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| Name | Class |
|---|---|
| University of Wisconsin, Madison | OTHER |
| University of Minnesota | OTHER |
| University of Arkansas | OTHER |
| L.A. Net Community Health Resource Network |
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The purpose of this study is to evaluate the initial "spread and scale" of PatientTocâ„¢, a patient-reported outcomes (PROs) collection software, to community pharmacies for the collection and use of PROs data pertaining to medication adherence. The investigators are doing this by engaging PatientTocâ„¢ and pharmacy partners in two plan-do-study-act (PDSA) cycles to implement and refine PatientTocâ„¢ and an implementation toolkit (i.e., supports/resource tools) within a small number of community pharmacies. Investigators will then scale implementation to more community pharmacies in a rigorous theory-driven evaluation of PatientTocâ„¢ implementation using interviews, self-reported data from the pharmacy, observations, and administrative data. Collectively, the findings will inform long-term collection and use of PROs data pertaining to medication use.
Medication non-adherence is a problem of critical importance, affecting approximately 50% of all persons taking at least one regularly scheduled prescription medication and costing the United States more than $100 billion annually. Medication non-adherence is associated with clinical outcomes including hospitalizations and mortality. It is a complex, multi-faceted problem with many causes such as forgetfulness, access/affordability concerns, and avoiding medication due to bothersome side effects. Johnson's Medication Adherence Model (MAM) summarizes these causes by theorizing that patients must both "Remember" and "Intend" to take medication. The importance of reducing medication non-adherence is reflected in the Healthy People 2020 goals and objectives and recognized in the Centers for Medicare and Medicaid Services (CMS) star ratings program for Medicare Part D prescription drug plans (PDPs). Plans are rated annually as achieving 1 (lowest quality) to 5 (highest quality) stars. Plans receiving 5 stars are rewarded through quality bonus payments and the ability for patients to switch to the plan outside of the annual open enrollment period. Several measures used in determining star ratings are based on beneficiary medication adherence.
Community pharmacists are uniquely positioned to intervene on medication non-adherence. Community pharmacies are widely accessible and visited frequently by patients with chronic conditions, including the elderly and patients without a regular source of primary care. Community pharmacists can provide support for challenges commonly faced by patients such as limited health literacy, being un/underinsured, and limited English proficiency. Further, community pharmacies nationwide have increased efforts to improve measures influencing PDP star measures to ensure the pharmacy is positioned for financial reward through inclusion in the PDPs preferred pharmacy network and possible bonus payments. Traditional data sources for identifying and resolving medication non-adherence in community pharmacies include prescription fill histories. However, medication possession does not necessarily mean patients are taking medications as prescribed. Patient-reported outcomes (PROs), measuring adherence challenges pertaining to both remembering and intention to take medication, offer a rich data source for pharmacists and prescribers to use to resolve medication non-adherence.
Although the value of collecting and utilizing PROs for clinical and research purposes has been more widely recognized in recent years, to the investigators' knowledge, there are no examples of widespread electronic collection and use of PROs data 1) in community pharmacy settings, or 2) pertaining specifically to medication adherence in ambulatory settings. Moreover, numerous implementation challenges have been reported and the systematic collection of timely and actionable PROs data can be challenging, particularly for patient populations with limited literacy and/or health literacy. For example, paper-based data collection can be burdensome for data management/analysis and data quality concerns may be evident. Electronic data collection offers advantages but technology must ensure privacy and security standards are in place to support the reliability and validity of the data. In addition, data must be accessible to providers in a timely fashion for clinical decision making. Finally, while technology exists to facilitate the transfer of PROs data into electronic health records (EHRs) and providers want these data to populate with laboratory results, few electronic systems do so.
In December 2016, the Agency for Healthcare Research and Quality (AHRQ) released Funding Opportunity Announcement PA-17-077 which provides funding for research projects to "scale and spread" successful health information technology models that use PROs in ambulatory settings. Consequently, the investigators received funding in April 2019 to conduct research to inform long-term collection and use of PROs data pertaining to medication adherence in community pharmacies by spreading and scaling a successful model (PatientTocâ„¢, described below) for health information technology-enabled PROs collection.
