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Cheville AL, Basford JR. A View of the Development of Patient-Reported Outcomes Measures, Their Clinical Integration, Electronification, and Potential Impact on Rehabilitation Service Delivery. Arch Phys Med Rehabil 2022; 103:S24-S33. [PMID: 34896403 DOI: 10.1016/j.apmr.2021.10.031] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 10/20/2021] [Indexed: 11/25/2022]
Abstract
Recognition of the importance of a patient's perception of their status and experience has become central to medical care and its evaluation. This recognition has led to a growing reliance on the use of patient-reported outcome measures (PROMs). Nevertheless, although awareness of PROMs and acceptance of their utility has increased markedly, few of us have a good insight into their development; their utility relative to clinician-rated and performance measures such as the FIM and 6-minute walk test or how their "electronification" and incorporation into electronic health records (EHRs) may improve the individualization, value, and quality of medical care. In all, the goal of this commentary is to provide some insight into historical factors and technology developments that we believe have shaped modern clinical PROMs as they relate to medicine in general and to rehabilitation in particular. In addition, we speculate that while the growth of PROM use may have been triggered by an increased emphasis on the centrality of the patient in their care, future uptake will be shaped by their embedding in EHRs and used to improve clinical decision support though their integration with other sources of clinical and sociodemographic data.
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Affiliation(s)
- Andrea L Cheville
- Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, Minnesota
| | - Jeffrey R Basford
- Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, Minnesota.
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Angstman KB, Wi CI, Williams MD, Bohn BA, Garrison GM. Impact of socioeconomic status on depression clinical outcomes at six months in a Midwestern, United States community. J Affect Disord 2021; 292:751-756. [PMID: 34167024 DOI: 10.1016/j.jad.2021.05.098] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 04/30/2021] [Accepted: 05/30/2021] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Lower socioeconomic status (SES) has been associated with poor healthcare outcomes in depression. However, reliable individual-level SES data rarely exists for clinical research. The HOUSES index relies on publicly available data allowing for evaluation of individual-level SES on patient outcomes. HYPOTHESIS Primary care patients with depression within the lower SES quartile (Quartile 1 vs. Quartile 4, of the HOUSES index) would experience worse clinical outcomes of their symptoms six months after diagnosis. STUDY DESIGN A retrospective cohort study which followed 4313 adult primary care patients that were diagnosed with depression during the study period of 2008-2015. The outcome measures were the six month PHQ-9 scores. RESULTS At six months, a higher HOUSES quartile was associated with greater odds of remission of depressive symptoms (RDS) and lower odds of persistent depressive symptoms (PDS), after controlling for covariates. Patients in Quartile 4 had 27% more likelihood of RDS and a 24% lower likelihood of PDS at six months compared to a Quartile 1 patient. LIMITATIONS As a retrospective study only can observe associations but not causation. Only one institution participated and not all treatments were readily available, limiting the generalizability of these findings. CONCLUSIONS Lower SES as demonstrated by a lower HOUSES quartile (Quartile 1 versus 4) was associated with lower odds of RDS and increased odds of PDS at six months. HOUSES index is a useful tool for identifying patients at risk for worse clinical outcomes and may help health care systems plan resource allocation for depression care.
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Affiliation(s)
- Kurt B Angstman
- Department of Family Medicine, Mayo Clinic, Rochester, MN, United States.
| | - Chung-Il Wi
- Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, United States
| | - Mark D Williams
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
| | - Bradley A Bohn
- Department of Family Medicine, Mayo Clinic, Rochester, MN, United States
| | - Gregory M Garrison
- Department of Family Medicine, Mayo Clinic, Rochester, MN, United States.
