ABSTRACT
Importance: Anticoagulation management services (AMSs; ie, warfarin clinics) have evolved to include patients treated with direct oral anticoagulants (DOACs), but it is unknown whether DOAC therapy management services improve outcomes for patients with atrial fibrillation (AF). Objective: To compare outcomes associated with 3 DOAC care models for preventing adverse anticoagulation-related outcomes among patients with AF. Design, Setting, and Participants: This retrospective cohort study included 44â¯746 adult patients with a diagnosis of AF who initiated oral anticoagulation (DOAC or warfarin) between August 1, 2016, and December 31, 2019, in 3 Kaiser Permanente (KP) regions. Statistical analysis was conducted from August 2021 through May 2023. Exposures: Each KP region used an AMS to manage warfarin but used distinct approaches to DOAC care: (1) usual care (UC) by the prescribing clinician, (2) UC plus an automated population management tool (PMT), or (3) pharmacist-managed AMS care. Propensity scores and inverse probability of treatment weights (IPTWs) were estimated. Direct oral anticoagulant care models were first indirectly compared using warfarin as a common comparator within each region and then directly compared across regions. Main Outcomes and Measures: Patients were followed up until the first occurrence of an outcome (composite of thromboembolic stroke, intracranial hemorrhage, other major bleeding, or death), discontinuation of KP membership, or December 31, 2020. Results: Overall, 44â¯746 patients were included: 6182 in the UC care model (3297 DOAC; 2885 warfarin), 33â¯625 in the UC plus PMT care model (21â¯891 DOAC; 11â¯734 warfarin), and 4939 in the AMS care model (2089 DOAC; 2850 warfarin). Baseline characteristics (mean [SD] age, 73.1 [10.6] years, 56.1% male, 67.2% non-Hispanic White, median CHA2DS2-VASc [congestive heart failure, hypertension, age ≥75 years, diabetes, stroke, vascular disease, age 65-74 years, female sex] score of 3 [IQR, 2-5]) were well balanced after IPTW. Over a median follow-up of 2 years, patients who received the UC plus PMT or AMS care model did not have significantly better outcomes than those who received UC. The incidence rate of the composite outcome was 5.4% per year for DOAC and 9.1% per year for warfarin for those in the UC group, 6.1% per year for DOAC and 10.5% per year for those in the UC plus PMT group, and 5.1% per year for DOAC and 8.0% per year for those in the AMS group. The IPTW-adjusted hazard ratios (HRs) for the composite outcome comparing DOAC vs warfarin were 0.91 (95% CI, 0.79-1.05) in the UC group, 0.85 (95% CI, 0.79-0.90) in the UC plus PMT group, and 0.84 (95% CI, 0.72-0.99) in the AMS group (P = .62 for heterogeneity across care models). When directly comparing patients receiving DOAC, the IPTW-adjusted HR was 1.06 (95% CI, 0.85-1.34) for the UC plus PMT group vs the UC group and 0.85 (95% CI, 0.71-1.02) for the AMS group vs the UC group. Conclusions and Relevance: This cohort study did not find appreciably better outcomes for patients receiving DOAC who were managed by either a UC plus PMT or AMS care model compared with UC.
Subject(s)
Atrial Fibrillation , Stroke , Humans , Male , Female , Adult , Aged , Atrial Fibrillation/complications , Atrial Fibrillation/drug therapy , Atrial Fibrillation/diagnosis , Warfarin/adverse effects , Cohort Studies , Retrospective Studies , Anticoagulants/adverse effects , Stroke/etiology , Stroke/prevention & control , Stroke/diagnosisABSTRACT
BACKGROUND: The COVID-19 pandemic forced many US health care organizations to shift from mostly in-person care to a hybrid of virtual visits (VV) and in-person visits (IPV). While there was an expected and immediate shift to virtual care (VC) early in the pandemic, little is known about trends in VC use after restrictions eased. METHODS: This is a retrospective study using data from 3 health care systems. All completed visits from adult primary care (APC) and behavioral health (BH) were extracted from the electronic health record of adults aged 19 years and older from January 1, 2019 to June 30, 2021. Standardized weekly visit rates were calculated by department and site and analyzed using time series analysis. RESULTS: There was an immediate decrease in APC visits following the onset of the pandemic. IPV were quickly replaced by VV such that VV accounted for most APC visits early in the pandemic. By 2021, VV rates declined, and VC visits accounted for <50% of all APC visits. By Spring 2021, all 3 health care systems saw a resumption of APC visits as rates neared or returned to prepandemic levels. In contrast, BH visit rates remained constant or slightly increased. By April 2020, almost all BH visits were being delivered virtually at each of the 3 sites and continue to do so without changes to utilization. CONCLUSIONS: VC use peaked during the early pandemic period. While rates of VC are higher than prepandemic levels, IPV are the predominant visit type in APC. In contrast, VC use has sustained in BH, even after restrictions eased.
