The Impact of Social Determinants of Health on Medication Adherence: a Systematic Review and Meta-analysis

Healthcare resource utilization and costs of using cariprazine as the first versus subsequent adjunctive therapy for major depressive disorder

AIM

Inadequate response to antidepressant therapy (ADT) is common in major depressive disorder (MDD); atypical antipsychotic (AA) adjunctive therapy may be effective for these patients. This study aimed to compare healthcare resource utilization (HRU) and costs between patients initiating the AA cariprazine as their first adjunctive therapy vs those initiating cariprazine subsequently.

METHODS

The Merative MarketScan Commercial Database (January 1, 2015, to June 30, 2021) was used to identify US adults with MDD and ≥1 pharmacy claim for cariprazine adjunctive to ADT in 2018 or after. Rates of mental health (MH)‑related and all‑cause HRU per patient-year (PPY) and mean healthcare costs per-patient-per-year (PPPY) were assessed after patients first initiated adjunctive therapy. HRU and costs were compared between cohorts using rate ratios (RRs) and mean cost differences, respectively, estimated from multivariable regression models.

RESULTS

Of 838 patients receiving cariprazine, 44.7% initiated cariprazine as their first adjunctive therapy to ADT, and 55.3% initiated it subsequently. Those initiating cariprazine first had significantly lower rates of MH‑related hospitalizations (RR [95% confidence interval] = 0.55 [0.30, 0.90], p = .020) and outpatient (OP) visits (0.67 [0.57, 0.82], p < .001) PPY than those initiating cariprazine subsequently. Moreover, patients initiating cariprazine as their first adjunctive therapy had lower annual total MH‑related healthcare costs (mean cost difference [95% confidence interval] -$2,182 [-$4,206, -$69], p = .040), driven primarily by lower OP visit costs (-$1,511 [-$2,330, -$615], p < .001). Similar trends were observed for all-cause HRU and costs.

LIMITATIONS

This was a retrospective analysis of secondary data with limited follow-up. Claims were a proxy for cariprazine use.

CONCLUSIONS

Results from this real‑world study of commercially insured US adults suggest that initiating cariprazine as the first adjunctive therapy rather than a subsequent therapy could help mitigate the considerable economic burden of MDD for appropriate patients.

Does access to medicines differ from access to healthcare? Experiences of barriers to medicines access by people facing social disadvantage

BACKGROUND

Levesque et al.'s widely-cited five dimensional model of access to healthcare has been used in a variety of contexts, including access to medicines. However the model is based on healthcare, i.e., facilities where health professionals work. We examined whether there were other important features of access to medicines, not captured by this model.

METHODS

A longitudinal qualitative study was conducted, repeatedly interviewing 21 households about their lives and access to medicines, over the course of a year. Participants were Māori, Pacific, former refugee, or New Zealand Europeans with limited incomes. Analysis was thematic and inductive.

RESULTS

Our participants experienced a number of barriers to accessing medicine, some of which do not fit comfortably within existing models of access to healthcare. For example, communication difficulties with healthcare staff (lack of appropriateness of care), had implications for medicine-taking after participants got home. Confusion about medicines identity, purpose and possible side effects, led to poorer access or under-use of prescribed medicines. Communication problems were particularly acute for former refugee participants. For them, communication in pharmacies was impossible because of lack of interpreters, severely restricting the information they had access to, and increasing the use of other less reliable sources of information. Crime, fear of crime, and the justice system also impacted on access in a variety of ways.

CONCLUSION

Because medicines are portable, physical objects taken at home, the effects of appropriateness of healthcare are played out in the home. Aspects of the wider, non-healthcare environment also impact on access to medicines in unexpected ways.

A Review of Heterogeneity in Comparative Economic Analysis, with Specific Considerations for the Decentralized US Setting and Patient-Centered Care

Patient-centered care emphasizes individual preferences, but insurer coverage decisions-based on population-level evidence-may restrict treatment options for patients who differ from the average. This highlights the importance of considering heterogeneity, which refers to differences in health and cost outcomes that are systematically linked to variations in factors like patient characteristics, insurer policies, and provider practices. Failing to account for heterogeneity in economic evaluations can lead to suboptimal decisions, inferior outcomes, and inefficiency. This study aimed to assess the tools and methods for addressing heterogeneity in economic evaluations, examine the extent to which, and how, heterogeneity has been addressed in US cost-utility studies, and provide insights and recommendations to promote more fuller consideration of heterogeneity in US economic evaluations. We reviewed and adapted a seminal taxonomy of heterogeneity to the US setting, highlighting key drivers like patient preferences and insurance design. Methods for addressing heterogeneity in economic evaluations were also reviewed and summarized. We used data from the Tufts Medical Center Cost-Effectiveness Analysis Registry to assess empirical practices in US cost-utility applications, specifically the frequency, types, and impact of a subgroup analysis, and whether rationales for including or excluding subgroups were provided. The revised taxonomy highlights key drivers of heterogeneity in the diverse and decentralized US healthcare ecosystem, such as the diversity of patient preferences and in non-patient factors like access to healthcare providers and insurance coverage. Methods to explore, confirm, and incorporate heterogeneity into a comparative economic analysis exist, but are often challenged by data availability. In addition to the trade-off between potential efficiency gains and increasing uncertainty in comparative value estimates, ethical implications of stratified decisions were highlighted in the literature. We found that a subgroup analysis was rare, and primarily performed for clinical factors like age and disease severity. Only 2 of the 85 studies published between 2015 and 2022 with subgroup-level results were found to consider non-patient factors, and none considered preferences. One-third of studies reported incremental cost-effectiveness ratios differing by more than 50% from the unstratified estimate. No studies provided a rationale for omitting a subgroup analysis, and only two motivated inclusion of a subgroup analysis, limiting our ability to assess the appropriateness of these decisions. Despite well-documented methods to address heterogeneity, its application is limited in US cost-utility studies, especially regarding patient preferences and non-patient factors. As these factors often drive real-world health outcomes and costs in the USA, proper consideration of, and reporting on, heterogeneity is essential to avoid erroneous market access decisions, suboptimal patient outcomes, and economic inefficiency. Future efforts, including work by an upcoming Professional Society of Pharmacoeconomics and Outcomes Research Task Force, should continue to refine taxonomies and emphasize the importance of addressing heterogeneity.

Chronic Illness Self-Management Latent Profiles in Individuals With Comorbid Type 2 Diabetes and Hypertension

PurposeThe purpose of the study was to identify chronic illness self-management latent profiles based on health literacy, disease knowledge, self-efficacy, disease distress, perceived self-care, and medication use among individuals with type 2 diabetes and hypertension.MethodsThis cross-sectional study utilized baseline data from 220 participants in the EXTEND trial. Latent profile analysis was employed to identify distinct chronic illness self-management profiles based on attributes such as health literacy, disease knowledge, self-efficacy, disease distress, perceived self-care, and medication use. Sociodemographic and clinical data were analyzed to explore associations with these profiles.ResultsThree profiles were identified: "high distress" (18.1%), characterized by high disease distress and a high medication use score, indicating greater inconsistency in medication-taking behaviors; "high health knowledge" (38.6%), with high health literacy and disease knowledge; and "high self-efficacy" (43.3%), exhibiting high self-efficacy and perceived self-care. Significant differences in A1C levels were observed across profiles, with the high distress group showing the highest A1C levels. Racial identity and socioeconomic factors were significantly associated with profile membership.DiscussionThis study underscores the complexity of chronic illness self-management in individuals with comorbid diabetes and hypertension. Tailored, multifaceted interventions addressing the unique challenges individuals face in managing their illnesses are crucial for improving clinical outcomes and promoting health equity.

Factors Associated With Medication Adherence Among Patients With Attention-Deficit/Hyperactivity Disorder (ADHD)

OBJECTIVE

Attention-Deficit/Hyperactivity Disorder (ADHD) is a common behavioral health condition that impacts 5% to 8% of children and 2.5% of adults worldwide. The symptoms of ADHD are effectively managed with medication, yet patients with ADHD may inconsistently take their medication. We assessed medication adherence among patients with ADHD and identified factors associated with medication adherence that may be utilized to optimize adherence.

METHOD

This is a retrospective, observational study among patients aged 4 years and older with a diagnosis of ADHD at primary care and multispecialty outpatient clinics during May 2021 to May 2023. We assessed sociodemographic characteristics, stratified by medication adherence status (Percentage of Days Covered ≥ 80%) using simple proportion, Student's t-test, and Chi-square test. We conducted univariable and multivariable logistic regression analyses to assess potential medication adherence factors, including sociodemographic characteristics, depressive symptoms, suicide risk, health service utilization, and social determinants of health (SDOH).

RESULTS

We found 7,661 patients diagnosed with ADHD, with a mean (SD) age of 21.8 (14.8) years. The ADHD prevalence was 5.5% for patients aged 4 to 12, 4.4% for 13 to 17, and 0.8% for 18+ years old. Most patients were male (56.9%), non-Hispanic White (37.6%), and privately insured (55.1%). Among these patients, only 4,242 (55.4%) were treated with medication. Among 4,011 patients with medication adherence information, the average adherence rate was 56%, and only 1,113 patients (27.5%) met our threshold for adherence to ADHD treatment (80%). Adherence was positively associated with being adults, having more BH and PCP visits, and negatively associated with racial and ethnic minorities and more severe depressive symptoms.

