Community Primary Care Research Articles

Extended High-Frequency Audiometry for Ototoxicity Monitoring: A Longitudinal Evaluation of Drug-Resistant Tuberculosis Treatment.

The aim of this study was to describe extended high-frequency (EHF) pure-tone audiometry monitoring of ototoxicity in a longitudinal treatment program for drug-resistant tuberculosis (DRTB). This was a retrospective record review of longitudinal conventional (0.25-8 kHz) and EHF (9-16 kHz) audiometry for ototoxicity monitoring of DRTB patients undergoing treatment at community-based clinics between 2013 and 2017. Data from 69 patients with an average age of 37.9 years (SD = 11.2, range: 16.0-63.8 years) were included. Patients were assessed by primary health care audiologists (87%) or community health workers (13%) using portable audiological equipment. The average length of time between initial and exit assessments was 84.6 days (SD = 74.2, range: 2-335 days). EHF ototoxicity of a mild or greater degree of hearing loss (> 25 dB HL in one or both ears across frequencies) was evident in 85.5% of patients' posttreatment, compared with 47.8% of patients across conventional frequencies. EHF audiometry demonstrated an ototoxic shift (American Speech-Language-Hearing Association criteria) in 56.5% of cases compared with 31.9% when only conventional audiometry was considered. Mean hearing deterioration for patients was significant across EHFs (9-16 kHz) bilaterally (p < .05). Absent EHF thresholds at the initial assessment, owing to maximum output limits, was a limitation that occurred most frequently at 16 kHz (17.4%, 24/138). EHF audiometry is most sensitive for the early detection of ototoxicity and should be included in monitoring programs. Clinical ototoxicity monitoring protocols should consider shortened assessment approaches that target frequencies most sensitive to ototoxicity, including EHFs. https://doi.org/10.23641/asha.21651242.

Improving Care Coordination Between Veterans Health Administration Primary Care Teams and Community Home Health Aide Providers: A Qualitative Study.

Effective coordination between medical and long-term services is essential to high-quality primary care for older adults, but can be challenging. Our study assessed coordination and communication through semi-structured interviews with Veterans Health Administration (VHA) primary care clinicians (n = 9); VHA-contracted home health agencies (n = 6); and home health aides (n = 8) caring for veterans at an urban VHA medical center. Participants reported (1) establishing home health services is complex, requiring collaboration between many individuals and systems; (2) communication between medical teams and agencies is often reactive; (3) formal communication channels between medical teams and agencies are lacking; (4) aides are an important source of patient information; and (5) aides report important information, but rarely receive it. Removing structural communication barriers; incentivizing reporting channels and information sharing between aides, agencies, and primary care teams; and integrating aides into interdisciplinary teams may improve coordination of medical and long-term care.

Cross‐Validation of a Novel Apathy Measurement Model in a Diverse Ambulatory Cohort of Older Adults with Memory Complaints

AbstractBackgroundApathy is a psychological syndrome characterized by a loss of motivation, goal‐directed activity, and diminished emotion (Marin, 1990), which may mediate the relationship between depression and cognitive impairment (Funes et al., 2018) and be an early risk factor for dementia that precedes predementia syndromes including non‐amnestic mild cognitive impairment (NA‐MCI) and motoric cognitive risk syndrome (MCR) (Ceïde et al., 2020). While there is no gold standard measure of apathy, assessment tools vary from subscales of depression instruments to apathy specific questionnaires. Our group conducted a confirmatory factor analysis (CFA) of the Geriatric Depression Scale (GDS) in a pooled cohort of community and memory clinic older adults which identified a novel 2‐factor model that distinguishes apathy from depression. The goal of this study was to cross‐validate this novel apathy measurement model in a bilingual urban primary care clinical cohort.MethodWe conducted a CFA in the primary care cohort that was composed of participants from the 5‐Cog Battery for Detecting Cognitive Impairment and Dementia clinical trial. We compared the reliability measures and model fit indices of both the previous 2‐factor model and this novel model. Cohort characteristics were compared as well.ResultThe primary care clinical cohort was significantly different from the community and memory clinic cohorts in all baseline characteristics. The CFA of the primary care cohort yielded depression and apathy factors with good reliability (α = .78 and .63, respectively). Despite the fact that the primary care cohort included Spanish speakers, it performed similarly to the reliability of the depression and apathy factors in the community dwelling and memory clinic pooled cohort (α = .75 and .63, respectively). Both the primary care and memory clinic cohorts had higher depression and apathy scale scores compared to the community dwelling cohort, with the primary care cohort scoring in between the community and memory clinic cohorts in both depression and apathy scale measurements.ConclusionOur 2‐factor measurement model demonstrated similar reliability and fit across 3 distinct cohorts (community dwelling, memory clinic and primary care clinic) and 2 languages (English and Spanish), indicating its appropriateness as an apathy measurement model in further clinical trials.

