard about the projects had directly participated in them. The majority had been tested for one or more diseases and conditions, mostly high blood pressure, diabetes, and schistosomiasis, and had participated in a community feedback group; many had given their children's permission to be tested for schistosomiasis or to participate in project research activities. Others participated in public awareness campaigns and surveys. There was some evidence of a consultation process in the form of public consultation discussed in the projects, and not much discussion on empowerment.

Discussion

The findings demonstrate that researchers' CE approach was adaptable as communities were largely educated, involved, and subsequently empowered though without much consultation and that researchers had provided a space for sharing responsibilities in all engagement process decision-making. For the empowerment of the community, projects should take into account the intrapersonal and personal aspects affecting the community's capacity to effectively benefit from the information, consultation, involvement, and empowerment procedures.

Advancing digital patient-centered measurement methods for team-based care

Objectives

To conceptualize new methods for integrating patient-centered measurement into team-based care.

Methods

A standalone portal was introduced into a rural clinic to support conceptualization of new methods for integration of patient-centered measurement in team-based care. The portal housed mental health-related online resources, three patient-reported measures and a self-action plan. Six providers and four patients used the portal for four months. Our data collection techniques included clinic discussions, one-on-one interviews, workflow diagrams and data generated through the portal. Analysis was supported through coding interview transcripts, looking across multiple sources of research data and research team discussions.

Results

Our research team conceptualized five team-based patient-centered measurement methods through this study. Patient-centered measurement Team Mapping offfers a technique to provide greater clarity of care-team roles and responsibilities in data collected through patient-centered measurement. Longitudinal Care Alignment can guide the care-team on incorporating patient-centered measurement into ongoing provider-patient interactions. Digital Tool Exploration can be used to evaluate a team's readiness toward digital tool adoption, and the impact of these tools. Team-based quality improvement serves as a framework for engaging teams in patient-centered quality improvement. Shared learning is a method that promotes patientprovider interactions that validate patient's perspectives of their care.

Conclusion

The portal illuminated new methods for the integration of patient-centered measurement in team-based care. The first three proposed patient-centered measurement methods provides ways to assess how a clinic can incorporate patient-centered measurement methods into team-based care. The latter two methods focus on the aim of patient-generated data in which patient's values and perspectives are represented and quality of patient-centered care can be evaluated. Further testing is needed to assess the utility of these patient-centered measurement methods across different clinical settings and domains.

Characteristics of Departments That Provided Primary Support for Households with Complex Care Needs in the Community: A Preliminary Cross-Sectional Study

To prevent emergency admissions and save medical costs, support should be provided to households that include people with complex care needs to allow them to continue living in their own homes. This community-based, cross-sectional study was conducted to (1) identify which departments that public health nurses (PHNs) worked have been the primary providers of support for households with complex care needs and (2) clarify the length of time required by each department to resolve primary health problems. We analyzed 148 households with complex care needs that were registered in City A from April 2018 to July 2019. Four types of departments were the primary support providers for complex care households: the department supporting persons with disabilities (n = 54, 36.5%), public/community health centers (n = 47, 31.8%), department of older adults (n = 29, 19.6%), and welfare offices (n = 18, 12.2%). The Mantel–Cox test showed that welfare offices mainly supported households in economic distress and needed significantly less time to resolve their primary health issues than other departments. For early detection and resolution of primary health problems for households with complex care needs, PHNs and healthcare professionals should focus on their economic distress and enhanced multidisciplinary approaches.

Household characteristics of persons with complex care needs in the community: A preliminary study

Aim

To identify the characteristics of households of persons with complex care needs and clarify the care period length required to resolve their primary health issues.

Design

A descriptive cross-sectional study design.

Methods

We collected registered data and nursing records from 155 households living in City A within the Tokyo Metropolis. They were designated as complex care cases by the home care and life support centre and needed a multidisciplinary approach to care from April 2018-July 2019.

Results

Most households comprised an elderly with a single adult child (N = 47, 30.3%). Mental illness and economic distress overlapped as the most common issues. The mean length of care period was 147.7 days (SD = 120.6). The log-rank test showed that single persons took significantly less time to resolve their primary health issues than elders with single-child households or single-person <65-year-old households.