Subject(s)
COVID-19 , Telemedicine , Adult , Humans , COVID-19/epidemiology , Pandemics , Retrospective Studies , Ambulatory Care Facilities , Electronic Health RecordsABSTRACT
BACKGROUND/OBJECTIVE: In recent years, 2 circumstances have changed provider-patient interactions in ambulatory care: (1) the replacement of virtual for in-person visits and (2) the COVID-19 pandemic. We studied the potential impact of each event on provider practice and patient adherence by comparing the frequency of the association of provider orders, and patient fulfillment of those orders, by visit mode and pandemic period, for incident neck or back pain (NBP) visits in ambulatory care. METHODS: Data were extracted from the electronic health records of 3 Kaiser Permanente regions (Colorado, Georgia, and Mid-Atlantic States) from January 2017 to June 2021. Incident NBP visits were defined from ICD-10 coded as primary or first listed diagnoses on adult, family medicine, or urgent care visits separated by at least 180 days. Visit modes were classified as virtual or in-person. Periods were classified as prepandemic (before April 2020 or the beginning of the national emergency) or recovery (after June 2020). Percentages of provider orders for, and patient fulfillment of orders, were measured for 5 service classes and compared on: virtual versus in-person visits, and prepandemic versus recovery periods. Comparisons were balanced on patient case-mix using inverse probability of treatment weighting. RESULTS: Ancillary services in all 5 categories at each of the 3 Kaiser Permanente regions were substantially ordered less frequently on virtual compared with in-person visits in both the prepandemic and recovery periods (both P ≤ 0.001). Conditional on an order, patient fulfillment within 30 days was high (typically ≥70%) and not likely meaningfully different between visit modes or pandemic periods. CONCLUSIONS: Ancillary services for incident NBP visits were ordered less frequently during virtual than in-person visits in both prepandemic and recovery periods. Patient fulfillment of orders was high, and not significantly different by mode or period.
Subject(s)
COVID-19 , Telemedicine , Adult , Humans , COVID-19/epidemiology , Pandemics , Back Pain/therapy , Ambulatory Care , Patient ComplianceABSTRACT
BACKGROUND/OBJECTIVE: In recent years, 2 circumstances changed provider-patient interactions in primary care: the substitution of virtual (eg, video) for in-person visits and the COVID-19 pandemic. We studied whether access to care might affect patient fulfillment of ancillary services orders for ambulatory diagnosis and management of incident neck or back pain (NBP) and incident urinary tract infection (UTI) for virtual versus in-person visits. METHODS: Data were extracted from the electronic health records of 3 Kaiser Permanente Regions to identify incident NBP and UTI visits from January 2016 through June 2021. Visit modes were classified as virtual (Internet-mediated synchronous chats, telephone visits, or video visits) or in-person. Periods were classified as prepandemic [before the beginning of the national emergency (April 2020)] or recovery (after June 2020). Percentages of patient fulfillment of ancillary services orders were measured for 5 service classes each for NBP and UTI. Differences in percentages of fulfillments were compared between modes within periods and between periods within the mode to assess the possible impact of 3 moderators: distance from residence to primary care clinic, high deductible health plan (HDHP) enrollment, and prior use of a mail-order pharmacy program. RESULTS: For diagnostic radiology, laboratory, and pharmacy services, percentages of fulfilled orders were generally >70-80%. Given an incident NBP or UTI visit, longer distance to the clinic and higher cost-sharing due to HDHP enrollment did not significantly suppress patients' fulfillment of ancillary services orders. Prior use of mail-order prescriptions significantly promoted medication order fulfillments on virtual NBP visits compared with in-person NBP visits in the prepandemic period (5.9% vs. 2.0%, P=0.01) and in the recovery period (5.2% vs. 1.6%, P=0.02). CONCLUSIONS: Distance to the clinic or HDHP enrollment had minimal impact on the fulfillment of diagnostic or prescribed medication services associated with incident NBP or UTI visits delivered virtually or in-person; however, prior use of mail-order pharmacy option promoted fulfillment of prescribed medication orders associated with NBP visits.