CONCLUSION

Only half of patients with ADHD were treated with medication. Of those treated, less than a third adhered to medication. Age, race and ethnicity, depressive symptoms, and BH and PCP visits were statistically associated with medication adherence. Healthcare providers may need to address factors such as coexisting depressive symptoms, and unmet SDOH needs to improve medication adherence among patients with ADHD. Also, patients reaching adolescence may need enhanced medication management.

Influence of Neighborhood Disadvantage and Individual Sociodemographic Conditions on Heart Failure Self-care

BACKGROUND

Residence in socioeconomically disadvantaged neighborhoods and individual sociodemographic conditions contribute to worse heart failure (HF) outcomes and may influence HF self-care. However, associations between neighborhood disadvantage, socioeconomic conditions, and HF self-care are unclear.

OBJECTIVE

The purpose of this secondary analysis was to investigate whether neighborhood disadvantage and individual socioeconomic conditions predicted worse HF self-care.

METHODS

This study was a secondary analysis of baseline data from a mixed-method study of 82 adults with HF. Participant zip codes were assigned a degree of neighborhood disadvantage using the Area Deprivation Index. Those in the top 20% most disadvantaged neighborhoods (Area Deprivation Index ≥ 80) were compared with those in the least disadvantaged neighborhoods. The Self-Care of Heart Failure Index was used to measure self-care maintenance and monitoring. Multiple linear regression was conducted.

RESULTS

Of all participants, 59.8% were male, 59.8% were persons of color, and the mean age was 64.87 years. Residing in a disadvantaged neighborhood and living alone predicted worse HF self-care maintenance and monitoring. Having no college education was also a predictor of worse HF self-care maintenance. Although persons of color were more likely to reside in disadvantaged neighborhoods, race was not associated with HF self-care.

CONCLUSION

Residing in a disadvantaged neighborhood and living alone may be important risk factors for worse HF self-care. Differences in self-care cannot be attributed solely to the individual sociodemographic determinants of race, gender, age, annual household income, or marital status. More research is needed to understand the connection between neighborhood disadvantage and HF self-care.

Understanding contraceptive switching rationales from real world clinical notes using large language models

Understanding reasons for treatment switching is of significant medical interest, but these factors are often only found in unstructured clinical notes and can be difficult to extract. We evaluated the zero-shot abilities of GPT-4 and eight other open-source large language models (LLMs) to extract contraceptive switching information from 1964 clinical notes derived from the UCSF Information Commons dataset. GPT-4 extracted the contraceptives started and stopped at each switch with microF1 scores of 0.85 and 0.88, respectively, compared to 0.81 and 0.88 for the best open-source model. When evaluated by clinical experts, GPT-4 extracted reasons for switching with an accuracy of 91.4% (2.2% hallucination rate). Transformer-based topic modeling identified patient preference, adverse events, and insurance coverage as key reasons. These findings demonstrate the value of LLMs in identifying complex treatment factors and provide insights into reasons for contraceptive switching in real-world settings.

Lessons learned on social health integration: evaluating a novel social health integration and social risk-informed care online continuing professional development course for primary care providers

BACKGROUND

Adjusting clinical care to account for social risks and needs is vital to patient-centered care, but little attention has been paid to implementing it in routine practice. Kaiser Permanente co-designed and developed a continuing professional development (CPD) course to orient providers to adjustment activities, or social risk-informed care. We evaluated the dissemination and implementation of this course.

METHODS

We evaluated the dissemination and implementation of the online CPD using the RE-AIM implementation framework and the Kirkpatrick model of evaluation for training and learning programs. Administrative records and completion reports were generated to track dissemination and completion. A pre- and post-survey design was utilized to assess provider changes in knowledge, attitudes, beliefs, and self-efficacy in delivering social risk-informed care, and semi-structured interviews were conducted to describe effectiveness of the online CPD, adoption of social risk-informed care, and sustainability of the online CPD and other Kaiser Permanente social health integration initiatives.

RESULTS

From April 2022-February 2023, 82 individuals completed the online CPD; 52 participants completed the pre-survey and 38 completed the post-survey. A total of 17 interviews were conducted over two phases of qualitative data collection (passive dissemination versus active dissemination). Interviewees felt the online CPD provided foundational knowledge in social health and social risk-informed care but requested more region- and role-specific resources. They also identified several systems-level barriers to social health integration.

CONCLUSIONS

Co-designing medical education courses with various stakeholders is vital to ensuring relevant and effective educational material. However, high-quality, intentionally designed educational material needs to be complemented with multifaceted and targeted implementation strategies to achieve intended provider behavior change and improved patient outcomes.

One-Year Changes in Depressive Symptoms and Cognitive Function Among Brazilian Older Adults Attending Primary Care

Background: Aging is a global phenomenon closely associated with changes in cognitive function and mental health. These conditions substantially burden public health systems and adversely affect the quality of life of older adults. This study aimed to examine changes in depressive symptoms and cognitive function over a 12-month follow-up period in a cohort of Brazilian older adults attending primary care. Methods: This observational longitudinal study included a randomized sample of individuals aged ≥60 years residing in São Paulo, Brazil, and registered at a Primary Healthcare Unit (PHU). Data collection involved administering a sociodemographic and health questionnaire along with two validated instruments: the Geriatric Depression Scale-15 (GDS-15) and the Mini-Mental State Examination (MMSE). Linear regression models were used for the analyses. Results: A total of 368 older adults were included, with 63% being men and a mean age of 74.65 years. After one year, depressive symptoms showed a notable increase, with the mean GDS-15 score rising from 5.97 to 7.48 (Cohen-d = 0.542). Likewise, there was a decrease in the mean MMSE score ranging from 19.11 to 18.88 (Cohen-d = 0.216). Adjusted regression analyses revealed that depressive symptoms at baseline (B = 0.696; p = 0.048; R2 = 0.19) and cognitive function at baseline (B = 0.444; p < 0.001; R2 = 0.26) were predictive of their respective deteriorations over the follow-up period. Conclusions: Depressive symptoms and cognitive decline place a significant burden on public health systems in aging societies. These findings underscore the importance of continuous monitoring and early intervention strategies to mitigate their impact and enhance the quality of life for older adults.

Exploring Caregiver Support as a Potential Mediator of Neighborhood Socioeconomic Disadvantage and Reduced Likelihood of Liver Transplant Waitlisting

Background

Individuals from socioeconomically disadvantaged neighborhoods may be at risk of inequitable access to the liver transplant (LT) waitlisting (WL), but mechanisms mediating this relationship are not well understood. We assessed whether area deprivation index (ADI), a measure of neighborhood socioeconomic deprivation, was associated with LT WL and assessed whether caregiver support, a potentially modifiable factor, mediated this relationship.

Methods

We performed a single-center retrospective cohort study of adults referred for LT evaluation from January 2015 to December 2021. First, we assessed the association between ADI and LT WL using univariate and multivariable logistic regression analyses. Second, we analyzed caregiver support as a potential mediator through mediation analysis.

Results

During the study period, 2574 patients were referred for LT, 2057 patients initiated evaluation, and 622 patients were waitlisted. Residence in the highest ADI quartile was associated with lower probability of WL (odds ratio [OR], 0.72; 95% confidence interval [CI], 0.52-0.99) after adjusting for individual medical and sociodemographic factors, and distance from the transplant center. In adjusted mediation analysis, caregiver support did not mediate the relationship between ADI and LT WL (OR, 0.90; 95% CI, 0.80-1.01), and highest ADI quartile also did not have significant direct effects on LT WL (OR, 0.95; 95% CI, 0.72-1.26).

Conclusions

ADI may be useful as a screening tool to identify candidates who could benefit from early intervention in the LT process when individual social needs information is not available. Caregiver support did not mediate the ADI and LT WL association. Additional work is needed to understand which modifiable factors may mediate this association to inform potential interventions for this population.

Medication for Opioid Use Disorder and Treatment Retention Among Pregnant Individuals

Importance

Treatment retention for pregnant individuals with opioid use disorder (OUD) is critical, especially during the high-potency synthetic opioid (HPSO) era. Current data on the relationship between medication for opioid use disorder (MOUD) receipt in specialty substance use treatment facilities and retention are needed for this population.

Objective

To examine the association between MOUD inclusion in treatment and 6-month treatment retention among pregnant individuals with OUD in publicly funded specialty treatment facilities during the HPSO era.

Design, Setting, and Participants

This cross-sectional study pooled data from January 1, 2015, to December 31, 2021, from the Treatment Episode Data Set-Discharges, a national dataset managed by the Substance Abuse and Mental Health Services Administration that tracks annual discharges from state-licensed, publicly funded substance use treatment facilities. Individuals who were pregnant at the time of admission, reported an opioid (heroin, nonprescription methadone, or other opiates and synthetics) as their primary substance, and were discharged from ambulatory, nonintensive outpatient facilities were included. Data were analyzed November 2023 to April 2024.

Exposure

MOUD inclusion in a treatment episode.

Main Outcomes and Measures

The main outcome was treatment retention (length of stay >6 months vs ≤6 months). To account for the nonrandom assignment to MOUD, inverse probability of treatment-weighted logistic regression models were estimated adjusting for sociodemographics; substance use, mental health, and treatment history; treatment admission-related variables; census division; state policy characteristics; and year fixed effects.