Antidepressant Adherence Among Hispanics: Patients in an Integrated Health Care Model.

We report on antidepressant (AD) adherence among Hispanics seeking mental health services in a community primary care clinic in Texas as an ancillary outcome from a National Institutes of Health-funded study that collected data on Hispanic AD adherence over a period of two years (February 2016-February 2018). Adherence to AD medications was measured throughout the year-long trial and compared across various demographic characteristics. Since Hispanic individuals often experience stigma and cultural barriers related to AD treatment, we sought to understand what factors may increase the likelihood of non-adherence in this population. This study focused on 69 patients who were prescribed AD medications while receiving treatment through an integrated health care model. Adherence was measured with the Patient Adherence Questionnaire, a validated 2-item questionnaire that asks patients about their medication use (missed medications or dosage changes) over the past week. We looked at patient adherence at two key time points (4-weeks and 13-weeks) and utilized logistic regression to identify factors that may increase or decrease the likelihood of adherence in Hispanic patients at a community primary care clinic. Non-adherence to AD medication was 49.3% at 4-weeks and 57% at 13-weeks post-treatment initiation. Logistic regression analyses revealed that age was the only significant predictor of AD non-adherence. As age increased, the likelihood of adherence increased by 12.2% at 13-weeks post-treatment initiation and by 11.1% at 4-weeks post-treatment initiation. The likelihood of Hispanic patients to adhere to AD therapy increased with the age of the patient. Since primary care is the most likely place to be prescribed an AD for Hispanic patients, further research to better understand adherence is essential. Integrated health care interventions designed to help identify, reduce, or eliminate barriers to adherence and improve cultural understanding may help address issues of non-adherence in primary care settings.

Integrated behavioral health education using simulated patients for pediatric residents engaged in a primary care community of practice.

Novel teaching curricula using simulated patients (SP) and a team-based approach are needed to teach pediatric residents how to approach behavioral health (BH) conditions in an integrated care setting. This mixed-methods study evaluated a pilot curriculum on BH integration in pediatric primary care. Two 1-hour didactic sessions and 3 hours of SP encounters focused on attention-deficit/hyperactivity disorder (ADHD) and anxiety, followed by facilitated debriefings that included interdisciplinary team members. Residents completed pre- and postcurriculum surveys on self-efficacy in patient assessment and management. A subset of residents participated in semistructured interviews, reviewing video recordings of their SP encounters to facilitate reflection on their learning. We conducted qualitative analysis of interview transcripts until we reached thematic saturation. Residents (n = 31) reported significantly improved self-efficacy in the majority of BH skills (p ≤ .05 to p ≤ .0001), including assessing and discussing concerns with families, using screening tools, developing management plans, prescribing medications, and performing warm handoffs with BH clinicians. In analysis of 15 interviews, four themes emerged: shared experiences, mutual engagement, contextual meaning, and behavioral change, which aligned with the components of the communities of practice framework. Sharing experiences within an integrated BH-pediatric primary care learning community enhanced activated, self-reflective learning and consequent behavioral change that contributed to identity formation. Resident participation in the integrated BH-pediatric curriculum improved self-efficacy in patient care for anxiety and ADHD. Curricula implemented in integrated learning communities could help promote reflection and improve integrated pediatric-BH care, including warm handoffs from pediatric to BH providers. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Leukemia can be Effectively Early Predicted in Routine Physical Examination with the Assistance of Machine Learning Models.