Subject(s)
COVID-19 , Telemedicine , Humans , COVID-19/epidemiology , Pandemics , Facilities and Services Utilization , Ambulatory Care , Cost SharingABSTRACT
BACKGROUND/OBJECTIVE: In multisite studies, a common data model (CDM) standardizes dataset organization, variable definitions, and variable code structures and can support distributed data processing. We describe the development of a CDM for a study of virtual visit implementation in 3 Kaiser Permanente (KP) regions. METHODS: We conducted several scoping reviews to inform our study's CDM design: (1) virtual visit mode, implementation timing, and scope (targeted clinical conditions and departments); and (2) extant sources of electronic health record data to specify study measures. Our study covered the period from 2017 through June 2021. Integrity of the CDM was assessed by a chart review of random samples of virtual and in-person visits, overall and by specific conditions of interest (neck or back pain, urinary tract infection, major depression). RESULTS: The scoping reviews identified a need to address differences in virtual visit programs across the 3 KP regionsto harmonize measurement specifications for our research analyses. The final CDM contained patient-level, provider-level, and system-level measures on 7,476,604 person-years for KP members aged 19 years and above. Utilization included 2,966,112 virtual visits (synchronous chats, telephone visits, video visits) and 10,004,195 in-person visits. Chart review indicated the CDM correctly identified visit mode on>96% (n=444) of visits, and presenting diagnosis on >91% (n=482) of visits. CONCLUSIONS: Upfront design and implementation of CDMs may be resource intensive. Once implemented, CDMs, like the one we developed for our study, provide downstream programming and analytic efficiencies by harmonizing, in a consistent framework, otherwise idiosyncratic temporal and study site differences in source data.
Subject(s)
Telemedicine , Humans , Research DesignABSTRACT
Investigators conducting translational research in real-world settings may experience changes that create challenges to the successful completion of the trial as well as post-trial adoption and implementation. Adaptive designs support translational research by systematically adapting content and methods to meet the needs of target populations, settings and contexts. This manuscript describes an adaptive implementation research model that provides strategies for changing content, delivery processes, and research methods to correct course when anticipated and unanticipated circumstances occur during a pragmatic trial. The Breathewell Program included two large pragmatic trials of the effectiveness of a digital communication technology intervention to improve symptom management and medication adherence in asthma care. The first trial targeted parents of children with asthma; the second targeted adults with asthma. Adaptations were made iteratively to adjust to dynamic conditions within the healthcare setting, informed by prospectively collected stakeholder input, and were categorized retrospectively by the authors as proactive or reactive. Study outcomes demonstrated improved treatment adherence and clinical efficiency. Kaiser Permanente Colorado, the setting for both studies, adopted the speech recognition intervention into routine care, however, both interventions required numerous adaptations, including changes to target population, intervention content, and internal workflows. Proactive and reactive adaptations assured that both trials were successfully completed. Adaptive research designs will continue to provide an important pathway to move healthcare delivery research into practice while conducting ongoing effectiveness evaluation.
Health care research often moves slowly and consequently important results may take a long time to reach the patients they are intended to help. Implementation studies conducted in routine clinical practice are intended to accelerate the process of delivering new discoveries into settings where they can be more quickly put to use. However, conducting research in real-world settings can be challenging if changes occur in those settings during the course of the study. Therefore, an adaptive implementation approach that allows researchers to make changes during the course of a study can facilitate study completion and improve likelihood of intervention adoption into routine care. This report demonstrates the use of an adaptive implementation model in two large studies of asthma in children and adults. In both studies, communication technology including computerized phone calls, texts, and email helped improve treatment consistency and efficiency.
