Pub Date : 2023-01-01Epub Date: 2023-04-20DOI: 10.46804/2641-2225.1144
Brian Nolan, Emma R Daybranch, Kerri Barton, Neil Korsen
Introduction: The development of autonomous artificial intelligence for interpreting diabetic retinopathy (DR) images has allowed for point-of-care testing in the primary care setting. This study describes patient and provider experiences and perceptions of the artificial intelligence DR screening technology called EyeArt by EyeNuk during implementation of the tool at Western Maine Primary Care in Norway, Maine.
Methods: This non-randomized, single-center, prospective observational study surveyed 102 patients and 13 primary care providers on their experience of the new screening intervention.
Results: All surveyed providers agreed that the new screening tool would improve access and annual screening rates. Some providers also identified initial challenges in incorporating the tool into the primary care visit (31%). Patients expressed a favorable view of the service, sharing an openness to being screened more regularly (75%) and a desire to have screenings performed at Western Maine Primary Care going forward (81%).
Discussion: Patients were generally favorable about their experience with the new DR screening technology. Providers indicated challenges due to the limited availability of trained medical assistant photographers during the initial implementation of DR screening, as well as timing issues in coordinating screening with regular office appointments.
Conclusions: This study supports further investigation of this technology in primary care, particularly in areas with challenges to care access. The potential benefits of this innovative tool in caring for people with diabetes includes improving access to retinopathy screenings and supporting wider detection of vision-threatening retinopathy.
{"title":"Patient and Provider Experience with Artificial Intelligence Screening Technology for Diabetic Retinopathy in a Rural Primary Care Setting.","authors":"Brian Nolan, Emma R Daybranch, Kerri Barton, Neil Korsen","doi":"10.46804/2641-2225.1144","DOIUrl":"10.46804/2641-2225.1144","url":null,"abstract":"<p><strong>Introduction: </strong>The development of autonomous artificial intelligence for interpreting diabetic retinopathy (DR) images has allowed for point-of-care testing in the primary care setting. This study describes patient and provider experiences and perceptions of the artificial intelligence DR screening technology called EyeArt by EyeNuk during implementation of the tool at Western Maine Primary Care in Norway, Maine.</p><p><strong>Methods: </strong>This non-randomized, single-center, prospective observational study surveyed 102 patients and 13 primary care providers on their experience of the new screening intervention.</p><p><strong>Results: </strong>All surveyed providers agreed that the new screening tool would improve access and annual screening rates. Some providers also identified initial challenges in incorporating the tool into the primary care visit (31%). Patients expressed a favorable view of the service, sharing an openness to being screened more regularly (75%) and a desire to have screenings performed at Western Maine Primary Care going forward (81%).</p><p><strong>Discussion: </strong>Patients were generally favorable about their experience with the new DR screening technology. Providers indicated challenges due to the limited availability of trained medical assistant photographers during the initial implementation of DR screening, as well as timing issues in coordinating screening with regular office appointments.</p><p><strong>Conclusions: </strong>This study supports further investigation of this technology in primary care, particularly in areas with challenges to care access. The potential benefits of this innovative tool in caring for people with diabetes includes improving access to retinopathy screenings and supporting wider detection of vision-threatening retinopathy.</p>","PeriodicalId":93781,"journal":{"name":"Journal of Maine Medical Center","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11309021/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45672537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01Epub Date: 2023-07-12DOI: 10.46804/2641-2225.1143
Ruth Frydman
Introduction: There is a shortage of psychiatric providers trained to work in community settings with people with serious mental illness (SMI) and associated comorbidities. We designed an innovative psychiatry rotation and curriculum for psychiatry residents and other learners.
Methods: The rotation incorporates working with our Assertive Community Treatment team and includes home visits, assertive outreach, and visits in other community settings. It was designed to improve learners' confidence in their understanding and skill set for working with and treating people with SMI in the community on an interprofessional (IP) team. This pilot quality improvement project evaluated psychiatry resident responses to the rotation using a standard evaluation form (residents) and post-rotation debriefing (all learners and IP staff).