Results

Of 29 981 treatment episodes, most involved individuals aged 25 to 34 years (19 106 [63.7%]). Approximately two-thirds of 29 071 episodes in the final analysis (19 884 [68.4%]) included MOUD across all study years. From 2015 to 2021, MOUD inclusion in treatment episodes increased by 9.1 percentage points, from 65.0% to 74.1%. Treatment episodes with MOUD were associated with greater odds of 6-month treatment retention compared with those without MOUD (adjusted odds ratio, 1.86 [95% CI, 1.72-2.01]). This finding translated to an estimated 14.2 percentage point greater adjusted probability of 6-month retention among treatment episodes with MOUD (43.1%) vs those without it (28.9%).

Conclusions and Relevance

In this cross-sectional study of treatment episodes from ambulatory, nonintensive facilities, MOUD inclusion among pregnant individuals was associated with significant improvements in treatment retention. However, retention remained low during the HPSO era. These findings underscore the importance of MOUD in improving OUD-related outcomes in this high-risk population.

Factors Influencing Medication Adherence in Heart Failure Patients-A Survey Among Cardiac Healthcare Providers

Adhering to medication regimens is key behavior to alleviate symptoms and slow disease progression in heart failure (HF). This study explores cardiac healthcare providers' perceptions and experiences of factors influencing medication adherence (MA) in HF patients, with findings contributing to developing a HF-specific MA assessment scale. Using a cross-sectional, mixed methods design, we conducted an online survey with both closed and open-ended questions distributed to cardiac healthcare providers, working at the National University Hospital in Iceland. The survey consisted of 103 questions divided into 18 themes. Analysis included descriptive statistics of the participants' responses to closed responses with simplified scoring. Free-text responses were grouped into thematic categories and then into subthemes. Of 104 healthcare providers invited, 73 (70%) participated. Key factors identified as most beneficial for supporting MA included supportive patient-provider relationships (97%), selecting suitable drug formulation (96%), healthcare support at home (95%), and multi-dose dispensing from pharmacies (93%). The youngest and oldest HF patients were believed to be at the highest risk of medication non-adherence, particularly among males. Other patients estimated at increased risk included those with alcohol and/or substance abuse (89%), those with limited knowledge of medication effects (89%), those perceiving medication as useless (88%), and those with cognitive impairment (86%). Most participants (73%) agreed that healthcare providers should assess and document MA in clinical care. These findings provide a comprehensive overview of factors that cardiac healthcare providers believe influence non-adherence in HF patients, contributing to the development of a HF-specific MA scale.

The impact of patient characteristics and social drivers of health factors on oral oncolytic adherence

BACKGROUND

Oral oncolytic medication adherence is crucial for effective cancer treatment, yet adherence rates vary widely (16%-100%) depending on cancer subtypes, assessment methodologies, and patient contexts. The increased use of oral medications for various cancer types, although often advantageous over traditional parenteral infusions, has transferred the responsibility of medication administration and management to patients. As such, Stanford Specialty Pharmacy uses a team of pharmacists and liaisons who proactively follow-up with patients before each refill to track adherence and make recommendations where required. Although this program is a step forward in bettering patient outcomes, it does not address the root cause of medication nonadherence. It is vital to better understand trends associated with oral oncolytic medication adherence to better support patients with adherence.

OBJECTIVE

To conduct a retrospective analysis of patient records at Stanford Health Care (SHC) Specialty Pharmacy to probe correlations between patient characteristics, social determinants and drivers of health, and adherence to oral oncolytic medications to better support patients with their medication adherence.

METHODS

This population included patients aged at least 18 years who had an oral oncolytic dispensed from SHC Specialty Pharmacy between May 2022 and April 2023, with patient characteristics and adherence data taken from patients' electronic health records. Medication nonadherence was defined as a proportion of days covered less than 80%. Using multivariable mixed-effects logistic regression, the rate of nonadherence was compared across several patient characteristics, including age, race and ethnicity, and geographic residence.

RESULTS

Among 939 patients, 73.75% demonstrated medication adherence, highlighting a high adherence rate within the SHC Specialty Pharmacy cohort. Smoking was significantly associated with 395% higher odds of nonadherence (95% CI = 1.07 - 14.6; P = 0.04) compared with smoking abstinence, whereas patients with obesity presented 59% lower odds of nonadherence compared with patients with normal weight (95% CI = 0.24-0.69; P < 0.001). Additionally, trends in primary language, race and ethnicity, and geographic residence in relation to medication adherence were seen.

CONCLUSIONS

These findings show multiple patient characteristics that are associated with oral oncolytic adherence. These identified patterns and additional studies will better inform targeted interventions for achieving equitable care and enhancing access to effective cancer treatments, leading to improved patient outcomes.

Long-term impact of socioeconomic status after acute myocardial infarction in Korea

BACKGROUND AND AIMS

Socioeconomic status (SES) is known to impact the prognosis of acute myocardial infarction (AMI). However, due to the limited scope of previous studies, this study aimed to investigate the impact of SES on the prognosis of AMI patients within the Korean national healthcare insurance system.

METHODS AND RESULTS

A retrospective cohort study included patients who were diagnosed with AMI between 2007 and 2008 from the Korean National Health Insurance Service and underwent a national health check-up program. Primary endpoint was all-cause mortality. The median follow-up duration was 13.5 years. The SES was divided into tertile scale based on insurance premiums and economic status. Tertile 1 (T1) was the lowest SES, and tertile 3 (T3) was the highest SES. A total of 5971 patients were included, of whom 4329 were employed insured (EI), and 1642 were self-employed insured (SI). After adjusted confounding variables, the Cox-regression model showed SI was associated with worse outcome compared with EI (hazard ratio (HR) [95 % confidence intervals (CIs)], 1.11 [1.02-1.22]). Among individuals in EI, lower economic status showed a trend of worse outcome, but it was not significant (lower tertile vs. higher tertile group, HR [95 % CIs], 1.01 [0.88-1.14]). However, compared with T3 in SI, HRs (95 % CIs) for all-cause death in T2 and T1 were 1.33 (1.09-1.63) and 1.34 (1.10-1.64), respectively.

CONCLUSION

SES significantly affected the long-term outcome in patients with AMI. SI and lower economic status in SI were associated with a higher mortality rate than EI and higher economic status, respectively. Further investigation of the underlying role of SES in increased mortality after AMI is warranted.

The impact of interprofessional collaboration between pharmacists and community health workers on medication adherence: a systematic review

BACKGROUND

There is increasing evidence to support the effectiveness of interventions involving community health workers (CHWs) in improving patient health outcomes, which reinforces their growing integration in healthcare teams. However, little is known about the interprofessional collaboration between pharmacists and CHWs. This systematic review aimed to explore the impact of interprofessional interventions involving pharmacists and CHWs on patient medication adherence.

METHODS

The English language scientific literature published in Embase, MEDLINE, Web of Science, CINAHL, Scopus, plus the grey literature were searched in October 2024. Using the software Covidence, two authors screened article titles and abstracts and assessed full-text articles for eligibility. Studies were included if (i) the intervention was delivered by pharmacists and CHWs and (ii) reported on medication adherence outcomes. Data were extracted using a customized template using Excel and synthetized narratively. The Effective Public Health Practice Project quality assessment tool was used to assess the studies' methodological quality.

RESULTS

Eight studies met the inclusion criteria, including a total of 1577 participants. Seven studies were conducted in the United States, and six were published since 2020. The interventions consisted of medication therapy management, medication reconciliation, and repeated education sessions. The CHW shared clinical and non-clinical patient information and ensured a culturally safe environment while the pharmacist delivered the clinical intervention. In five studies, medication adherence was evaluated solely through patient self-reported measures. One study used an objective measure (i.e., pharmacy refill records) to evaluate medication adherence. Only two studies assessed medication adherence using both self-reported and objective measures (i.e., pill count and proportion of days covered). A significant improvement in medication adherence was observed in three of the eight studies. Half of the studies were of weak quality and half of moderate quality.

CONCLUSIONS

There was a small number of studies identified which focused on the impact of interprofessional collaboration between pharmacists and CHWs on medication adherence. The impact of the interprofessional interventions on medication adherence was limited. Further studies of higher quality are needed to better evaluate the impact of such collaboration on patient health outcomes.

REGISTRATION

PROSPERO, ID CRD42024526969.

Social Determinants of Health and Medication Adherence in Older Adults with Prevalent Chronic Conditions in the United States: An Analysis of the National Health and Nutrition Examination Survey (NHANES) 2009-2018

BACKGROUND

The older adult population is rapidly expanding in the United States (US), with a high prevalence of high blood pressure, high cholesterol, and diabetes. Medication nonadherence is prevalent in this population, with less evidence on the influence of social determinants of health (SDoH). Thus, the objective of this study was to identify and prioritize SDoH associated with medication adherence among US older adults with these comorbidities.

METHOD

Using the World Health Organization Commission on Social Determinants of Health and Pharmacy Quality Alliance Medication Access Conceptual Frameworks, publicly available National Health and Nutrition Examination Survey datasets (2009-2018) were cross-sectionally analyzed among respondents aged 65 and older who were diagnosed with study diseases. Data analyses included descriptive statistics, and logistic regression using an alpha level of 0.05.