Subject(s)
Asthma , Research Design , Adult , Child , Humans , Asthma/therapy , Delivery of Health Care , Health Services Needs and Demand , Retrospective StudiesABSTRACT
Approximately 70% of American Indian/Alaska Native (AI/AN) individuals reside in urban areas. Urban Indian Health Organizations (UIHOs) provide culturally engaged primary care for AI/AN patients and members of other racial and ethnic groups who have experienced disparities in diabetes and hypertension care, and are commonly affected by social and economic barriers to care. We assessed whether disparities were present between the racial and ethnic groups served by the largest UIHO in the USA. We developed retrospective cohorts of patients with hypertension or diabetes receiving primary care from this UIHO, measuring differences between AI/AN, Spanish-preferring Latinx, English-preferring Latinx, Black, and White patients in mean systolic blood pressure (SBP) and mean hemoglobin A1c (A1c) as primary outcomes. To assess processes of care, we also compared visit intensity, missed visits, and medication treatment intensity in regression models adjusted for sociodemographic and clinical characteristics. For hypertension (n = 2148), adjusted mean SBP ranged from 135.8 mm Hg among Whites to 141.3 mm Hg among Blacks (p = 0.06). For diabetes (n = 1211), adjusted A1c ranged from 7.7% among English-preferring Latinx to 8.7% among Blacks (p = 0.38). Care processes for both hypertension and diabetes varied across groups. No group consistently received lower-quality care. This UIHO provided care of comparable quality for hypertension and diabetes among urban-dwelling AI/ANs and members of other racial, ethnic, and language preference groups. Systematic assessments of care quality in UIHOs may help demonstrate the importance of their role in providing care and improve the quality of care.
Subject(s)
Diabetes Mellitus , Hypertension , Humans , United States , Retrospective Studies , Glycated Hemoglobin , Racial Groups , Diabetes Mellitus/therapy , Hypertension/therapyABSTRACT
BACKGROUND: Few studies have looked at the effect of an asthma exacerbation on asthma medication adherence. OBJECTIVE: To measure asthma medication adherence in the 12 months after an asthma exacerbation and the influence of care type (specialist vs primary care provider) as well as social economic status on adherence. METHODS: We measured portion of days covered (PDC) during the 12 months before and after an exacerbation in a cohort of patients with asthma who were aged 18 years and older. Subanalyses looked at PDC in those who had more than one exacerbation after the sentinel exacerbation, by type of care received (primary care, allergist or pulmonologist, or no care) during both periods and by socioeconomic status (SES), defined as the lower quartile of annual income for the group. RESULTS: In a cohort of 1,697 patients, PDC improved significantly (from 0.44 to 0.53; P < .001) after an asthma exacerbation. Improvement in PDC was even greater (from 0.45 to 0.57; P < .001) if they had more than one exacerbation after the sentinel exacerbation. Being seen by a specialist after the exacerbation but not before it, resulted in the greatest improvement in PDC (0.17 mean change). Patients not seen by a specialist either before the exacerbation or after had a mean change of just 0.07. Those with a lower SES had an overall lower PDC before the exacerbation (0.37 vs 0.43) but saw a similar improvement in the PDC compared with those in a higher SES (0.09 vs 0.10). CONCLUSIONS: An asthma exacerbation is associated with a significant and sustained effect on medication adherence.
Subject(s)
Asthma , Humans , Asthma/drug therapy , Socioeconomic Factors , Social Class , Medication Adherence , Income , Retrospective StudiesABSTRACT
BACKGROUND: The COVID-19 pandemic increased reliance on virtual care for patients with persistent asthma. OBJECTIVE: This retrospective cohort study assessed changes from in-person to virtual care during the pandemic. In patients with persistent asthma, compared with the same period before the pandemic. METHODS: Kaiser Permanente Colorado members aged 18 to 99 years with persistent asthma were evaluated during two periods (March to October 2019 and March to October 2020). Comparison of asthma exacerbations (hospitalizations, emergency department visits, and courses of oral prednisone) and asthma medication metrics were evaluated between the two periods and by type of care received during the pandemic (no care, virtual care only, in-person care only, or a mix of virtual and in-person care). Population characteristics by type of care received during the pandemic were also evaluated. RESULTS: Among 7,805 adults with persistent asthma, those who used more virtual care or sought no care during the pandemic were younger and had fewer comorbidities, mental health diagnoses, or financial barriers. Exacerbations decreased (0.264 to 0.214; P <.001) as did courses of prednisone (0.213 to 0.169). Asthma medication adherence (0.53 to 0.54; P <.001) and the asthma medication ratio, a quality-of-care metric (0.755 to 0.762; P = .019), increased slightly. Patients receiving a mix of in-person and virtual care had the highest rate of exacerbations (0.83) and a lower asthma medication ratio (0.74) despite having the highest adherence (.57). CONCLUSIONS: Despite an increase in virtual care, asthma exacerbations decreased except among individuals who received both in-person and virtual care, likely because they had more severe disease.