Results: Preliminary responses to the evaluation form indicated that the rotation improved residents' confidence in their knowledge of underlying approaches, social determinants of mental health, and community resources. The rotation also improved their skills in working collaboratively with people with SMI, IP teams, and people with serious substance use disorders. Debriefing sessions revealed that the rotation was rated highly by learners and IP staff.
Discussion: Preliminary results suggest that the rotation (1) was well received by learners and IP staff and (2) increased residents' confidence in their understanding and skill set for working in community psychiatry on an IP team.
Conclusions: Using an IP team model, this rotation provides an opportunity for improving learners' confidence in their expertise, skills, and understanding of how to work with patients with SMI and comorbidities who are marginalized and difficult to engage.
{"title":"Developing an Interprofessional Community Psychiatry Rotation Using an Assertive Community Treatment Team Model: A Preliminary Evaluation.","authors":"Ruth Frydman","doi":"10.46804/2641-2225.1143","DOIUrl":"10.46804/2641-2225.1143","url":null,"abstract":"<p><strong>Introduction: </strong>There is a shortage of psychiatric providers trained to work in community settings with people with serious mental illness (SMI) and associated comorbidities. We designed an innovative psychiatry rotation and curriculum for psychiatry residents and other learners.</p><p><strong>Methods: </strong>The rotation incorporates working with our Assertive Community Treatment team and includes home visits, assertive outreach, and visits in other community settings. It was designed to improve learners' confidence in their understanding and skill set for working with and treating people with SMI in the community on an interprofessional (IP) team. This pilot quality improvement project evaluated psychiatry resident responses to the rotation using a standard evaluation form (residents) and post-rotation debriefing (all learners and IP staff).</p><p><strong>Results: </strong>Preliminary responses to the evaluation form indicated that the rotation improved residents' confidence in their knowledge of underlying approaches, social determinants of mental health, and community resources. The rotation also improved their skills in working collaboratively with people with SMI, IP teams, and people with serious substance use disorders. Debriefing sessions revealed that the rotation was rated highly by learners and IP staff.</p><p><strong>Discussion: </strong>Preliminary results suggest that the rotation (1) was well received by learners and IP staff and (2) increased residents' confidence in their understanding and skill set for working in community psychiatry on an IP team.</p><p><strong>Conclusions: </strong>Using an IP team model, this rotation provides an opportunity for improving learners' confidence in their expertise, skills, and understanding of how to work with patients with SMI and comorbidities who are marginalized and difficult to engage.</p>","PeriodicalId":93781,"journal":{"name":"Journal of Maine Medical Center","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11376269/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46872598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Dudley, C. McGuire, A. Kumarage, C. Anumaka, K. Ahrens
Introduction: The accuracy of the drug dependency checkbox on the Maine birth certificate is unknown. Our objective was to compare the drug dependency checkbox with information on substance use disorders as documented in Medicaid claims data. Methods: Using rule-based deterministic matching, we linked Medicaid enrollment information to 2016-2020 Maine birth record data (N=58,584). Among the linked records (n=27,448), we identified maternal substance use disorder (SUD) diagnoses during the 280 days before through 7 days after delivery using ICD-CM-10 diagnosis codes. We used the following hierarchy to create mutually exclusive SUD categories: opioid use disorder (OUD), cannabis use disorder without cocaine use disorder, and other SUD disorders (alcohol, cocaine, nicotine, or other substance use diagnosis). Results: Among women enrolled in Medicaid at the time of delivery, 12% had drug dependency indicated on their birth record and 33% had at least one SUD diagnosis recorded in their Medicaid claims during pregnancy. Among the birth records with the drug dependency checkbox checked, 56% had an OUD, 25% cannabis use disorder without cocaine use disorder, 8% other SUD, and 10% had no SUD. Among those with the drug dependency checkbox unchecked, the corresponding percentages were 4%, 9%, 13%, and 75%. Discussion: Although diagnoses of OUD and cannabis use disorder were more common among birth records with the drug dependency checkbox checked, reporting of drug dependency on the birth record does not appear to accurately indicate SUD during pregnancy. Conclusions: Our findings suggest the drug dependency checkbox on the Maine birth certificate may be of limited value in identifying SUD during pregnancy.