Description of PatientToc: Current Use in Physician Offices PatientTocâ„¢ is a PROs collection software developed by investigators from the L.A. Net Community Health Resources Network (LA Net), a primary care practice-based research network (PBRN) in California. PatientTocâ„¢ was developed to facilitate collection of PROs data from low-literacy and non-English speaking patients in Los Angeles. L.A. Net provided a design for the product based on experience collecting PROs from more than 10,000 patients in L.A. Net practices speaking 42 different languages. The system was developed over a period of 4 years with continuous input from clinicians, community health workers, patients and researchers. PatientTocâ„¢ is used in waiting rooms, pre-visit areas, exam rooms, and educator rooms. Patients interact with a 10-inch android tablet that is either hand held or installed in a case or holder attached to a table. Consistent with research on low-literacy, the system presents one question at a time. Patients use disposable ear buds to maintain confidentiality when patients use the read aloud function. The system can deliver any PROs and responses are transmitted real time to the PatientTocâ„¢ server where staff and clinicians can access the results both as a pdf replica of a paper version of the completed survey, and as an aggregated SQL or Excel database. PatientTocâ„¢ integrates with EHRs via Health Level Seven (HL7) standards or Fast Healthcare Interoperability Resources (FHIR) interfaces, and through third party integration with service provider systems. Currently, PatientTocâ„¢ is being used in over 36 practices including 2 Federally Qualified Health Centers. Two California health plans have also used the system to transmit mandatory initial health assessments. Approximately 10,000 patients have completed PROs on PatientTocâ„¢ tablets, including the: PHQ-9, Medicare Health Risk Assessments, SBIRT screening, and others.
Aim 1: Conduct a pre-implementation developmental formative evaluation to determine community pharmacy workflow and current practices for identifying and resolving medication non-adherence, potential barriers and facilitators to PatientTocâ„¢ implementation, and create a draft implementation toolkit. This Aim was previously completed under a separate exempt protocol
Aim 2: Conduct two plan-do-study-act (PDSA) cycles to refine an implementation toolkit for spreading and scaling implementation of PatientTocâ„¢ in community pharmacies.
Aim 3: Conduct a comprehensive, theory-driven evaluation of the quality of care, implementation, and patient health outcomes of spreading and scaling PatientTocâ„¢ to community pharmacies.
Aim 4: To explore the feasibility of linking PROs data from PatientTocâ„¢ with healthcare utilization data. This will inform future research.
Aim 5: To conduct exploratory and secondary analyses to examine variations in medication therapy problems (MTPs), pharmacist interventions, and PatientTocâ„¢ outcomes by implementation scope and patient characteristics. Secondary analyses using Aim 1 data might also be completed, such as examining expected barriers from a staff perspective vs. actual concerns identified in Aims 2 and 3 pertaining to feasibility and acceptability.
Aim 6: To evaluate a novel continuing education (CE) program provided to pharmacies as part of the PatientTocâ„¢ implementation toolkit.
Aim 7: To assess participating pharmacists' perceptions of participating in this study.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Pharmacy staff | Pharmacy staff working at pharmacies which have chosen to implement PatientToc software for this implementation science project and evaluation. Pharmacy staff will be observed and participate in interviews pertaining to their experiences using PatientToc. |
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| Pharmacy patients | Patients engaged in completing medication adherence-related questionnaires in the PatientToc software at their pharmacies. Patient-level medication, health history, and self-reported adherence information will be collected from patients meeting eligibility criteria. Patients will also be observed and interviewed about their experiences using PatientToc. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| PatientToc use in pharmacies | Other | PatientToc has been adapted for use in pharmacies. Patients using specific medications will be prompted to complete questionnaires about their self-reported adherence. |
| Measure | Description | Time Frame |
|---|---|---|
| Self-reported medication adherence, measured by Brief Medication Questionnaire | Validated survey consisting of 4 items asking respondents to consider their medication adherence for each regularly scheduled prescription medication of interest over the past 7 days | Monthly, up to 7 months |
| Measure | Description | Time Frame |
|---|---|---|
| Self-reported medication adherence measured by the Merck Medication Adherence Estimator (Adherence Estimator), | Validated 3 item questionnaire measuring self-reported adherence barriers pertaining to cost, concerns, and commitment for specific medications | Monthly, up to 7 months |
| Medication regimen complexity measured by the Medication Regimen Complexity Index (MRCI), |
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Pharmacist/pharmacy staff eligibility criteria:
Pharmacy patient eligibility criteria:
The specific pharmacy workflow for introducing patients to PatientTocâ„¢ may vary by participating pharmacy. For example, all pharmacy patients might have the opportunity to complete PROs in the tablet/mobile application (if desired by the pharmacy) with only a subset included in our evaluation. This variation does not change our study/evaluation procedures and is allowed to facilitate successful PatientTocâ„¢ implementation in patient care.