The Vancouver Community Analytics Tool (VCAT): Software Enabling Operationalization of the Building Blocks of High-Performing Primary Care at Community Health Centers in British Columbia, Canada

BACKGROUND

Community health centers (CHCs) in British Columbia, Canada, are using a data-driven approach to enable functions related to the design, organization, management, delivery, and evaluation of primary health care services for complex populations.

METHODS

Descriptive study leveraging case studies from 4 CHCs in Vancouver, Canada, to provide an overview and examples of the functions and outputs of the Vancouver Community Analytics Tool (VCAT). Quantitative data were derived from electronic medical record data and regional emergency department data. Data were analyzed and reported by the VCAT software.

RESULTS

VCAT is a health system modeling, analytics, and reporting application suite that enables operationalization of the Ten Building Blocks of High-Performing Primary Care framework via 1) creation of a virtual patient record, 2) modeling and measurement of epidemiological profiles, 3) population management and quality improvement, 4) measurement and assessment of biopsychosocial complexity, 5) empanelment, and 6) design and optimization of team-based care. The software captures data on patient pathways and service operations for over 300 service sites, including community health centers, detox centers, and emergency departments. The software integrates data on service utilization and myriad other variables for over 750,000 individuals.

DISCUSSION

Using case studies, the article describes how the software helps solve practical clinical, organizational, and performance issues facing CHCs.

CONCLUSIONS

VCAT models, analyzes, and visualizes the complexity profiles and service utilization patterns of complex populations, thereby enabling system administrators and clinicians to improve system performance and quality of care. The software represents a significant advance for health services research and is transforming the organization, delivery, and evaluation of primary health care services.

Psychometric Properties of the Problem-Oriented Patient Experience-Primary Care (POPE-PC) Survey

INTRODUCTION

Measuring the experiences of patients regarding delivery and receipt of person-oriented primary care is of increasing policy and research interest and is a core component of the Institute for Healthcare Improvement's Quadruple Aim.

OBJECTIVE

To describe the Problem-Oriented Patient Experience-Primary Care (POPE-PC) survey, a novel instrument designed to measure patients' experiences of primary care, and to assess the instrument's psychometric properties.

METHODS

Psychometric testing was performed using data from a Canadian urgent primary care center, derived from March 2019 to September 2019. Patients automatically received the 9-question survey by email after leaving the clinic. Exploratory factor analysis (EFA) on all questions and the entire dataset was performed using parallel analysis and scree plot for factor extraction. Internal consistency was assessed by calculating Cronbach α. A split-half cross-validation of the ensuing factor structure was conducted. A correlation analysis helped explore associations between the survey's questions.

RESULTS

Results from the initial EFA indicate that the POPE-PC has a conceptually sound 2-factor structure, with good internal consistency. A split-half validation yielded the same findings, reaffirming that the 2-factor model has good psychometric properties. The correlation analysis indicated that the concept of respect is strongly associated with clinical functions related to problem recognition.

DISCUSSION

Problem recognition, despite being the cornerstone of person-oriented primary care, remains largely overlooked in health services research. The POPE-PC's validity and problem orientation render it potentially useful in rigorously assessing patient experiences of problem-oriented primary care.

CONCLUSION

The survey's conceptual underpinning and psychometric properties, coupled with its simple and parsimonious design, enable application in primary care settings to provide person-oriented care.

A Multi-sourced Data Analytics Approach to Measuring and Assessing Biopsychosocial Complexity: The Vancouver Community Analytics Tool Complexity Module (VCAT-CM)

Operationalization of the fundamental building blocks of primary care (i.e. empanelment, team-based care and population management) within the context of Community Health Centers requires accurate and real-time measures of biopsychosocial complexity, at both client and population-levels. This article describes the conceptualization, design and development of a novel software tool (the VCAT-Complexity Module) that can calculate and report real-time person-oriented biopsychosocial complexity profiles, using multiple data sources. The tool aligns with a profile approach to conceptualizing health outcomes, and represents a potentially significant advance over disease-oriented complexity assessment tools. The results and face validity of the software's complexity score outputs are discussed, along with their practical implications on functions related to the development of primary care within Vancouver Coastal Health, a Canadian Regional Health Authority.