The diagnosis of leukemia relies very much on the results of bone marrow examinations, which is never generally performed in routine physical examination. In many rural areas even community hospitals and primary care clinics, the lack of hematological specialist and facility does not allow a definite diagnosis of leukemia. Thus, there will be a significant benefit if machine learning (ML) models could help early predict leukemia using preliminary blood test data in a routine physical examination in community hospitals to save time before a definite diagnosis. We collected the routine physical examination data of 1230 newly diagnosed leukemia patients and 1300 healthy people. We trained and tested 3 machine learning (ML) models including linear support vector machine (LSVM), random forest (RF), and XGboost models. We not only examined the accordance between model results and statistical analysis of the input data but also examined the consistency of model accuracy scores and relative importance order of model factors with regard to different input data sets and different model arguments to check the applicability of both the models and the input data. Generally, the RF and XGboost models give more identical, consistent, and robust relative importance order of factors that is also accordant with the statistical analysis, while the LSVM gives much different and nonsense orders for different inputs. Results of the RF and XGboost models show that (1) generally, the models achieve accuracy scores above 0.9, indicating effective identification of leukemia, and (2) the top three factors that contribute most to the identification of leukemia include red blood cell (RBC), hematocrit (HCT), and white blood cell (WBC), while the other factors contribute relatively less. This study shows a feasible case example for early identification of leukemia using routine physical examination data with the assistance of ML models, which can be conveniently, cheaply, and widely applied in community hospitals or primary care clinics to save time before definite diagnosis; however, more studies are still needed to validate the applicability of more ML models to a larger variety of input data sets.

Comparison of Sodium-Glucose Cotransporter-2 Inhibitor and Glucagon-Like Peptide-1 Receptor Agonist Prescribing in Patients With Diabetes Mellitus With and Without Cardiovascular Disease

Sodium-glucose cotransporter-2 inhibitors (SGLT2is) and glucagon-like peptide-1 receptor agonists (GLP1-RAs) reduce cardiovascular events and mortality in patients with type 2 diabetes mellitus (T2DM). We sought to describe trends in prescribing for SGLT2is and GLP1-RAs in diverse care settings, including (1) the outpatient clinics of a midwestern integrated health system and (2) small- and medium-sized community-based primary care practices and health centers in 3 midwestern states. We included adults with T2DM and ≥1 outpatient clinic visit. The outcomes of interest were annual active prescription rates for SGLT2is and GLP1-RAs (separately). In the integrated health system, 22,672 patients met the case definition of T2DM. From 2013 to 2019, the overall prescription rate for SGLT2is increased from 1% to 15% (absolute difference [AD] 14%, 95% confidence interval [CI] 13% to 15%, p <0.01). The GLP1-RA prescription rate was stable at 10% (AD 0%, 95% CI -1% to 1%, p=0.9). In community-based primary care practices, 43,340 patients met the case definition of T2DM. From 2013 to 2017, the SGLT2i prescription rate increased from 3% to 7% (AD4%, 95% CI 3% to 6%, p <0.01), whereas the GLP1-RA prescription rate was stable at 2% to 3% (AD1%, 95% CI -1 to 1%, p=0.40). In a fully adjusted regression model, non-Hispanic Black patients had lower odds of SGLT2i or GLP1-RA prescription (odds ratio 0.56, 95% CI 0.34 to 0.89, p=0.016). In conclusion, the increase in prescription rates was greater for SGLT2is than for GLP1-RAs in patients with T2DM in a large integrated medical center and community primary care practices. Overall, prescription rates for eligible patients were low, and racial disparities were observed.