RESULT

Analyses included 5513 respondents' data. Bivariate analysis revealed significant differences in medication adherence based on several structural (e.g., ethnicity) and intermediary (e.g., disability status) determinants of health. Multivariable analysis revealed significant differences in medication adherence for alcohol consumption (p = 0.034) and usual healthcare place (p = 0.001).

CONCLUSIONS

The study findings underscore pertinent implications for public health and policy, with specific SDoH being the most likely to affect medication adherence in common chronic conditions among older adults in the US.

Pharmacoequity measurement framework: A tool to reduce health disparities

Pharmacoequity is a health system and policy goal of ensuring equitable access to high-quality medications for all individuals, regardless of factors such as race, ethnicity, socioeconomic status, or resource availability to reduce health disparities. Although measurement frameworks have been widely used in health equity contexts, a focused framework for pharmacoequity remains a critical gap. In this article, we introduce a novel pharmacoequity measurement framework anchored in the patient medication-use journey. The framework includes the following domains: (1) access to health care services, (2) prescription generation, (3) primary medication nonadherence, (4) secondary medication nonadherence, and (5) medication monitoring. For each domain, we provide examples of outcome measures and potential data sources that can be used for evaluation. We also outline an implementation workflow of the pharmacoequity measurement framework that population health stakeholders can use across various settings (eg, health systems, health plans). The framework provides a structured approach to identify existing gaps in the path toward achieving pharmacoequity and lay the foundation for targeted interventions. Additionally, it enables ongoing monitoring of progress toward achieving pharmacoequity while identifying interventions that are effective, scalable, and sustainable.

A scoping review and expert consensus on digital determinants of health

Objective

To map how social, commercial, political and digital determinants of health have changed or emerged during the recent digital transformation of society and to identify priority areas for policy action.

Methods

We systematically searched MEDLINE, Embase and Web of Science on 24 September 2023, to identify eligible reviews published in 2018 and later. To ensure we included the most recent literature, we supplemented our review with non-systematic searches in PubMed® and Google Scholar, along with records identified by subject matter experts. Using thematic analysis, we clustered the extracted data into five societal domains affected by digitalization. The clustering also informed a novel framework, which the authors and contributors reviewed for comprehensiveness and accuracy. Using a two-round consensus process, we rated the identified determinants into high, moderate and low urgency for policy actions.

Findings

We identified 13 804 records, of which 204 met the inclusion criteria. A total of 127 health determinants were found to have emerged or changed during the digital transformation of society (37 digital, 33 social, 33 commercial and economic and 24 political determinants). Of these, 30 determinants (23.6%) were considered particularly urgent for policy action.

Conclusion

This review offers a comprehensive overview of health determinants across digital, social, commercial and economic, and political domains, highlighting how policy decisions, individual behaviours and broader factors influence health by digitalization. The findings deepen our understanding of how health outcomes manifest within a digital ecosystem and inform strategies for addressing the complex and evolving networks of health determinants.

Clinical features associated with self-reported food insecurity in people with cystic fibrosis

BACKGROUND

Food insecurity (FI) is more prevalent in people with cystic fibrosis (PwCF) than the reported national prevalence, but there are limited data on the relationship between FI and health outcomes in PwCF. The objective of this study was to analyze the relationship between FI in PwCF and pulmonary and nutritional status.

METHODS

We leveraged an electronic cross-sectional survey that ascertained FI status and gave participants the option to link their survey data to their records in the Cystic Fibrosis Foundation Patient Registry (CFFPR). Linear regression and negative binomial models were used to estimate the associations in mean differences between FI and percent predicted FEV1 (ppFEV1), nutritional indices, and hospitalizations.

RESULTS

There were 1,856 respondents, 1,234 (66.5 %) of whom granted permission to link to the CFFPR. FI was present in 352 (28 %) of the respondents. FI was associated with lower ppFEV1 (-6.5; 95 % CI -9.9, -3.1); however, this was no longer statistically significant after adjusting for confounders. FI was independently associated with increased hospitalizations. Higher weight for age was significantly associated with FI in the adjusted model, but there were no significant associations between height for age or absolute weight and body mass index (BMI) in adults.

CONCLUSIONS

FI in PwCF is associated with adverse health outcomes. These results support screening for FI during routine visits. Further studies are needed to investigate causal relationships between FI and adverse clinical outcomes.

Satisfaction and Usability of a Commercially Available Medication Adherence App (Medisafe) Among Medically Underserved Patients With Chronic Illnesses: Survey Study

BACKGROUND

Research supports the use of mobile phone apps to promote medication adherence, but the use of and satisfaction with these apps among medically underserved patients with chronic illnesses remain unclear.

OBJECTIVE

This study reports on the overall use of and satisfaction with a medication adherence app (Medisafe) in a medically underserved population.

METHODS

Medically underserved adults who received care for one or more chronic illnesses at a federally qualified health center (FQHC) were randomized to an intervention group in a larger randomized controlled trial and used the app for 1 month (n=30), after which they completed a web-based survey. Objective data on app usage were provided as secondary data by the app company.

RESULTS

The participants were very satisfied with the app, with all participants (30/30, 100%) somewhat or strongly agreeing that they would recommend the app to family and friends. Participants strongly agreed (28/30, 93%) that the reminders helped them remember to take their medications at the correct time each day, and they (28/30, 93%) found the app easy to use. Additional features accessed by some included educational features and the adherence report. Participants noted the helpfulness of having a medication list on their phones, and some used it during medication reconciliation at doctor visits. Use of the Medfriend feature, which alerts a social support person if a medication is missed, was low (n=2), but those who used it were very positive about the feature.

CONCLUSIONS

A commercially available medication adherence app was found to be useful by participants, and they were satisfied with the app and the additional features provided. The use of medication adherence mobile phone apps has the potential to positively influence chronic disease management in a medically underserved population on a large scale.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05098743; https://clinicaltrials.gov/study/NCT05098743.

Pharmacoequity measurement framework: A tool to reduce health disparities

Pharmacoequity is a health system and policy goal of ensuring equitable access to high-quality medications for all individuals, regardless of factors such as race, ethnicity, socioeconomic status, or resource availability to reduce health disparities. Although measurement frameworks have been widely used in health equity contexts, a focused framework for pharmacoequity remains a critical gap. In this article, we introduce a novel pharmacoequity measurement framework anchored in the patient medication-use journey. The framework includes the following domains: (1) access to health care services, (2) prescription generation, (3) primary medication nonadherence, (4) secondary medication nonadherence, and (5) medication monitoring. For each domain, we provide examples of outcome measures and potential data sources that can be used for evaluation. We also outline an implementation workflow of the pharmacoequity measurement framework that population health stakeholders can use across various settings (eg, health systems, health plans). The framework provides a structured approach to identify existing gaps in the path toward achieving pharmacoequity and lay the foundation for targeted interventions. Additionally, it enables ongoing monitoring of progress toward achieving pharmacoequity while identifying interventions that are effective, scalable, and sustainable.

Assessment of adherence to American Diabetes Association guidelines and evaluation of social determinants of health and interventions in patients with type 2 diabetes mellitus in a nurse practitioner-owned clinic

BACKGROUND

This was an ongoing quality-improvement (QI) project that aimed to assess the quality of nurse practitioner (NP)-driven diabetes care based on the 2023 American Diabetes Association (ADA) Standards of Care (SOC) at a NP-owned primary care practice. In addition, a more recent focus was the assessment of and intervention on social determinants of health (SDOH). Nationally, 47.4% of people with diabetes mellitus (DM) have an HbA1C of >7.0%. Adherence to ADA SOC for DM management minimizes the risk of diabetes-associated complications.

LOCAL PROBLEM

At a NP-owned clinic, within one year, the average A1Cs improved in all patients except those with positive SDOH despite receiving similar care. SDOH predicts DM prevalence and severity of progression, yet screening is not consistently performed or documented.

METHODS

An ongoing retrospective chart review since 2013 has assessed adherence to ADA SOC among adult patients with type 2 DM at an NP-owned practice. Multiple Plan-Do-Study-Act (PDSA) cycles have resulted in new recommendations that have promoted adherence to diabetes metrics and improvement in overall mean A1C.

INTERVENTIONS

The current PDSA cycle emphasizes the creation and implementation of evidence-based interventions to assist NPs in addressing social needs at a NP-owned practice.

RESULTS

Recent data collection has included frequency of SDOH screening, identifying social needs, gaps in SDOH documentation, and has found overall higher A1Cs in patients with positive screens.

CONCLUSIONS

Project intervention of social workers collaboration with NPs resulted in improvement in addressing social needs in patients with type 2 diabetes mellitus.

Medication adherence in allergic diseases and asthma: a literature review

Patients' collaboration with healthcare providers, along with their individual dedication to follow medical recommendations, is a crucial component of effective therapy in chronic diseases. If a patient fails to fill their prescription, administers the medication improperly in terms of method and/or dosage, misses follow-up visits, or discontinues the treatment for any reason, these lapses can adversely affect disease management, impairing the effectiveness of symptom relief and prevention of progression and complications. A comparable situation pertains to allergic diseases, which require long-term and consistent treatment to achieve symptom alleviation and control. Research has shown that adherence rates for long-term therapy in chronic diseases have improved marginally over the years and continue to hover at approximately the figure published in a World Health Organization (WHO) report "Adherence to long-term therapies: evidence for action." from 2003, which had stated that only 50% of patients in developed countries follow medical recommendations and that this rate would be even lower in developing countries. Over 20 years later, literature indicated that there has been only a slight improvement on the matter, leaving room for developing and implementing effective solutions to improve medication compliance. Further investigation on this matter is required. Causes for non-adherence classified by the Global Initiative for Asthma in their main report seem to correspond to those of the report by the WHO. Similar dependency might be determined by other allergic diseases as they fit chronic disease criteria, and the issue of non-adherence affects them too. This literature review seeks to compile and synthesize current insights on factors that influence adherence, as well as explore potential methods for monitoring, evaluating, and improving its outcomes in chronic diseases related to the medical field of allergology, such as asthma, allergic rhinitis, allergic conjunctivitis, rhinoconjunctivitis, atopic dermatitis, and urticaria.

