{"id":{"repo_id":"penn","oai_identifier":"oai:repository.upenn.edu:20.500.14332/49196"},"canonical_url":"https://search.dev.ndltd.org/etd/penn/oai:repository.upenn.edu:20.500.14332/49196","repository":{"repo_id":"penn","name":"University of Pennsylvania","base_url":"https://repository.upenn.edu/server/oai/request"},"display":{"title":"Fostering Medication Adherence: An Application of Mental Models","abstract":"Medication non-adherence is a public health issue that stems across therapeutic areas and worsens over time. Research suggests that patients and providers have various mental models or understandings of non-adherence, and that each understanding calls for different interventions. This qualitative analysis identifies ten mental models of medication non-adherence through a critical literature review; and uses semi-structured stakeholder interviews to recommend appropriate mitigation strategies for each mental model. Strategies that tackle more than one mental model are expected to be most effective in reducing non-adherence amongst patients, as they cast a wider net. In the long-term, a screening tool aimed at identifying patients’ mental models could lead to more personalized, targeted, and effective interventions to increase adherence.","abstract_html":"Medication non-adherence is a public health issue that stems across therapeutic areas and worsens over time. Research suggests that patients and providers have various mental models or understandings of non-adherence, and that each understanding calls for different interventions. This qualitative analysis identifies ten mental models of medication non-adherence through a critical literature review; and uses semi-structured stakeholder interviews to recommend appropriate mitigation strategies for each mental model. Strategies that tackle more than one mental model are expected to be most effective in reducing non-adherence amongst patients, as they cast a wider net. In the long-term, a screening tool aimed at identifying patients’ mental models could lead to more personalized, targeted, and effective interventions to increase adherence.","abstract_has_math":false,"creators":["Boualam, Nada"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Yoram (Jerry) Wind"],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017-01-01","date_published":"2017-01-01","updated_at":"2026-07-24T03:47:40Z","subjects":[],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://repository.upenn.edu/handle/20.500.14332/49196","outbound_label":"Repository record","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Yoram (Jerry) Wind"]},{"key":"dc:creator","label":"Author","values":["Boualam, Nada"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2023-05-17T18:08:36.000"]},{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2023-05-23T04:47:45Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2023-05-23T04:47:45Z"]},{"key":"dc:date.issued","label":"Date","values":["2017-01-01"]},{"key":"dc:type","label":"Dc Type","values":["Dissertation/Thesis"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://repository.upenn.edu/handle/20.500.14332/49196"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Medication non-adherence is a public health issue that stems across therapeutic areas and worsens over time. Research suggests that patients and providers have various mental models or understandings of non-adherence, and that each understanding calls for different interventions. This qualitative analysis identifies ten mental models of medication non-adherence through a critical literature review; and uses semi-structured stakeholder interviews to recommend appropriate mitigation strategies for each mental model. Strategies that tackle more than one mental model are expected to be most effective in reducing non-adherence amongst patients, as they cast a wider net. In the long-term, a screening tool aimed at identifying patients’ mental models could lead to more personalized, targeted, and effective interventions to increase adherence."]},{"key":"dc:title","label":"Title","values":["Fostering Medication Adherence: An Application of Mental Models"]}]}],"canonical_facts":{"dc:contributor.advisor":["Yoram (Jerry) Wind"],"dc:creator":["Boualam, Nada"],"dc:date":["2023-05-17T18:08:36.000"],"dc:date.accessioned":["2023-05-23T04:47:45Z"],"dc:date.available":["2023-05-23T04:47:45Z"],"dc:date.issued":["2017-01-01"],"dc:description.abstract":["Medication non-adherence is a public health issue that stems across therapeutic areas and worsens over time. Research suggests that patients and providers have various mental models or understandings of non-adherence, and that each understanding calls for different interventions. This qualitative analysis identifies ten mental models of medication non-adherence through a critical literature review; and uses semi-structured stakeholder interviews to recommend appropriate mitigation strategies for each mental model. Strategies that tackle more than one mental model are expected to be most effective in reducing non-adherence amongst patients, as they cast a wider net. In the long-term, a screening tool aimed at identifying patients’ mental models could lead to more personalized, targeted, and effective interventions to increase adherence."],"dc:identifier.uri":["https://repository.upenn.edu/handle/20.500.14332/49196"],"dc:title":["Fostering Medication Adherence: An Application of Mental Models"],"dc:type":["Dissertation/Thesis"]},"updated_at":"2026-07-24T03:47:40Z"}