Integrated care and interprofessional education.

Integrated care and interprofessional education.

Advancing Reproductive Health through Policy-Engaged Research in Abortion Care.

Mifepristone medication abortion was first approved in China and France more than 30 years ago and is now used in more than 60 countries worldwide. It is a highly safe and effective method that has the potential to increase population access to abortion in early pregnancy, closer to home. In both Canada and the United States, the initial regulations for distribution, prescribing, and dispensing of mifepristone were highly restricted. However, in Canada, where mifepristone was made available in 2017, most restrictions on the medication were removed in the first year of its availability. The Canadian regulation of mifepristone as a normal prescription makes access possible in community primary care through a physician or nurse practitioner prescription, which any pharmacist can dispense. In this approach, people decide when and where to take their medication. We explore how policy-maker-engaged research advanced reproductive health policy and facilitated this rapid change in Canada. We discuss the implications of these policy advances for self-management of abortion and demonstrate how in Canada patients "self-manage" components of the abortion process within a supportive health care system.

Early Impact of VA MISSION Act Implementation on Primary Care Appointment Wait Time

BackgroundThrough Community Care Networks (CCNs) implemented with the VA MISSION Act, VA expanded provider contracting and instituted network adequacy standards for Veterans’ community care.ObjectiveTo determine whether early CCN implementation impacted community primary care (PC) appointment wait times overall, and by rural/urban and PC shortage area (HPSA) status.DesignUsing VA administrative data from February 2019 through February 2020 and a difference-in-differences approach, we compared wait times before and after CCN implementation for appointments scheduled by VA facilities that did (CCN appointments) and did not (comparison appointments) implement CCNs. We ran regression models with all appointments, and stratified by rural/urban and PC HPSA status. All models adjusted for Veteran characteristics and VA facility–level clustering.Appointments13,720 CCN and 40,638 comparison appointments.Main MeasuresWait time, measured as number of days from authorization to use community PC to a Veteran’s first corresponding appointment.Key ResultsOverall, unadjusted wait times increased by 35.7 days ([34.4, 37.1] 95% CI) after CCN implementation. In adjusted analysis, comparison wait times increased on average 33.7 days ([26.3, 41.2] 95% CI, p < 0.001) after CCN implementation; there was no significant difference for CCN wait times (across-group mean difference: 5.4 days, [−3.8, 14.6] 95% CI, p = 0.25). In stratified analyses, comparison wait time increases ranged from 29.6 days ([20.8, 38.4] 95% CI, p < 0.001) to 42.1 days ([32.9, 51.3] 95% CI, p > 0.001) after CCN implementation, while additional differences for CCN appointments ranged from 13.4 days ([3.5, 23.4] 95% CI, p = 0.008) to −15.1 days ([−30.1, −0.1] 95% CI, p = 0.05) for urban and PC HPSA appointments, respectively.ConclusionsAfter early CCN implementation, community PC wait times increased sharply at VA facilities that did and did not implement CCNs, regardless of rural/urban or PC HPSA status, suggesting community care demand likely overwhelmed VA resources such that CCNs had limited impact.

Evolution of the follow-up of the diabetic patient during the pandemic in community Autonomous (Aragon), health sector and Primary Care center

Evolution of the follow-up of the diabetic patient during the pandemic in community Autonomous (Aragon), health sector and Primary Care center

Introducing Community Houses in Italy: a scoping review of the international literature