Factors Affecting Adherence in Allergic Disorders and Strategies for Improvement

Addressing patient adherence is a key element in ensuring positive health outcomes and improving health-related quality of life for patients with atopic and immunologic disorders. Understanding the complex etiologies of patient nonadherence and identifying real-world solutions is important for clinicians, patients, and systems to design and effect change. This review serves as an important resource for defining key issues related to patient nonadherence and outlines solutions, resources, knowledge gaps, and advocacy areas across five domains: health care access, financial considerations, socioenvironmental factors, health literacy, and psychosocial factors. To allow for more easily digestible and usable content, we describe solutions based on three macrolevels of focus: patient, clinician, and system. This review and interactive tool kit serve as an educational resource and call to action to improve equitable distribution of resources, institutional policies, patient-centered care, and practice guidelines for improving health outcomes for all patients with atopic and immunologic disorders.

Area deprivation index impact on type 2 diabetes outcomes in a regional health plan

BACKGROUND

Rates of attainment of high-quality diabetes care have been shown to be lower for those living in more disadvantaged and rural areas. Diabetes management relies on access to care and is impacted by physical, social, and economic factors. Area deprivation index (ADI) is one way to quantify geographic disparities in aggregate. We aimed to investigate how ADI impacts outcomes in members with type 2 diabetes enrolled in a large, regional health plan.

OBJECTIVE

To evalute clinical and economic objectives. Clinical objectives included the percentage of members who achieved hemoglobin A1c (A1c) goal level of 7% or less, the percentage of members who received comorbidity-focused therapies, noninsulin diabetes medication adherence, and the frequency and type of health care services used. Economic outcomes included per member per month differences in total cost of care, pharmacy cost, medical cost, and diabetes-associated cost.

METHODS

This retrospective review of pharmacy and medical claims included 8,814 adult members with newly diagnosed type 2 diabetes enrolled in an integrated health plan during calendar year 2021. To be included, members were required to be at least 18 years of age, reside in Pennsylvania, and have continuous enrollment for 2 years prior to type 2 diabetes diagnosis. State-level ADI data were derived for each member and applied to the Census block group on file in the administrative claims data. The study population deciles were grouped into ADI quintiles for analysis. Multivariable regression models and descriptive statistics were used to evaluate the association between ADI and outcomes while controlling for confounding variables.

RESULTS

There were no statistically significant differences between any ADI quintile for achievement of A1c goal or receipt of comorbidity-focused therapy. Significant differences were identified between ADI quintiles 1 (least deprived) and 5 (most deprived) for obtainment of at least 1 A1c test during calendar year 2021 (72% vs 56%, P < 0.01) and adherence to noninsulin diabetes medications (70% vs 62%, P < 0.01). Significant differences were also identified for all-cause inpatient, outpatient, and unplanned health care service utilization. The difference in per member per month all-cause total cost of care was on average $363.50 less for those living in ADI quintile 1 vs those in quintile 5 (P < 0.01).

CONCLUSIONS

Significant differences were identified between ADI quintiles 1 and 5 for noninsulin diabetes medication adherence, frequency of A1c test claims, all-cause health care service utilization, and total cost of care. There were no statistically significant differences between ADI quintiles for achievement of A1c goal or receipt of comorbidity-focused therapies.

Revealing the impact of social circumstances on the selection of cancer therapy through natural language processing of social work notes

Objective

We aimed to investigate the impact of social circumstances on cancer therapy selection using natural language processing to derive insights from social worker documentation.

Materials and Methods

We developed and employed a Bidirectional Encoder Representations from Transformers (BERT) based approach, using a hierarchical multi-step BERT model (BERT-MS), to predict the prescription of targeted cancer therapy to patients based solely on documentation by clinical social workers. Our corpus included free-text clinical social work notes, combined with medication prescription information, for all patients treated for breast cancer at UCSF between 2012 and 2021. We conducted a feature importance analysis to identify the specific social circumstances that impact cancer therapy regimen.

Results

Using only social work notes, we consistently predicted the administration of targeted therapies, suggesting systematic differences in treatment selection exist due to non-clinical factors. The findings were confirmed by several language models, with GatorTron achieving the best performance with an area under the receiver operating characteristic curve (AUROC) of 0.721 and a Macro F1 score of 0.616. The UCSF BERT-MS model, capable of leveraging multiple pieces of notes, surpassed the UCSF-BERT model in both AUROC and Macro-F1. Our feature importance analysis identified several clinically intuitive social determinants of health that potentially contribute to disparities in treatment.

Discussion

Leveraging social work notes can be instrumental in identifying disparities in clinical decision-making. Hypotheses generated in an automated way could be used to guide patient-specific quality improvement interventions. Further validation with diverse clinical outcomes and prospective studies is essential.

Conclusions

Our findings indicate that significant disparities exist among breast cancer patients receiving different types of therapies based on social determinants of health. Social work reports play a crucial role in understanding these disparities in clinical decision-making.

Policy instruments for the governance of the social drivers of health data in clinical and research settings: a policy mapping brief

This paper maps policy instrument use for the social drivers of health (SDoH) data governance in clinical and research settings. In the United States, Centers for Medicare and Medicaid Services (CMS) and National Institutes of Health (NIH) advocate for standardized data capture. Yet, challenges persist, including limited adoption of CMS-issued SDoH risk codes and gaps in reporting SDoH in clinical trial literature. The mapping across clinical and research SDoH reporting emerges as a comprehensive solution that requires policy support. Specifically, the findings presented in this paper support future policy development through regulatory instruments, fiscal incentives, and knowledge exchange. Actionable recommendations for the United States and international contexts include convening interdisciplinary taskforces, developing agency guidelines for process evaluation, and establishing ethical principles for SDoH data use.

Antihypertensive Medication Adherence and Medical Costs, Health Care Use, and Labor Productivity Among People With Hypertension

BACKGROUND

Hypertension affects nearly half of US adults yet remains inadequately controlled in over three-quarters of these cases. This study aimed to assess the association between adherence to antihypertensive medications and total medical costs, health care use, and productivity-related outcomes.

METHODS AND RESULTS

We conducted cross-sectional analyses using MarketScan databases, which included individuals aged 18 to 64 years with noncapitated health insurance plans in 2019. Adherence was defined as ≥80% medication possession ratio for prescribed antihypertensive medications. We used a generalized linear model to estimate total medical costs, a negative binomial model to estimate health care use (emergency department visits and inpatient admissions), an exponential hurdle model to estimate productivity-related outcomes (number of sick absences, short-term disability, long-term disability), and a 2-part model to estimate productivity-related costs in 2019 US dollars. All models were adjusted for age, sex, urbanicity, census region, and comorbidities. We reported average marginal effects for outcomes related to antihypertensive medication adherence. Among 379 503 individuals with hypertension in 2019, 54.4% adhered to antihypertensives. Per person, antihypertensive medication adherence was associated with $1441 lower total medical costs, $11 lower sick absence costs, $291 lower short-term disability costs, and $69 lower long-term disability costs. Per 1000 individuals, medication adherence was associated with lower health care use, including 200 fewer emergency department visits and 90 fewer inpatient admissions, and productivity-related outcomes, including 20 fewer sick absence days and 442 fewer short-term disability days.

CONCLUSIONS

Adherence to antihypertensives was consistently associated with lower total medical costs, reduced health care use, and improved productivity-related outcomes.

Patient Acceptance and Adherence to the COMPASS Trial Drug Recommendations Following Symptomatic Carotid Endarterectomy

BACKGROUND

The COMPASS trial demonstrated that in patients with atherosclerotic diseases, low-dose rivaroxaban and aspirin provides greater protection against subsequent major adverse cardiovascular events (MACEs) than mono-antiplatelet therapy (MAPT) alone. Drug acceptance and adherence maximizes this benefit. We have assessed drug acceptance and adherence to the COMPASS drug regime in patients following carotid endarterectomy (CEA) for symptomatic carotid artery stenosis.

METHODS

Following CEA, the views of 63 patients on the COMPASS drug regime were assessed using the Beliefs about Medicine Questionnaire and drug adherence was determined using the Sidorkiewicz scoring system. These views were compared with those of 54 patients on MAPT. Side effects (bleeding and drug reactions) and new MACE were recorded.

RESULTS

Post-CEA patients on the COMPASS drug regimen had strong positive views on the necessity to take these drugs (necessity scale 19.6 ± 3.6). Although there were some concerns about the COMPASS drug regimen, these were not strongly held (concern cscale 11.8 ± 4.9) and the necessity-concerns differential was positive (7.8 ± 6.2). The Drug Adherence Score was "High" to "Good" (level of drug adherence 1.7 ± 1.0). The Beliefs about Medicine Questionnaire scales and Drug Adherence Score of post-CEA patients on the COMPASS drug regimen were similar to those on MAPT. The incidence of post-CEA MACE and side effects were similar for those on the COMPASS drug regimen and MAPT.

