Phenotyping Adherence Through Technology-Enabled Reports and Navigation (the PATTERN Study): Qualitative Study for Intervention Adaptation Using the Exploration, Preparation, Implementation, and Sustainment Framework.

Allison P Pack, Stacy C Bailey, Rachel O'Conor, Evelyn Velazquez, Guisselle Wismer, Fangyu Yeh, Laura M Curtis, Kenya Alcantara, Michael S Wolf
Author Information
  1. Allison P Pack: Division of General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States. ORCID
  2. Stacy C Bailey: Division of General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States. ORCID
  3. Rachel O'Conor: Division of General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States. ORCID
  4. Evelyn Velazquez: Division of General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States. ORCID
  5. Guisselle Wismer: Division of General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States. ORCID
  6. Fangyu Yeh: Division of General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States. ORCID
  7. Laura M Curtis: Division of General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States. ORCID
  8. Kenya Alcantara: Division of General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States. ORCID
  9. Michael S Wolf: Division of General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States. ORCID

Abstract

BACKGROUND: Older adults with multiple chronic conditions (MCC) and polypharmacy often face challenges with medication adherence. Nonadherence can lead to suboptimal treatment outcomes, adverse drug events, and poor quality of life.
OBJECTIVE: To facilitate medication adherence among older adults with MCC and polypharmacy in primary care, we are adapting a technology-enabled intervention previously implemented in a specialty clinic. The objective of this study was to obtain multilevel feedback to inform the adaptation of the proposed intervention (Phenotyping Adherence Through Technology-Enabled Reports and Navigation [PATTERN]).
METHODS: We conducted a formative qualitative study among patients, clinicians, and clinic administrators affiliated with a large academic health center in Chicago, Illinois. Patient eligibility included being aged 65 years or older, living with MCC, and contending with polypharmacy. Eligibility criteria for clinicians and administrators included being employed by any primary care clinic affiliated with the participating health center. Individual semistructured interviews were conducted remotely by a trained member of the study team using interview guides informed by the Exploration, Preparation, Implementation, and Sustainment Framework. Thematic analysis of interview audio recordings drew from the Rapid Identification of Themes from Audio Recordings procedures.
RESULTS: In total, we conducted 25 interviews, including 12 with clinicians and administrators, and 13 with patients. Thematic analysis revealed participants largely found the idea of technology-based medication adherence monitoring to be acceptable and appropriate for the target population in primary care, although several concerns were raised; we discuss these in detail.
CONCLUSIONS: Our medication adherence monitoring intervention, adapted from specialty care, will be implemented in primary care. Formative interviews, informed by the Exploration, Preparation, Implementation, and Sustainment Framework and conducted among patients, clinicians, and administrators, have identified intervention adaptation needs. Results from this study could inform other interventions using the patient portal with older adults.

Keywords

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Grants

  1. P30 AG059988/NIA NIH HHS
  2. UL1 TR001422/NCATS NIH HHS

MeSH Term

Humans
Aged
Medication Adherence
Female
Male
Qualitative Research
Chicago
Aged, 80 and over
Multiple Chronic Conditions
Polypharmacy

Word Cloud

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