Abstract Background The SARS-CoV-2 pandemic put under pressure all the world's health systems, to the point that it was a severe threat to their stability. At the same time, this scenario confirmed the importance of primary health care to guarantee effective care for patients who suffer from complex and chronic diseases. From these considerations and in the light of the funding provided by the European Union for enhancing the health care system in Italy, our working group has decided to analyse various organisational models of Primary Health Care founded around the world to set up innovative Primary care community Centers in Italy, called Community Houses. Methods A scoping review of the international literature was conducted on Pubmed, searching for primary care models based on integration and co-location of services. Each organisational model was then evaluated using different levels of multidimensional integration inspired by the taxonomy work of P. P. Valentijn, such as clinical, professional, organisational, system, functional and normative integration levels. Results The search produced 2053 results, initially screened by title and abstract and, subsequently, by full-text, finally obtaining 116 articles. When a model is characterised by integrating services with external stakeholders, it also presents more integration levels than the others. In particular, these models are, on average, about 20% more likely to have an organisational, functional and normative integration in the model. Moreover, by stratifying for population complexity, we can find an increase in integration levels for populations suffering from chronic diseases with a higher degree of complexity, such as diabetes or cancer. Conclusions From these preliminary results, we can conclude that it is necessary to prefer primary care models with more integration levels to deliver better healthcare for people with complex or chronic diseases, improving the performance of the Health Care System, especially in Italy. Key messages

Inequality of Low Air Quality-Related Health Impacts among Socioeconomic Groups in the World of Work.

This research aimed to assess the perceptions of air quality and health symptoms caused by low urban air quality among vulnerable socio-economic groups in the world of work in Bangkok, Thailand through a questionnaire survey of 400 workers of both formal and informal sectors in the five districts with different socio-economic characteristics and levels of air pollution. The findings showed symmetry between air quality-monitoring data and health symptoms of different socio-economic groups but asymmetry between air quality-monitoring data and people’s perceptions of air quality in their areas. It also showed inequalities of low air quality-related health impacts on socio-economic groups in the world of work. People working near the streets, highways, and industrial zones tended to have more health symptoms related to low air quality, and informal sector workers faced more health risks than formal sector workers. The study appeals for effective air pollution communication to enhance the public and informal sector worker population’s literacy of air pollution, the sources of air pollution and its critical health impacts, and the available and sufficient primary care organizations and community health care centers to address work-related health needs to reach the informal sector worker population.

Sub-district costs and efficiency of a combination HIV/AIDS prevention-intervention in the Northwest Province of South Africa.

BackgroundWe reviewed a combination prevention program to strengthen HIV prevention programming, community support mechanisms, community-based HIV testing, referral systems, and HIV prevention integration at the primary care level. The intervention included situational analysis to inform programming, community engagement and mobilization, and community-based biomedical and behavioral prevention. In support of PEPFAR’s country-ownership paradigm, we costed the combination HIV prevention program to determine data needed for local ownership. This research used costing and health system perspectives.ResultsCost per person reached with individual or small group prevention interventions ranged from $63.93 to $4,344.88. (cost per health facility strengthened). Personnel costs drove the intervention. This was true regardless of year or activity (i.e. wellness days or events, primary health care strengthening, community engagement, and wellness clubs).ConclusionsLabor-intensive rather than capital-intensive interventions for low-income settings, like this one, are important for treating and preventing HIV/AIDS and other health conditions sustainably. Over time, costs shifted from international cost centers to in-country headquarters offices, as required for sustainable PEPFAR initiatives. Such costing center evolution reflected changes in the intervention’s composition, including (1) the redesign and re-deployment of service delivery sites according to local needs, uptake, and implementation success and (2) the flexible and adaptable restructuring of intervention components in response to community needs.

Community access to primary care is an important geographic disparity among ovarian cancer patients undergoing cytoreductive surgery