CONCLUSIONS

Post-CEA patients on the COMPASS drug regimen had positive views on taking the drugs and drug adherence was high. We did not identify any patient-related barriers to the use of the COMPASS drug regimen to further reduce cardiovascular events.

Potential benefits of incorporating social determinants of health screening on comprehensive medication management effectiveness

BACKGROUND

Increasingly, pharmacists are asked to incorporate social determinants of health (SDoH) identification and referral into clinical practice. However, to date, no studies have evaluated clinical changes from embedding SDoH screening into the delivery of comprehensive medication management (CMM) in patients with chronic conditions.

OBJECTIVE

To examine the clinical effectiveness of implementing a clinical pharmacist-led SDoH screening and referral process as part of CMM encounters across a network of 7 Federally Qualified Health Centers (FQHCs).

METHODS

We used a retrospective cohort design to evaluate the effectiveness of integrating SDoH screening into CMM across a network of 7 FQHCs. A difference-in-difference approach was used to compare the effectiveness of CMM between patients with and without SDoH needs on the probability of achieving clinical control for blood pressure (<140 systolic/90 diastolic mm Hg) and diabetes (<9% hemoglobin A1c).

RESULTS

Among 807 patients receiving CMM in 2023, 595 (74%) were screened for SDoH. 55.1% of patients screened had 1 or more SDoH, most commonly facing barriers related to insurance (22.0%), language (11.3%), transportation (9.1%), health behaviors (7.1%), income/employment (5.9%), and food insecurity (5.6%). Comparing patients with SDoH needs with those without, the proportion of patients controlled at baseline was 66.3% vs 72.3% for hypertension and 39.0% vs 75.4% for diabetes, respectively. Following a CMM encounter, the proportion of patients who achieved blood pressure control increased 7.6% more (P = 0.225) among patients with SDoH needs than in those without SDoH, whereas diabetes control rates increased 13.3% more (P = 0.143).

CONCLUSIONS

Although not statistically significant, the results of this pilot evaluation suggest the potential for meaningful clinical improvements from screening and referral of SDoH needs as a part of CMM encounters. These results should be corroborated using a larger, more robust study design.

Impact of Patient Personality on Adherence to Oral Anticancer Medications: An Opportunity?

Adherence to prescribed oral anticancer therapy is an important determinant of patient outcomes, including progression-free and overall survival. While many factors (eg, medication side effects and out-of-pocket costs, problems with insurance authorization, and timely medication refills) can affect adherence, one that is relatively unexplored is the impact of a patient's attitude and personality. Patient personality influences medication adherence and persistence in nonmalignant chronic conditions such as cardiovascular disease and diabetes. In breast cancer and chronic myeloid leukemia, studies suggest that personality also affects adherence to oral chemotherapy which can be targeted to improve adherence. In this viewpoint, we highlight the opportunity of incorporating patient personality as interventions to oral cancer therapy adherence and discuss current barriers to implementation.

The impact of frailty on the use of social services, medication and mortality risk: a cross-sectional study

BACKGROUND

Frailty is a common condition in older people, and its prevalence increases with age. With an ageing population, the adverse consequences of frailty cause an increasing appeal to the health care system. The impact of frailty on population level is often assessed using adverse health outcomes, such as mortality and medication use. Use of community nursing services and services offered through the Social Support Act are hardly used in assessing the impact of frailty. However, these services are important types of care use, especially in relation to ageing in place. In this cross-sectional study, we aimed to assess the impact of frailty on use of Social Support Act services, use of community nursing services, medication use, and mortality.

METHODS

We used a frailty index, the FI-HM37, that was based on data from the Dutch Public Health Monitor 2016, for which respondents ≥ 65 years of age were included (n = 233,498). The association between frailty, the use of Social Support Act services, community nursing services and medication use was assessed using the Zero Inflated Poisson (ZIP) regression method. Survival analysis using Cox proportional hazards regression was conducted to estimate the hazard ratios for the association between frailty and mortality.

RESULTS

The ZIP regression with a final sample size of 181,350 showed that frailty affected care use even after correcting for several covariates mentioned in the literature. For each unit increase in frailty index (FI) score, the relative probability of using zero Social Support services decreased with 7.7 (p < 0.001). The relative chance of zero community nursing services decreased with 4.0 (p < 0.001) for each unit increase in FI score. Furthermore, for each unit increase in FI score, the likelihood of zero medication use decreased with 2.9 (p < 0.001). Finally, for each unit increase in FI score, the mortality risk was 3.8 times higher (CI = 3.4-4.3; p < 0.001).

CONCLUSIONS

We demonstrated that frailty negatively affects the use of Social Support Act services, the use of community nursing services, medication use, and mortality risk. This study is the first to demonstrate the impact of frailty on Social Support Act services and community nursing services in the Netherlands. Findings emphasize the importance of frailty prevention for older people and public health policy.

A Shift in Approach to Addressing Public Health Inequities and the Effect of Societal Structural and Systemic Drivers on Social Determinants of Health

Social determinants of health (SDOH) are the conditions in which people are born, grow, live, work, and age that influence health outcomes, and structural and systemic drivers of health (SSD) are the social, cultural, political, and economic contexts that create and shape SDOH. With the integration of constructs from previous examples, we propose an SSD model that broadens the contextual effect of these driving forces or factors rooted in the Centers for Disease Control and Prevention's SDOH framework. Our SSD model (1) presents systems and structures as multidimensional, (2) considers 10 dimensions as discrete and intersectional, and (3) acknowledges health-related effects over time at different life stages and across generations. We also present an application of this SSD model to the housing domain and describe how SSD affect SDOH through multiple mechanisms that may lead to unequal resources, opportunities, and consequences contributing to a disproportionate burden of disease, illness, and death in the US population. Our enhanced SDOH framework offers an innovative and promising model for multidimensional, collaborative public health approaches toward achieving health equity and eliminating health disparities.

Sentiment analysis in medication adherence: using ruled-based and artificial intelligence-driven algorithms to understand patient medication experiences

BACKGROUND

Studies are exploring ways to improve medication adherence, with sentiment analysis (SA) being an underutilized innovation in pharmacy. This technique uses artificial intelligence (AI) and natural language processing to assess text for underlying feelings and emotions.

AIM

This study aimed to evaluate the use of two SA models, Valence Aware Dictionary for Sentiment Reasoning (VADER) and Emotion English DistilRoBERTa-base (DistilRoBERTa), for the identification of patients' sentiments and emotions towards their pharmacotherapy.

METHOD

A dataset containing 320,095 anonymized patients' reports of experiences with their medication was used. VADER assessed sentiment polarity on a scale from - 1 (negative) to + 1 (positive). DistilRoBERTa classified emotions into seven categories: anger, disgust, fear, joy, neutral, sadness, and surprise. Performance metrics for the models were obtained using the sklearn.metrics module of scikit-learn in Python.

RESULTS

VADER demonstrated an overall accuracy of 0.70. For negative sentiments, it achieved a precision of 0.68, recall of 0.80, and an F1-score of 0.73, while for positive sentiments, it had a precision of 0.73, recall of 0.59, and an F1-score of 0.65. The AUC for the ROC curve was 0.90. DistilRoBERTa analysis showed that higher ratings for medication effectiveness, ease of use, and satisfaction corresponded with more positive emotional responses. These results were consistent with VADER's sentiment analysis, confirming the reliability of both models.

CONCLUSION

VADER and DistilRoBERTa effectively analyzed patients' sentiments towards pharmacotherapy, providing valuable information. These findings encourage studies of SA in clinical pharmacy practice, paving the way for more personalized and effective patient care strategies.

Antineoplastic Therapy Administration Safety Standards for Adult and Pediatric Oncology: ASCO-ONS Standards

PURPOSE

To update the ASCO-Oncology Nursing Society (ONS) standards for antineoplastic therapy administration safety in adult and pediatric oncology and highlight current standards for antineoplastic therapy for adult and pediatric populations with various routes of administration and location.

METHODS

ASCO and ONS convened a multidisciplinary Expert Panel with representation of multiple organizations to conduct literature reviews and add to the standards as needed. The evidence base was combined with the opinion of the ASCO-ONS Expert Panel to develop antineoplastic safety standards and guidance. Public comments were solicited and considered in preparation of the final manuscript.

RESULTS

The standards presented here include clarification and expansion of existing standards to include home administration and other changes in processes of ordering, preparing, and administering antineoplastic therapy; the advent of immune effector cellular therapy; the importance of social determinants of health; fertility preservation; and pregnancy avoidance. In addition, the standards have added a fourth verification.

STANDARDS

Standards are provided for which health care organizations and those involved in all aspects of patient care can safely deliver antineoplastic therapy, increase the quality of care, and reduce medical errors.Additional information is available at www.asco.org/standards and www.ons.org/onf.