{"title":"Accuracy of the drug dependency checkbox on the Maine birth certificate for Medicaid-covered births, 2016-2020","authors":"J. Dudley, C. McGuire, A. Kumarage, C. Anumaka, K. Ahrens","doi":"10.46804/2641-2225.1139","DOIUrl":"https://doi.org/10.46804/2641-2225.1139","url":null,"abstract":"Introduction: The accuracy of the drug dependency checkbox on the Maine birth certificate is unknown. Our objective was to compare the drug dependency checkbox with information on substance use disorders as documented in Medicaid claims data. Methods: Using rule-based deterministic matching, we linked Medicaid enrollment information to 2016-2020 Maine birth record data (N=58,584). Among the linked records (n=27,448), we identified maternal substance use disorder (SUD) diagnoses during the 280 days before through 7 days after delivery using ICD-CM-10 diagnosis codes. We used the following hierarchy to create mutually exclusive SUD categories: opioid use disorder (OUD), cannabis use disorder without cocaine use disorder, and other SUD disorders (alcohol, cocaine, nicotine, or other substance use diagnosis). Results: Among women enrolled in Medicaid at the time of delivery, 12% had drug dependency indicated on their birth record and 33% had at least one SUD diagnosis recorded in their Medicaid claims during pregnancy. Among the birth records with the drug dependency checkbox checked, 56% had an OUD, 25% cannabis use disorder without cocaine use disorder, 8% other SUD, and 10% had no SUD. Among those with the drug dependency checkbox unchecked, the corresponding percentages were 4%, 9%, 13%, and 75%. Discussion: Although diagnoses of OUD and cannabis use disorder were more common among birth records with the drug dependency checkbox checked, reporting of drug dependency on the birth record does not appear to accurately indicate SUD during pregnancy. Conclusions: Our findings suggest the drug dependency checkbox on the Maine birth certificate may be of limited value in identifying SUD during pregnancy.","PeriodicalId":93781,"journal":{"name":"Journal of Maine Medical Center","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42240011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tracy Jalbuena, Rebecca Hemphill, Megan F. Selvitelli, Jasmine Bishop, Adam Ouellette, R. Alfiero
Introduction: Telehealth use has dramatically increased due to the COVID-19 pandemic. Yet there are significant gaps in evidence regarding the clinical appropriateness of synchronous visits for ambulatory telemedicine that are under the umbrella of telehealth and defined as video appointments between patients and providers. As a result, there are few sensible guidelines for day-to-day practice, resulting in a lack of standardization and risk of suboptimal care. Methods: We developed patient inclusion/exclusion guidelines for use in ambulatory telemedicine. Complementary tools included guides on patient preparation, telemedicine physical exam, and provider etiquette. We analyzed telemedicine use by practice type and surveyed a subset of MaineHealth ambulatory practices regarding the applicability of the guidelines. Results: Volume and specialty distribution data show that although telemedicine volume increased significantly, use varied by specialty. Behavioral health providers used telemedicine the most, followed by primary care, medical specialties, and, finally, surgical specialties. Stratification intensified as restrictions on in-person care declined. Discussion: We observed the expected pattern of use by specialty type, given our inclusion/exclusion criteria. Although these criteria may be conceptually straightforward, implementation is not. We operationalized these concepts to ensure individual practices can adapt and implement these insights in a reproducible and predictable way, leading to increased standardization across the health system. Conclusions: Clinical teams need help determining how to best use telemedicine tools. Here, we provide practice-level guidelines focused on practical implementation. We hope this communication advances the effort to develop standards of care for telemedicine indications.