ObjectiveGiven the importance of understanding neighborhood context and geographic access to care on individual health outcomes, we sought to investigate the association of community primary care (PC) access on postoperative outcomes and survival in ovarian cancer patients. MethodsThis was a retrospective cohort study of Stage III-IV ovarian cancer patients who underwent surgery at a single academic, tertiary care hospital between 2012 and 2015. PC access was determined using a Health Resources and Services Administration designation. Outcomes included 30-day surgical and medical complications, extended hospital stay, ICU admission, hospital readmission, progression-free and overall survival. Descriptive statistics and chi-squared analyses were used to analyze differences between patients from PC-shortage vs not PC-shortage areas. ResultsAmong 217 ovarian cancer patients, 54.4 % lived in PC-shortage areas. They were more likely to have Medicaid or no insurance and live in rural areas with higher poverty rates, significantly further from the treating cancer center and its affiliated hospital. Nevertheless, 49.2 % of patients from PC-shortage areas lived in urban communities. Residing in a PC-shortage area was not associated with increased surgical or medical complications, ICU admission, or hospital readmission, but was linked to more frequent prolonged hospitalization (26.3 % vs 14.1 %, p = 0.04). PC-shortage did not impact progression-free or overall survival. ConclusionsPatients from PC-shortage areas may require longer inpatient perioperative care in order to achieve the same 30-day postoperative outcomes as patients who live in non-PC shortage areas. Community access to PC is a critical factor to better understanding and reducing disparities among ovarian cancer patients.

Complex multidisciplinary intervention to improve Initial Medication Adherence to cardiovascular disease and diabetes treatments in primary care (the IMA-cRCT study): mixed-methods process evaluation protocol

IntroductionMedication non-initiation, or primary non-adherence, is a persistent public health problem that increases the risk of adverse clinical outcomes. The initial medication adherence (IMA) intervention is a complex multidisciplinary intervention...

Public perceptions of pharmacogenomic services in Ireland - Are people with chronic disease more likely to want service availability than those without? A questionnaire study

BackgroundAs pharmacogenomic services begin to emerge in primary care, the insight of the public is crucial for its integration into clinical practice. ObjectivesTo establish perceptions of pharmacogenomics (awareness, understanding, openness to availability, perceived benefits and concerns, willingness to pay, and service setting) and investigate if they differ between those with and without chronic disease(s). MethodsAn anonymous, online questionnaire generated using Qualtrics® and circulated via social media and posters placed in eight participating community pharmacies was conducted with Irish adults. The questions were designed to consider existing literature on patient perceptions of pharmacogenomics. Descriptive statistics were used to summarize questionnaire responses. Chi-square test was used to compare categorical variables, while independent sample t-test and one-way ANOVA were used to compare the mean values of two (with and without chronic disease) and three groups (multimorbidity (two or more chronic conditions) and polypharmacy (prescribed four or more regular medicines) (MMPP), a single chronic disease, and those without existing medical conditions) respectively Logistic regression was used to evaluate age and gender adjusted associations of chronic disease(s) with responses. A p-value <0.05 was considered statistically significant. ResultsA total of 421 responses were received, 30% (n = 120) of whom reported having a chronic disease. Overall, respondents reported low awareness (44%, n = 166) and poor knowledge (55%, n = 212) of pharmacogenomics. After explaining pharmacogenomics to respondents, patients with chronic disease(s) were 2.17 times more likely (p < 0.001) to want pharmacogenomic services availability than those without existing conditions, adjusted for age and gender (driven by preferences of those with MMPP than those with single chronic disease). Respondents demonstrated a high level of interest and noted both the potential benefits and downsides of pharmacogenomic testing. Willingness-to-pay was not associated with having a chronic disease and respondents were more positive about primary care (community pharmacy or general practice) rather than hospital-based pharmacogenomics implementation. ConclusionThe Irish public in general and those with chronic disease in particular are strongly supportive of pharmacogenomic testing, highlighting an unmet need for its incorporation in medicines optimization. These data underline the need for more research on the implementation of community-based pharmacogenomics services for MMPP patients and ubiquitous pharmacogenomics education programs.

Building Flavor and Confidence in the Kitchen: A Pilot Virtual Cooking Class on Healthy Snacking.