Adverse social determinants of health elevate uncontrolled hypertension risk: a cardio-oncology prospective cohort study

The role of social determinants of health (SDOH) in controlling hypertension (HTN) in cancer patients is unknown. We hypothesize that high SDOH scores correlate with uncontrolled HTN in hypertensive cancer patients. In our prospective study, patients completed the Protocol for Responding to & Assessing Patients' Assets, Risks & Experiences questionnaire. After integrating home and clinic blood pressure readings, uncontrolled HTN was defined as systolic blood pressure greater than or equal to 140 mm Hg and/or diastolic blood pressure greater than or equal to 90 mm Hg. Using Cox regression, we analyzed the impact of SDOH on HTN control, adjusting for relevant factors. The study involved 318 participants (median age 66.4, median follow-up 166 days, SDOH score 6.5 ± 3.2), with stress, educational insecurity, and social isolation as prevalent adverse SDOH. High SDOH scores led to 77% increased risk of uncontrolled HTN (adjusted hazards ratio = 1.77; 95% confidence interval = 1.10 to 2.83, P = .018). Urban residents with high SDOH scores were at an even greater risk. Identifying SDOH and mitigating underlying factors may help control HTN, the most typical disease process treated in all cardio-oncology clinics.

Which social determinants of health have the highest impact in community oncology to advance patient care equity and improve health outcomes? A scoping review

INTRODUCTION

To better understand the SDOH-health equity landscape within a community oncology setting to answer the research question, "Which SDOH can have the highest impact in community oncology to advance patient care equity and improve health outcomes?"

METHODS

Arksey and O'Malley's scoping review framework was used to identify evidence related to SDOH and health equity in community oncology. The study was guided by the "10-Step Framework for Continuous Patient Engagement" and a Community Advisory Board to assure relevance to patients and community providers. Literature was retrieved from literary databases and oncology organizations' websites. Eligible studies included discussion of SDOH and health equity as outlined by the World Health Organization and Centers for Disease Control and Prevention, respectively, and involved community oncology/cancer care in outpatient settings. Studies were excluded if the SDOH-health equity relationship was not discussed.

RESULTS

The review resulted in 61 exploratory and 17 confirmatory "intervention" studies addressing the impact of SDOH on health equity in community oncology settings. The most frequently SDOH-health equity pairs identified were the SDOH categories, social inclusion and non-discrimination, income and social protection, and structural conflict, all paired with the health equity category, access to care/treatment. Confirmatory studies focused on income and social protection (SDOH) and access to care/treatment (health equity); the SDOH categories, social inclusion and non-discrimination and health/general literacy-patient, paired with the health equity category, and adherence/compliance.

CONCLUSIONS

Literature highlights the SDOH and health equity relationship within the realm of oncology. Most studies on SDOH/health inequities in the community oncology setting are exploratory. There is the need to shift from documentation of cancer inequities to implementing solutions.

Pharmacist-community-based organization collaboration to address health-related social needs

BACKGROUND

Community-based organizations (CBOs) help address community issues, including health-related social needs (HRSNs). Community pharmacies are positioned to collaborate with CBOs to help their patients identify and address HRSNs to optimize medication use.

OBJECTIVES

To develop and evaluate 2 models of community pharmacy-CBO collaboration to address HRSNs facing patients taking medications.

METHODS

Two different pharmacy-CBO models were studied. The CBO-initiated model had 2 CBOs assess and refer clients to a community pharmacy to address HRSN-related medication concerns. In the pharmacy-initiated model, pharmacists screened patients for HRSNs, addressed those related to medication costs and referred patients to a CBO for other HRSNs. Documented HRSNs were extracted and analyzed. Participating pharmacy and CBO staff were interviewed. The interview recordings were transcribed and coded, using rapid qualitative analyses.

RESULTS

The CBO-initiated model screened 23 clients with 17 receiving a comprehensive medication review. In the pharmacy-initiated model, 39 patients were screened for HRSNs with 6 patients having medication costs issues addressed at the pharmacy and 23 patients being referred to the CBO. The most common HRSNs were high stress levels (43%), lack of confidence filling out forms (36%), feeling overwhelmed (34%), and inability to get food (27%). Patient-related themes from interviews were patient willingness to participate in the service, obstacles patients faced in obtaining medication therapy, and establishing patient trust. Pharmacy-related and CBO-related themes included fitting new activities into workflow, importance of time management and good communication, and establishing relationships between pharmacy and CBO personnel.

CONCLUSION

Both pharmacy-CBO models effectively identified clients in need of medication management services or patients with HRSNs affecting medication optimization. Limited trust between the patient and the party to which they were referred was an obstacle to successful referral. Developing pharmacy and CBO personal relationships is a vital key in planning and coordinating these pharmacy-CBO collaboration models.

The community pharmacist as a link to psychosocial care services: Findings and lessons from a collaborative project

The role of pharmacists is increasingly expanding to encompass holistic patient-oriented services, including prevention, health advice, and counseling. Despite this, the pharmacist's role in public psychosocial wellbeing remains understudied. Project #CAVAsa, a collaboration between Flemish Pharmacists' Network and Centers for General Wellbeing (CAW), aimed to strengthen the pharmacist's role in psychosocial care. Through training and supportive materials, pharmacists were equipped to detect, inform, and refer patients to appropriate psychosocial services. Between 2021 and 2024, 387 pharmacies participated, registering 415 patient contacts about psychosocial wellbeing. Key enabling conditions for sustainable integration of pharmacists in psychosocial care include delineating their role, strengthening knowledge and competencies, and facilitating integrated care and collaboration. Further support for pharmacists and other primary care providers in psychosocial care is needed to bridge the gap between the health and social services.

Ensuring Equitable Application of Interventions to Vulnerable Subpopulations in the Kentucky Consortium for Accountable Health Communities (KC-AHC)

Introduction

The Centers for Medicare and Medicaid Services (CMS) has funded the Accountable Health Communities (AHC) model to test whether systematically identifying and addressing the health-related social needs (HRSNs) of individuals would impact healthcare utilization and total cost of care for Medicare and Medicaid beneficiaries. Toward this effort, AHCs implement screening, referral, and community navigation services in their local areas. There are 28 CMS-funded AHCs nationwide, including the Kentucky Consortium for Accountable Health Communities (KC-AHC).

Purpsoe

This study aims to assess the equity of KC-AHC model activities in three vulnerable subpopulations: dual enrollees, disabled individuals, and women.

Methods

Twenty-eight primary care clinical sites across 19 healthcare organizations administered (inperson or telephonic) the AHC screening instrument from August 2018 to April 2021. Every six months, social needs positivity rates, navigation eligibility, service opted-in rates and delivery data were monitored among dual enrollees, disabled persons, and women. Subpopulations were compared to their comparisons (for example, non-dual enrollees) and to available benchmarked data.

Results

All proportions of subpopulation in screened beneficiaries approximated or exceeded regional benchmarks. While needs among groups fluctuated over time, most reflected positivity rates in excess of comparisons: (1) rates among females ranged from 29.6% to 36.1%, but tended to narrow (relative to males) over time; (2) disabled individuals' positivity rate ranged from 27.8% to 36.1% but also lessened over time compared with non-disabled counterparts; and (3) positive rates among the dually-enrolled ranged from 34.7% to 42.4%, with the disparity to non-dual enrollees remaining relatively stable. Rates of opt-in and receipt of navigation in dual enrollees and women did not show disparities. There was a persistent gap in opt-in rates between disabled and non-disabled beneficiaries, though one was not identified in receipt.

Implications

Results suggest that the KC-AHC adequately screened dual enrollees, disabled individuals, and women during model implementation. The AHC Model may have helped to narrow gaps in social needs between sub-populations and comparison groups, with beneficiaries becoming better connected to community services.

Medication Engagement, Determinants of Health, and A1C Levels Among Adults With Type 2 Diabetes within a Tribal Health System

PURPOSE

The purpose of this study was to examine the association between determinants of health, medication engagement, and A1C levels in adults with type 2 diabetes (T2DM) receiving Tribal health and pharmacy services.

METHODS

A retrospective analysis of 2020-2021 electronic health record data was conducted and included adult patients with T2DM using Choctaw Nation Health Services Authority prescribed ≥1 noninsulin glucose-lowering medication in 2020, had ≥1 A1C value in 2020 and 2021, and had a valid zip code in 2021. Patients receiving both insulin and other noninsulin glucose-lowering medication were included. The proportion of days covered (PDC) was used to calculate medication engagement. Statistical analyses included bivariate analysis and linear regression.

RESULTS

There were 3787 patients included in the analyses; 62.5% were considered engaged (PDC ≥ 0.8). The mean 2020 A1C level was 8.0 (64 mmol/mol) ± 1.8; 33% had an A1C of <7%, 42% had an A1C of 7% to 9%, and 25% had an A1C >9%. The mean A1C in 2021 was 7.9 (63 mmol/mol) ± 1.7; 34% had an A1C of <7%, 44% had an A1C of 7% to 9%, and 22% had an A1C >9%. Older age was weakly correlated with higher engagement; higher engagement was associated with lower A1C levels while adjusting for covariates.

CONCLUSIONS

Medication engagement was associated with lower A1C levels, and older age was weakly associated with higher engagement to noninsulin glucose-lowering medications, consistent with previous literature. No determinants of health were significantly associated with A1C levels while adjusting for covariates.

Failure to rescue following emergency general surgery: A national analysis

Background

Failure to rescue (FTR) is increasingly recognized as a quality metric but remains understudied in emergency general surgery (EGS). We sought to identify patient and operative factors associated with FTR to better inform standardized metrics to mitigate this potentially preventable event.