{"title":"Who and How: Telemedicine Eligibility and Participant Guidelines in the Ambulatory Setting","authors":"Tracy Jalbuena, Rebecca Hemphill, Megan F. Selvitelli, Jasmine Bishop, Adam Ouellette, R. Alfiero","doi":"10.46804/2641-2225.1123","DOIUrl":"https://doi.org/10.46804/2641-2225.1123","url":null,"abstract":"Introduction: Telehealth use has dramatically increased due to the COVID-19 pandemic. Yet there are significant gaps in evidence regarding the clinical appropriateness of synchronous visits for ambulatory telemedicine that are under the umbrella of telehealth and defined as video appointments between patients and providers. As a result, there are few sensible guidelines for day-to-day practice, resulting in a lack of standardization and risk of suboptimal care. Methods: We developed patient inclusion/exclusion guidelines for use in ambulatory telemedicine. Complementary tools included guides on patient preparation, telemedicine physical exam, and provider etiquette. We analyzed telemedicine use by practice type and surveyed a subset of MaineHealth ambulatory practices regarding the applicability of the guidelines. Results: Volume and specialty distribution data show that although telemedicine volume increased significantly, use varied by specialty. Behavioral health providers used telemedicine the most, followed by primary care, medical specialties, and, finally, surgical specialties. Stratification intensified as restrictions on in-person care declined. Discussion: We observed the expected pattern of use by specialty type, given our inclusion/exclusion criteria. Although these criteria may be conceptually straightforward, implementation is not. We operationalized these concepts to ensure individual practices can adapt and implement these insights in a reproducible and predictable way, leading to increased standardization across the health system. Conclusions: Clinical teams need help determining how to best use telemedicine tools. Here, we provide practice-level guidelines focused on practical implementation. We hope this communication advances the effort to develop standards of care for telemedicine indications.","PeriodicalId":93781,"journal":{"name":"Journal of Maine Medical Center","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45994218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Erin H. Hartigan, Cassidy Sirois, Jonathan Lindau, Taylor Lockwood, V. Nesom, Nan M. Solomons
Introduction: An application (app) that summarizes best practices may promote standardized care among clinicians treating patients during anterior cruciate ligament (ACL) rehabilitation. The purpose of this study was to test the prototype of the Ready Set Return (RSR) app to determine receptiveness for use in clinical practice. Methods: Two mock patient cases were used to familiarize 19 physical therapists and athletic trainers with the RSR app. Then these participants provided feedback about the user experience, features, and content using Likert ratings and free-text fields through an online survey. Results: Most participants (89%-95%) would recommend the RSR app to others and noted that the app would allow them to stay up to date with current practice. Thematic analysis of free-text responses indicated that the app was easy to navigate and that evidence-based progressions and clinical milestones were useful in clinical practice. Users suggested enhancements that included adding patient access and specific treatment options. Discussion: Generalizable findings suggest that clinicians appreciated the details and images of specific tests and measures; automatic test scoring; and standardized benchmarks to progress care. Specific findings suggest the RSR app’s summary of evidence-informed practice may help standardize care, specifically for patients undergoing rehabilitation after ACL reconstruction. Conclusion: This subset of clinicians reacted positively to the prototype and felt that the RSR app would benefit their practice and patients. This feedback will guide the next iteration, advancing from a low-fidelity to high-fidelity prototype.
{"title":"Projected Utility of the Ready Set Return Application","authors":"Erin H. Hartigan, Cassidy Sirois, Jonathan Lindau, Taylor Lockwood, V. Nesom, Nan M. Solomons","doi":"10.46804/2641-2225.1129","DOIUrl":"https://doi.org/10.46804/2641-2225.1129","url":null,"abstract":"Introduction: An application (app) that summarizes best practices may promote standardized care among clinicians treating patients during anterior cruciate ligament (ACL) rehabilitation. The purpose of this study was to test the prototype of the Ready Set Return (RSR) app to determine receptiveness for use in clinical practice. Methods: Two mock patient cases were used to familiarize 19 physical therapists and athletic trainers with the RSR app. Then these participants provided feedback about the user experience, features, and content using Likert ratings and free-text fields through an online survey. Results: Most participants (89%-95%) would recommend the RSR app to others and noted that the app would