Subject(s)
Anti-Asthmatic Agents , Asthma , COVID-19 , Telemedicine , Adult , Anti-Asthmatic Agents/therapeutic use , Asthma/diagnosis , Asthma/drug therapy , Asthma/epidemiology , COVID-19/epidemiology , Humans , Pandemics , Prednisone/therapeutic use , Retrospective StudiesABSTRACT
Use of digital communication technologies (DCT) shows promise for enhancing outcomes and efficiencies in asthma care management. However, little is known about the impact of DCT interventions on healthcare personnel requirements and costs, thus making it difficult for providers and health systems to understand the value of these interventions. This study evaluated the differences in healthcare personnel requirements and costs between usual asthma care (UC) and a DCT intervention (Breathewell) aimed at maintaining guidelines-based asthma care while reducing health care staffing requirements. We used data from a pragmatic, randomized controlled trial conducted in a large integrated health system involving 14,978 patients diagnosed with asthma. To evaluate differences in staffing requirements and cost between Breathewell and UC needed to deliver guideline-based care we used electronic health record (EHR) events, provider time tracking surveys, and invoicing. Differences in cost were reported at the patient and health system level. The Breathewell intervention significantly reduced personnel requirements with a larger percentage of participants requiring no personnel time (45% vs. 5%, p < .001) and smaller percentage of participants requiring follow-up outreach (44% vs. 68%, p < .001). Extrapolated to the total health system, cost for the Breathewell intervention was $16,278 less than usual care. The intervention became cost savings at a sample size of at least 957 patients diagnosed with asthma. At the population level, using DCT to compliment current asthma care practice presents an opportunity to reduce healthcare personnel requirements while maintaining population-based asthma control measures.
Subject(s)
Asthma/therapy , Cell Phone , Communication , Electronic Mail , Health Personnel/economics , Personnel Management/economics , Personnel Management/methods , Humans , Surveys and Questionnaires , Time FactorsABSTRACT
BACKGROUND: Individuals often report concurrent social risk factors such as food insecurity, unstable housing, and transportation barriers. Comparing relative changes between pairs of social risk factors may identify those that are more resistant to change. OBJECTIVE: The objective of this study was to develop a method to describe relative changes in pairs of social risk factors. RESEARCH DESIGN: This was a prospective cohort study. SUBJECTS: Participants in a randomized controlled trial of hypertension care in an Urban Indian Health Organization. MEASURES: We measured 7 social risk factors (housing, transportation, food, clothing, health care, utilities, and debts) at enrollment, 6, and 12 months among 295 participants in the trial. We hypothesized that pairwise comparisons could identify social risk factors that were less likely to change over time. We used conditional odds ratios (ORs) with 95% confidence intervals (CIs) to rank each pair. RESULTS: Food, clothing, health care, utilities, and debts had more changes between 0 and 6 months relative to housing (OR=2.3, 3.4, 4.7, 3.5, and 3.4, respectively; all 95% CI excluded 1.0). These same social risk factors also had more changes between baseline and 6 months relative to transportation (OR=2.8, 3.4, 4.9, 4.7, and 4.1, respectively; all 95% CI excluded 1.0). Changes in housing and transportation risk factors were comparable (OR=0.7, 95% CI: 0.4-1.4). Relative changes between 6 and 12 months were similar. CONCLUSIONS: Housing and transportation exhibited fewer relative changes than other social risk factors and might be more resistant to change. Awareness of the relationships between social risk factors can help define priorities for intervention.
Subject(s)
Hypertension/psychology , Indigenous Peoples/statistics & numerical data , Sociological Factors , Adolescent , Adult , Aged , Cohort Studies , Female , Humans , Hypertension/classification , Hypertension/epidemiology , Male , Middle Aged , New Mexico/epidemiology , Odds Ratio , Prospective Studies , Risk Factors , Urban Population/statistics & numerical dataABSTRACT
Interactive voice response and text message (IVR-T) technology may improve hypertension control in under-resourced settings. We conducted a randomized clinical trial to determine whether an IVR-T intervention would improve blood pressure (BP), medication adherence and visit keeping among adults with hypertension from multiple racial and ethnic groups in primary care at an Urban Indian Health Organization in Albuquerque, New Mexico. Two hundred and ninety-five participants were randomly assigned to IVR-T (N = 148) or to usual care (N = 147). The IVR-T arm received reminders for clinic visits, messages to reschedule missed clinic visits, monthly medication refill reminders, weekly motivational messages, and a blood pressure cuff. The usual care arm received no messages. The primary outcome was change in systolic BP (SBP) between baseline and 12 months. Secondary outcomes included change in SBP between baseline and 6 months, change in diastolic BP (DBP) at 6 and 12 months, self-reported adherence at 6 months, and the proportion of missed primary care clinic appointments. The intervention did not affect SBP or DBP at 6 or 12 months. The 12-month change in SBP/DBP was 1.66/1.10 mm Hg in usual care and 0.23/1.34 mm Hg in the intervention group (P values = .57 and .88, respectively). Self-reported medication adherence improved comparably in both groups, and there was no difference in percentage of kept visits. Several features of study design, clinic operations, and data transfer were barriers to demonstrating effectiveness.