Methods

All adult (≥18 years) non-elective hospitalizations for large bowel resection, small bowel resection, repair of perforated ulcer, laparotomy and lysis of adhesions were identified in the 2016-2020 National Readmissions Database. Patients undergoing trauma-related operations or procedures ≤2 days of admission were excluded. FTR was defined as in-hospital death following acute kidney injury requiring dialysis (AKI), myocardial infarction, pneumonia, respiratory failure, sepsis, stroke, or thromboembolism. Multilevel mixed-effect models were developed to assess factors linked with FTR.

Results

Among 826,548 EGS operations satisfying inclusion criteria, 298,062 (36.1 %) developed at least one MAE. Of those experiencing MAE, 43,477 (14.6 %) ultimately did not survive to discharge (FTR). Following adjustment for fixed hospital level effects, only 3.5 % of the variance in FTR was attributable to center-level differences. Relative to private insurance and the highest income quartile, Medicaid insurance (AOR 1.33; 95%CI, 1.23-1.43) and the lowest income quartile (AOR 1.22; 95%CI, 1.17-1.29) were linked with increased odds of FTR.A subset analysis stratified complication-specific rates of FTR by insurance status. Relative to private insurance, Medicaid coverage and uninsured status were linked with greater odds of FTR following perioperative sepsis, pneumonia, and AKI.

Conclusion

Our findings underscore the need for increased screening and vigilance following perioperative complications to mitigate disparities in patient outcomes following high-risk EGS.

Protracted Course of Staphylococcus lugdunensis Septic Arthritis in Native Knee Joint

Staphylococcus lugdunensis is a coagulase-negative bacteria of the Staphylococcus family. It is a highly invasive organism with similar virulence to Staphylococcus aureus. It is commonly associated with bacteremia and infections of the skin, soft tissues, joints, and bones. Those with indwelling medical devices are at the highest risk of infection due to biofilm formation. Instances of native joint infections are exceedingly rare. We describe a case of a 72-year-old female with multiple comorbidities presenting with native right knee joint septic arthritis from S. lugdunensis. Due to treatment noncompliance secondary to latent social determinants of health, she faced a complicated and protracted clinical course that was treated with inpatient intravenous antibiotics and outpatient oral doxycycline. Few cases of native joint infections with S. lugdunensis have been documented, and to our knowledge, the impact of treatment noncompliance on the sequelae of septic arthritis with this organism has not been reported. Socioeconomic factors and comorbidities have been shown to increase a patient's risk for an extended joint infection with S. lugdunensis.

Association of socioeconomic vulnerability with outcomes after emergency general surgery

PURPOSE

Social determinants of health are increasingly recognized to shape health outcomes. Yet, the effect of socioeconomic vulnerability on outcomes after emergency general surgery remains under-studied.

METHODS

All adult (≥18 years) hospitalizations for emergency general surgery operations (appendectomy, cholecystectomy, laparotomy, large bowel resection, perforated ulcer repair, or small bowel resection), within 2 days of non-elective admission were tabulated in the 2016 to 2020 Nationwide Readmissions Database. Socioeconomic vulnerability was defined using relevant diagnosis codes and comprised economic, educational, healthcare, environmental, and social needs. Patients demonstrating socioeconomic vulnerability were considered Vulnerable (others: Non-Vulnerable). Multivariable models were constructed to evaluate the independent associations between socioeconomic vulnerability and key outcomes.

RESULTS

Of ∼1,788,942 patients, 177,764 (9.9%) were considered Vulnerable. Compared to Non-Vulnerable, Vulnerable patients were older (67 [55-77] vs 58 years [41-70), P < .001), more often insured by Medicaid (16.4 vs 12.7%, P < .001), and had a higher Elixhauser Comorbidity Index (4 [3-5] vs 2 [1-3], P < .001). After risk adjustment and with Non-Vulnerable as a reference, Vulnerable remained linked with a greater likelihood of in-hospital mortality (adjusted odds ratio 1.64, confidence interval 1.58-1.70) and any perioperative complication (adjusted odds ratio 2.02, confidence interval 1.98-2.06). Vulnerable also experienced a greater duration of stay (β+4.64 days, confidence interval +4.54-4.74) and hospitalization costs (β+$1,360, confidence interval +980-1,740). Further, the Vulnerable cohort demonstrated increased odds of non-home discharge (adjusted odds ratio 2.44, confidence interval 2.38-2.50) and non-elective readmission within 30 days of discharge (adjusted odds ratio 1.29, confidence interval 1.26-1.32).

CONCLUSION

Socioeconomic vulnerability is independently associated with greater morbidity, resource use, and readmission after emergency general surgery. Novel interventions are needed to build hospital screening and care pathways to improve disparities in outcomes.

Effect of medication adherence on quality of life, activation measures, and health imagine in the elderly people: a cross-sectional study

BACKGROUND

Usually, old age brings a poor quality of life due to illness and frailty. To prolong their lives and ensure their survival, all elderly patients with chronic diseases must adhere to their medications. In our study, we investigate medication adherence for elderly patients and its impact on the general health of the patient.

METHODS

We implemented a cross-sectional survey-based study with four sections in April 2022 in Saudi Arabia. Data about the participants' demographic characteristics, the Morisky Medication Adherence Scale, Patient Activation Measure (PAM) 13, and EQ-5D-5 L.

RESULTS

A total of 421 patients participated in this study, their mean age was 60.4 years, and most of them were males. Most of our population is living independently 87.9%. The vast majority of people have a low adherence record in the Morisky Medication Adherence Scale (8-MMAS) classes (score = < 6). Moreover, the average PAM13 score is 51.93 (Level2) indicating a low level of confidence and sufficient knowledge to take action. Our analysis showed a significant correlation between socioeconomic status and medication adherence. Also, there was an association between housing status and medication adherence. On the other hand, we found no correlation between medication adherence and quality of life (QOL) by EQ-5D-5 L.

CONCLUSION

Medication adherence is directly affected by living arrangements, as patients who live with a caretaker who can remind them to take their medications at the appropriate times have better medication adherence than those who live alone. Medication adherence was also significantly influenced by socioeconomic status, perhaps as a result of psychological effects and the belief of the lower-salaried population that they would be unable to afford the additional money required to cure any comorbidities that arose as a result of the disease. On the other hand, we did not find any correlation between medication adherence and quality of life. Finally, awareness of the necessity of adherence to medication for the elderly is essential.

Factors Influencing Adherence to Insomnia and Obstructive Sleep Apnea Treatments among Veterans with Mild Traumatic Brain Injury

OBJECTIVE

To understand factors influencing adherence to recommended treatment for insomnia and obstructive sleep apnea (OSA) among Veterans with mild traumatic brain injury (mTBI).

METHOD

Semi-structured interviews (n = 49) with 29 clinical stakeholders and 20 Veterans were conducted. Clinical stakeholders included Veterans Health Administration providers and policymakers involved in the management of mTBI and/or sleep disorders. Veterans included those with a clinician-confirmed mTBI with a recent history of insomnia disorder and/or OSA treatment. Themes were identified using a Descriptive and Interpretive approach.

RESULTS

Barriers to sleep disorder treatment adherence included factors associated with the patient (e.g., negative appraisal of treatment benefit), intervention (e.g., side effects), health conditions (e.g., cognitive challenges), health care system (e.g., limited availability of care), and socioeconomic status (e.g., economic instability). Similarly, facilitators of adherence included patient- (e.g., positive appraisal of treatment benefit), intervention- (e.g., flexible delivery format), condition- (e.g., accommodating cognitive impairments), health care system- (e.g., access to adherence support), and socioeconomic-related factors (e.g., social support).

CONCLUSIONS

Interviews revealed the multi-faceted nature of factors influencing adherence to sleep disorder treatment among Veterans with mTBI. Findings can inform the development of novel interventions and care delivery models that meet the complex needs of this population.

Visual axis opacification after pediatric cataract surgery - An analysis of morphology and etiology

PURPOSE

To investigate the morphological types and delineate the clinical and surgical variables associated with VAO in children undergoing pediatric cataract surgery.

METHODS

We included 33 eyes of 28 children who developed clinically significant visual axis opacification (VAO) after congenital or developmental cataract surgery. All eyes underwent a comprehensive examination under anesthesia followed by a membranectomy to clear the visual axis. We classified VAO into three subgroups: fibrotic, proliferative, and combined morphologies. We reviewed and analyzed the retrospective data and the findings during membranectomy to identify the etiological variables associated with various morphologies of VAO.

RESULTS

The median age at primary surgery was 7 (2-96) months. The median interval from primary surgery to the first documentation of VAO was 6 (1-22) months. Younger children developed VAO sooner than older children. VAO was fibrotic in 11 eyes (33%), proliferative in 18 eyes (54.5%), and combined in four eyes (12.12%). Most children with fibrotic VAO belonged to economically disadvantaged sections of society ( P = 0.04).

CONCLUSION

Lower age at primary surgery was the predominant risk factor for the development of VAO. Besides primary posterior capsulotomy and adequate anterior vitrectomy, a strict adherence to anti- inflammatory measures and follow up in necessary to prevent the occurrence of VAO. A close follow-up facilitates early detection and management, which can prevent the onset of visually impairing amblyopia.