allow them to stay up to date with current practice. Thematic analysis of free-text responses indicated that the app was easy to navigate and that evidence-based progressions and clinical milestones were useful in clinical practice. Users suggested enhancements that included adding patient access and specific treatment options. Discussion: Generalizable findings suggest that clinicians appreciated the details and images of specific tests and measures; automatic test scoring; and standardized benchmarks to progress care. Specific findings suggest the RSR app’s summary of evidence-informed practice may help standardize care, specifically for patients undergoing rehabilitation after ACL reconstruction. Conclusion: This subset of clinicians reacted positively to the prototype and felt that the RSR app would benefit their practice and patients. This feedback will guide the next iteration, advancing from a low-fidelity to high-fidelity prototype.","PeriodicalId":93781,"journal":{"name":"Journal of Maine Medical Center","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49439395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Being There: Engaging in Conversations About a Child’s Future When They Are Facing Serious Illness","authors":"Christine C Bennett","doi":"10.46804/2641-2225.1131","DOIUrl":"https://doi.org/10.46804/2641-2225.1131","url":null,"abstract":"","PeriodicalId":93781,"journal":{"name":"Journal of Maine Medical Center","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47532526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Trends in Cannabis-Related and Opioid-Related Hospitalization Rates in Maine, 2010-2020","authors":"S. McMahon, Katherine Ahrens","doi":"10.46804/2641-2225.1119","DOIUrl":"https://doi.org/10.46804/2641-2225.1119","url":null,"abstract":"","PeriodicalId":93781,"journal":{"name":"Journal of Maine Medical Center","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45836056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Recommended Citation Hemphill, Sarah BA; Silvia, Kristen MD; and Kimball, Marc D. MD (2022) "Increasing Naloxone CoPrescribing Among At-Risk Individuals: Evaluation of a Quality Improvement Project in a Large Health System," Journal of Maine Medical Center: Vol. 4 : Iss. 2 , Article 10. Available at: https://knowledgeconnection.mainehealth.org/jmmc/vol4/iss2/10 https://doi.org/10.46804/ 2641-2225.1109
{"title":"Increasing Naloxone Co-Prescribing Among At-Risk Individuals: Evaluation of a Quality Improvement Project in a Large Health System","authors":"Sarah Hemphill, Kristen Silvia, Marc D. Kimball","doi":"10.46804/2641-2225.1109","DOIUrl":"https://doi.org/10.46804/2641-2225.1109","url":null,"abstract":"Recommended Citation Hemphill, Sarah BA; Silvia, Kristen MD; and Kimball, Marc D. MD (2022) \"Increasing Naloxone CoPrescribing Among At-Risk Individuals: Evaluation of a Quality Improvement Project in a Large Health System,\" Journal of Maine Medical Center: Vol. 4 : Iss. 2 , Article 10. Available at: https://knowledgeconnection.mainehealth.org/jmmc/vol4/iss2/10 https://doi.org/10.46804/ 2641-2225.1109","PeriodicalId":93781,"journal":{"name":"Journal of Maine Medical Center","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44448699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Qualitative Analysis of Postgraduate Training Programs for Family Nurse Practitioners","authors":"John R Massey","doi":"10.46804/2641-2225.1125","DOIUrl":"https://doi.org/10.46804/2641-2225.1125","url":null,"abstract":"","PeriodicalId":93781,"journal":{"name":"Journal of Maine Medical Center","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45357135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. K. Nenninger, Katherine Sharp, B. Bustamente, K. Murray, K. Thakarar
Recommended Citation Nenninger, E Katherine; Sharp, Katherine; Bustamente, Bianca; Murray, Kim; and Thakarar, Kinna (2022) "Association Between Primary Care Provider Status and Preventive Health Care Among People Who Inject Drugs," Journal of Maine Medical Center: Vol. 4 : Iss. 2 , Article 5. Available at: https://knowledgeconnection.mainehealth.org/jmmc/vol4/iss2/5 https://doi.org/10.46804/ 2641-2225.1133
{"title":"Association Between Primary Care Provider Status and Preventive Health Care Among People Who Inject Drugs","authors":"E. K. Nenninger, Katherine Sharp, B. Bustamente, K. Murray, K. Thakarar","doi":"10.46804/2641-2225.1133","DOIUrl":"https://doi.org/10.46804/2641-2225.1133","url":null,"abstract":"Recommended Citation Nenninger, E Katherine; Sharp, Katherine; Bustamente, Bianca; Murray, Kim; and Thakarar, Kinna (2022) \"Association Between Primary Care Provider Status and Preventive Health Care Among People Who Inject Drugs,\" Journal of Maine Medical Center: Vol. 4 : Iss. 2 , Article 5. Available at: https://knowledgeconnection.mainehealth.org/jmmc/vol4/iss2/5 https://doi.org/10.46804/ 2641-2225.1133","PeriodicalId":93781,"journal":{"name":"Journal of Maine Medical Center","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46856675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号