Subject(s)
Hypertension , Text Messaging , Adult , Blood Pressure , Humans , Hypertension/diagnosis , Hypertension/drug therapy , Medication Adherence , Primary Health CareABSTRACT
BACKGROUND: Challenges to health care efficiency are increasingly addressed with the help of digital communication technology tools (DCTs). OBJECTIVE: The objective of this study was to test whether DCT, compared with Usual Care, can reduce health care clinician burden without increasing asthma-related exacerbations among patients with asthma in a large integrated health care system. RESEARCH DESIGN: The (Breathewell) program was a pragmatic, randomized trial at (Kaiser Permanente Colorado), where asthma nurses screen patients for poor symptom control when beta2-agonist refill requests came within 60 days of previous fill or in the absence of a controller medication fill within 4 months (beta2-agonist overfill). A total of 14,978 adults with asthma were randomized to Usual Care or 1 of 2 DCT intervention groups (Text/Phone call or Email). SUBJECTS: Participants included adults 18 and older with an asthma diagnosis at the time of randomization and no history of chronic obstructive pulmonary disease. MEASURES: Primary outcome measures included asthma-related health care resource utilization (eg, asthma nurse contacts), medication use, and exacerbations. RESULTS: A total of 1933 patients had 4337 events which met beta2-agonist overfill criteria. Of the 2874 events in the intervention arm, 1188 (41%) were resolved by DCT contact and did not require additional clinician contact. Asthma medication use and exacerbations over 12 months did not differ among the 3 groups. CONCLUSIONS: DCT tools can successfully contact adult asthma patients to screen for symptoms and facilitate intervention. The absence of differences in medication fills and health care utilization indicates that the strategic replacement of nursing interventions by digital outreach did not reduce treatment adherence or compromise health care outcomes.
Subject(s)
Adrenergic beta-Agonists/therapeutic use , Asthma/drug therapy , Electronic Mail , Nurse-Patient Relations , Text Messaging , Workload , Colorado , Female , Humans , Male , Middle AgedABSTRACT
CONTEXT: Refill reminders can help patients improve adherence to inhaled corticosteroid (ICS) therapy. However, little is known about patient preferences for reminder type or whether patients who express a preference differ from patients who do not. OBJECTIVES: To describe patient preferences for ICS prescription refill reminder type and to compare baseline ICS therapy adherence, measured as proportion of days covered (PDC) 1 year before initiating preference-based reminders, between patients who did and did not express a preference. DESIGN: This substudy within a randomized multi-intervention study was conducted at Kaiser Permanente Colorado. Adults with asthma randomized to intervention were offered the opportunity to choose text, telephone, or email reminders. Patients who did and did not provide a preference were compared by baseline characteristics using log-binomial models. MAIN OUTCOME MEASURE(S): The primary outcomes were reminder preference and type. RESULTS: A total of 1497 of 4545 patients (32.9%) expressed a preference; 789 (52.7%) chose text. The adjusted relative risk (aRR) of not providing a preference increased with decreasing PDC (PDC of 0.50 to < 0.80: aRR, 1.14; 95% confidence interval [CI], 1.04-1.25; PDC < 0.5: aRR, 1.76; 95% CI, 1.59-1.95) compared with patients with a PDC of 0.80 or greater. CONCLUSION: Among patients who expressed a preference, text reminders were preferred. Patients who expressed a preference had higher baseline adherence. Further research is needed to determine whether expressing a preference for a refill reminder type is itself associated with adherence. Given that offering the opportunity to choose a reminder type only engaged a subset of patients, further work is needed to understand how best to leverage technology-enabled communication outreach to help patients optimize adherence.