For the purposes of this evaluation, individual-level data will be sought from patients who are:
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Pharmacy staff and patients at pharmacies agreeing to implement PatientToc as part of this implementation science project.
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| Name | Affiliation | Role |
|---|---|---|
| Margie E Snyder, PharmD, MPH | Purdue University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Purdue University | West Lafayette | Indiana | 46202 | United States |
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| Type | Date | Date Unknown |
|---|---|---|
| Release | Feb 28, 2025 | |
| Reset | Mar 21, 2025 |
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| Release Date | Unrelease Date | Unrelease Date Unknown | Reset Date | MCP Release Number |
|---|---|---|---|---|
| Feb 28, 2025 | Mar 21, 2025 |
| ID | Term |
|---|---|
| D055118 | Medication Adherence |
| ID | Term |
|---|---|
| D010349 | Patient Compliance |
| D010342 | Patient Acceptance of Health Care |
| D000074822 | Treatment Adherence and Compliance |
| D015438 | Health Behavior |
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| ID | Term |
|---|---|
| D010594 | Pharmacies |
| ID | Term |
|---|---|
| D006268 | Health Facilities |
| D005159 | Health Care Facilities Workforce and Services |
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| OTHER |
| Agency for Healthcare Research and Quality (AHRQ) | FED |
| Indiana Clinical and Translational Sciences Institute | OTHER |
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Automated 65-item tool measuring regimen complexity across three components: form/route, dosing frequency, and special instructions using the patient's prescription fill data at the pharmacy |
| Monthly, up to 7 months in select patients only |
| Pharmacy-level population medication adherence measured by from pharmacy-level EQuIPP data | Program administered by Pharmacy Quality Solutions, Inc., that provides community pharmacies with report cards for their performance on proportion prescriptions filled for pertaining to medication use within categories of interest | Prior to and at the end of the intervention |
| Acceptability of intervention | Perceptions among stakeholders regarding satisfaction with PatientToc implementation, as measured by qualitative themes identified through direct observation and interviews as well as descriptive statistics on refusal data (patients declining participation, skipping items) | Monthly, up to 7 months |
| Adoption of intervention | The initial decision to utilize PatientToc in pharmacy practice, as measured by qualitative themes identified through direct observation and interviews as well as descriptive statistics on patient utilization (number of patients consented, measures completed) | Monthly, up to 7 months |
| Appropriateness of intervention | Perceived relevance and compatibility of PatientToc for community pharmacies, as measured by qualitative themes identified through direct observation and interviews. | First month of implementation |
| Costs of intervention | Descriptive statistics (mean, SD, total) of costs of implementing PatientToc at participating pharmacies. | Monthly, up to 7 months |
| Feasibility of intervention | The extent to which PatientToc can be successfully used in community pharmacies, measured using a mixed methods approach combining qualitative themes identified through direct observation and interviews and number of contacts made with pharmacy to discuss issues with the intervention. | Monthly, up to 7 months |
| Fidelity of intervention | The degree to which PatientToc was implemented as intended, as measured by qualitative themes identified through direct observation and interviews as well as descriptive statistics on pharmacy adherence to PatientToc implementation as directed per implementation toolkit (e.g., number of days per PDSA when PatientToc was accessed; proportion of patients for whom PatientToc data was reviewed and used by the pharmacist during (as opposed to after) patient visit to pharmacy.) | Monthly, up to 7 months |
| Penetration of intervention | Integration of PatientToc within community pharmacies measured by descriptive statistics on pharmacy-level utilization of PatientToc (e.g., percent of pharmacist shifts) | monthly, up to 7 months |
| Sustainability of intervention | Extent to which PatientToc is maintained within community pharmacies measured by number of consecutive months goal level of patient participation achieved | monthly, up to 7 months |
| Prescription transfers | Prescription transfers in and out of pharmacy (self-report) during observation period. | monthly, up to 7 months |
| Prescription volume | Prescriptions dispensed by pharmacy (self-report) during observation period. | monthly, up to 7 months |
| Patient satisfaction | Patient satisfaction with pharmacy services (self-report) during observation period. Items will be analyzed individually. These items will not be tabulated to create a scale. | monthly, up to 7 months |
| D001519 | Behavior |