Cooking meals at home is associated with more healthful eating and even other healthy behaviors, such as increased physical activity, but for many there are numerous barriers to making this a reality. Healthy teaching kitchen interventions aim to help patients overcome these barriers. Our pilot program worked to address this issue by demonstrating the feasibility and acceptability of a virtual culinary medicine session designed for outpatient clinic patients. Participants were recruited from a single community primary care clinic for a virtual culinary medicine session. Of the 29 subjects who attended the class, 13 (45%) filled out the pre-course survey, and 8 (26%) filled out the post-course survey. Average participant confidence in preparing snacks at home from fresh ingredients increased from 3.62 to 4.38 out of 5 after attending this session, though the results were not statistically (OR .47; P = .172; 95% CI .16 to 1.3). Post-participation comments were overwhelmingly positive. This study showed that a virtual cooking class is feasible in a community clinic setting and is positively received. In addition, a culinary class teaching healthy cooking techniques paired with nutrition training may improve patient's confidence in the kitchen.

Follow-up of penicillin allergy labels 1 year after successful penicillin delabeling

BackgroundPenicillin allergy delabeling confers many benefits, including reduced patient morbidity and mortality and improved health economics. Reports suggest that both patients and clinicians often remain hesitant to take and prescribe penicillins, respectively, after penicillin delabeling. However, follow-up of an individual's penicillin allergy label and incorporation of this into relevant health care records after delabeling have not been well studied in the Australian population. ObjectiveTo evaluate the status of penicillin allergy labels in the community 1 year after penicillin delabeling at a tertiary hospital in Australia. MethodsA cross-sectional study was performed using follow-up interviews with patients and community primary care providers after 1 year from the date of patients’ penicillin delabeling at a tertiary hospital in New South Wales, Australia.The main outcome measures that were evaluated included patient willingness to accept penicillin for future infections, patient self-reported receipt of penicillin-based antibiotics after delabeling, accuracy of penicillin allergy labels in the records of the primary care provider, and prescription of penicillin-based antibiotics by the general practitioner. ResultsA total of 86 patients were included in this study. The percentage of patients with a correct penicillin allergy status at 1-year follow-up was 94% in the hospital electronic medical record but only 37% in primary care records. At 1-year follow-up, 14% of delabeled patients continued to reject penicillin prescriptions. ConclusionBetter strategies are required to increase patient confidence in receiving penicillins after penicillin delabeling and to ensure that penicillin allergy labels are translated into the medical records at the primary care level.

Cost-effectiveness and cost-utility of hypertension and hyperlipidemia collaborative management between pharmacies and primary care in portugal alongside a trial compared with usual care (USFarmácia®).

Background: There is little experience in the economic evaluation of pharmacy/primary care collaborative health interventions using interprofessional technology-driven communication under real-world conditions. This study aimed to conduct cost-effectiveness and cost-utility analyses of a collaborative care intervention in hypertension and hyperlipidemia management between pharmacies and primary care versus usual (fragmented) care alongside a trial. Methods: An economic evaluation was conducted alongside a 6-month pragmatic quasi-experimental controlled trial. Data sources included primary care clinical software; pharmacy dispensing software; patient telephone surveys; and published literature. The target population was adult patients on hypertension and/or lipid-lowering medication. The perspective was societal. We collected patient-level data on resource use to estimate trial costs. Effect outcomes included blood pressure (BP) and quality-adjusted life years (QALYs). Bootstrapping was used to estimate uncertainty around the incremental cost-effectiveness and cost-utility ratios. Cost-effectiveness planes and acceptability curves were estimated. Results: The intervention was not shown to have reasonable levels of cost-effectiveness or cost-utility when compared to usual care as denoted by the levels of uncertainty expressed in wide confidence intervals. The probability of the intervention being cost-effective is 28% at the threshold of €20,000 per QALY gained and 57% at the threshold of €500 per mmHg systolic BP decrease. Conclusion: Considering the limitations of the trial which affected effectiveness and economic outcomes, our results are not generalizable for community pharmacy and primary care in Portugal. This research offers, however, valuable lessons on methods and strategies that can be used in future economic evaluations of collaborative public health interventions with the potential for reimbursement. Clinical trial registration: https://www.isrctn.com/ISRCTN13410498, identifier ISRCTN13410498