Subject(s)
Asthma , Text Messaging , Adrenal Cortex Hormones/therapeutic use , Adult , Asthma/drug therapy , Humans , Medication Adherence , TelephoneABSTRACT
BACKGROUND: Efficient and effective strategies for treating chronic health conditions such as hypertension are particularly needed for under-resourced clinics such as Urban Indian Health Organizations (UIHOs). OBJECTIVE: The objective of the Controlling Blood Pressure Trial is to assess the impact of an interactive voice response and text message (IVR-T) intervention compared with usual care among individuals with hypertension receiving care at a UIHO in Albuquerque, New Mexico. This manuscript presents the baseline characteristics of individuals enrolled in the trial and compares their characteristics with those in the hypertension registry who did not enroll in the trial. METHODS: A hypertension registry developed from the clinic's electronic health record was used for recruitment. Potentially eligible participants were contacted by letter and then by phone. Those who expressed interest completed an in-person baseline visit that included a baseline survey and blood pressure measurement using standardized procedures. Individuals randomized to the intervention group could opt to receive either automated text messages or automated phone calls in either English or Spanish. The messages include reminders of upcoming appointments at First Nations Community HealthSource, requests to reschedule recently missed appointments, monthly reminders to refill medications, and weekly motivational messages to encourage self-care, appointment keeping, and medication taking for hypertension. Individuals in the IVR-T arm could opt to nominate a care partner to also receive notices of upcoming and missed appointments. Individuals in the IVR-T arm were also offered a home blood pressure monitor. Follow-up visits will be conducted at 6 months and 12 months. RESULTS: Over a 9.5-month period from April 2017 to January 2018, 295 participants were enrolled from a recruitment list of 1497 individuals. The enrolled cohort had a mean age of 53 years, was 25.1% (74/295) American Indian or Alaska Native and 51.9% (153/295) Hispanic, and 39.0% (115/295) had a baseline blood pressure greater than or equal to 140/90 mmHg. Overall, the differences between those enrolled in the trial and patients with hypertension who were ineligible, those who could not be reached, or those who chose not to enroll were minimal. Enrolled individuals had a slightly lower blood pressure (129/77 mmHg vs 132/79 mmHg; P=.04 for systolic blood pressure and P=.01 for diastolic blood pressure), were more likely to self-pay for their care (26% vs 10%; P<.001), and had a more recent primary care visit (164 days vs 231 days; P<.001). The enrolled cohort reported a high prevalence of poor health, low socioeconomic status, and high levels of basic material needs. CONCLUSIONS: The Controlling Blood Pressure Trial has successfully enrolled a representative sample of individuals receiving health care at a UIHO. Trial follow-up will conclude in February 2019. TRIAL REGISTRATION: ClinicalTrials.gov NCT03135405; http://clinicaltrials.gov/ct2/show/NCT03135405 (Archived by WebCite http://www.webcitation.org/76H2B4SO6). INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/11794.
ABSTRACT
BACKGROUND: Use of health technology has shown potential to improve asthma adherence and outcomes. Few studies have looked at the implementation of such research within larger asthma populations. OBJECTIVE: This report examines the process of translating results from a pragmatic trial using speech recognition (SR) in children with persistent asthma into the standard operating procedure within a large health maintenance organization. Medication adherence and outcomes in adults with asthma were examined. METHODS: The SR protocol was implemented for the total Kaiser Permanente Colorado (KPCO) patient population of 480,142, of whom 36,356 had asthma. Patients had persistent asthma, filled 1 or more inhaled corticosteroid prescriptions in the prior 6 months, and remained continuously enrolled with KPCO for 2 years. Documented exacerbations included the presence of a hospitalization, emergency department visit, or course of oral corticosteroid where asthma was the principal diagnosis. Adherence and exacerbation events were compared 1 year before and 1 year after intervention for 4,510 adults aged 19 to 64. RESULTS: Patient adherence demonstrated a small but significant improvement from 39.5% to 41.7% (P < .0001). Although not significant, data trends suggested greater improvement for patients with lower socioeconomic status. When an outlier month was removed from both the pre- and postintervention time periods, courses of oral corticosteroids decreased. Emergency department visits and hospitalizations were infrequent in both time periods and did not decrease over time. CONCLUSIONS: A low-cost SR intervention reminding patients to fill and take their daily controller asthma medication can improve treatment adherence and decrease the need for oral corticosteroids due to asthma exacerbations, but not decrease emergency department visits or hospitalizations.
Subject(s)
Anti-Asthmatic Agents/therapeutic use , Asthma/drug therapy , Medication Adherence , Speech Recognition Software , Adrenal Cortex Hormones/therapeutic use , Adult , Biomedical Research , Delivery of Health Care , Female , Humans , Male , Middle Aged , Technology , Young AdultSubject(s)
Adrenergic beta-Agonists/administration & dosage , Asthma/drug therapy , Electronic Health Records , Health Communication/methods , Prescription Drug Overuse/prevention & control , Telecommunications , Adrenergic beta-Agonists/adverse effects , Adult , Asthma/epidemiology , Electronic Health Records/trends , Female , Health Communication/trends , Humans , Male , Middle Aged , Prescription Drug Overuse/trends , Telecommunications/trends , Treatment OutcomeABSTRACT
PURPOSE: Algorithms using information from electronic health records to identify adults with type 1 diabetes have not been well studied. Such algorithms would have applications in pharmacoepidemiology, drug safety research, clinical trials, surveillance, and quality improvement. Our main objectives were to determine the positive predictive value for identifying type 1 diabetes in adults using a published algorithm (developed by Klompas et al) and to compare it to a simple requirement that the majority of diabetes diagnosis codes be type 1. METHODS: We applied the Klompas algorithm and the diagnosis code criterion to a cohort of 66 690 adult Kaiser Permanente Colorado members with diabetes. We reviewed 220 charts of those identified as having type 1 diabetes and calculated positive predictive values. RESULTS: The Klompas algorithm identified 3286 (4.9% of 66 690) adults with diabetes as having type 1 diabetes. Based on chart reviews, the overall positive predictive value was 94.5%. The requirement that the majority of diabetes diagnosis codes be type 1 identified 3000 (4.5%) as having type 1 diabetes and had a positive predictive value of 96.4%. However, the algorithm criterion involving dispensing of urine acetone test strips performed poorly, with a positive predictive value of 20.0%. CONCLUSIONS: Data from electronic health records can be used to accurately identify adults with type 1 diabetes. When identifying adults with type 1 diabetes, we recommend either a modified version of the Klompas algorithm without the urine acetone test strips criterion or the requirement that the majority of diabetes diagnosis codes be type 1 codes.
Subject(s)
Algorithms , Data Analysis , Diabetes Mellitus, Type 1/diagnosis , Electronic Health Records/standards , Adult , Aged , Cohort Studies , Diabetes Mellitus, Type 1/epidemiology , Female , Humans , Male , Middle Aged , Reproducibility of Results , Young AdultABSTRACT
BACKGROUND: The Centers for Medicare and Medicaid Services (CMS) Medicare Star program provides incentives to health plans when their patients with diabetes meet adherence targets to angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers (ACEIs/ARBs) and statins. While a link between adherence and cardiovascular risk factor control is established, most studies included young patients with few comorbidities. Whether the Star adherence target is associated with reduced blood pressure or low-density lipoprotein cholesterol (LDL-C) in complex older patients is not well understood. OBJECTIVES: Determine correlates of adherence and examine the effect of meeting Star adherence targets on blood pressure and LDL-C in the Medicare-aged diabetes population. DESIGN AND SUBJECTS: Retrospective cohort study of 129,040 patients with diabetes aged 65 or older. MEASURES: Adherence estimated using proportion of days covered target ≥ 0.8; blood pressure < 140/90 mg Hg; LDL-C < 100 mg/dl. Modified Poisson regression used to assess relationships. RESULTS: Adherence differed little across elderly age groups. Compared to no comorbidity, high comorbidity (≥ 4) was associated with lower ACEI/ARB (risk ratio [RR] 0.88 [95% confidence interval (CI) 0.87-0.89]) or statin (RR 0.91 [0.90-0.92]) adherence. ACEI/ARB adherence was not associated with blood pressure < 140/90 mm Hg in patients ≥ 85 years (RR 1.01 [0.96-1.07]) or with multiple comorbidities (e.g., 3: RR 1.04 [0.99-1.08]). Statin adherence and LDL-C < 100 mg/dl were associated in all elderly age groups (e.g., ≥ 85: RR 1.13 [1.09-1.16]) and comorbidity levels (e.g., ≥ 4: RR 1.13 [1.12-1.15]). CONCLUSIONS: Adherence to ACEI/ARB is not linked with reduced blood pressure in patients with diabetes who are at least 85 years or with multiple comorbidities.