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Factors associated with response and remission from depression at 6-months of treatment in a retrospective cohort treated within an integrated care program. BMC Health Serv Res 2021; 21:703. [PMID: 34271912 PMCID: PMC8285801 DOI: 10.1186/s12913-021-06729-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 06/25/2021] [Indexed: 12/03/2022] Open
Abstract
Background Depression causes significant morbidity, which impacts mental health, overall general health outcomes, everyday functioning and quality of life. This study aims to contribute to knowledge in the field through enhanced understanding of factors that influence depression response and remission, with consideration for design of treatment services to optimize depression outcomes within integrated care programs. Methods Using routine behavioral health screening and electronic health record data, we identified a retrospective cohort consisting of 615 adult patients receiving depression treatment within an integrated care program. Cohort member Patient Health Questionnaire (PHQ-9) data was analyzed for the 6 months following initiation of treatment. Multinomial regression models were estimated to identify factors associated with depression treatment response (PHQ-9 < 10) and remission (PHQ-9 < 5). Results At 6 months, 47% of patients demonstrated treatment response and 16% demonstrated remission. Baseline trauma symptoms and suicidal ideation were significantly associated with decreased odds of achieving remission (Odds Ratio (95% CI) [OR] = 0.45 (0.23, 0.88) and OR = 0.49 (0.29, 0.82), respectively). In fully adjusted models, baseline suicidal ideation remained significant (OR = 0.53 (0.31, 0.89)) and some evidence of an association persisted for baseline trauma symptoms (OR = 0.51 (0.25, 1.01)). Conclusions After controlling for baseline depression symptoms, the presence of suicidal ideation is associated with reduced likelihood of remission. Increased understanding of factors associated with depression treatment outcomes may be employed to help guide the delivery and design of clinical services. Alongside routine screening for co-morbid anxiety, suicidal ideation and traumatic stress should be assessed and considered when designing depression treatment services.
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George MP, Garrison GM, Merten Z, Heredia D, Gonzales C, Angstman KB. Impact of Personality Disorder Cluster on Depression Outcomes Within Collaborative Care Management Model of Care. J Prim Care Community Health 2019; 9:2150132718776877. [PMID: 29785866 PMCID: PMC5967151 DOI: 10.1177/2150132718776877] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Previous studies have suggested that having a comorbid personality disorder (PD) along with major depression is associated with poorer depression outcomes relative to those without comorbid PD. However, few studies have examined the influence of specific PD cluster types. The purpose of the current study is to compare depression outcomes between cluster A, cluster B, and cluster C PD patients treated within a collaborative care management (CCM), relative to CCM patients without a PD diagnosis. The overarching goal was to identify cluster types that might confer a worse clinical prognosis. METHODS This retrospective chart review study examined 2826 adult patients with depression enrolled in CCM. The cohort was divided into 4 groups based on the presence of a comorbid PD diagnosis (cluster A/nonspecified, cluster B, cluster C, or no PD). Baseline clinical and demographic variables, along with 6-month follow-up Patient Health Questionnaire-9 (PHQ-9) scores were obtained for all groups. Depression remission was defined as a PHQ-9 score <5 at 6 months, and persistent depressive symptoms (PDS) was defined as a PHQ-9 score ≥10 at 6 months. Adjusted odds ratios (AORs) were determined for both remission and PDS using logistic regression modeling for the 6-month PHQ-9 outcome, while retaining all study variables. RESULTS A total of 59 patients (2.1%) had a cluster A or nonspecified PD diagnosis, 122 patients (4.3%) had a cluster B diagnosis, 35 patients (1.2%) had a cluster C diagnosis, and 2610 patients (92.4%) did not have any PD diagnosis. The presence of a cluster A/nonspecified PD diagnosis was associated with a 62% lower likelihood of remission at 6 months (AOR = 0.38; 95% CI 0.20-0.70). The presence of a cluster B PD diagnosis was associated with a 71% lower likelihood of remission at 6 months (AOR = 0.29; 95% CI 0.18-0.47). Conversely, having a cluster C diagnosis was not associated with a significantly lower likelihood of remission at 6 months (AOR = 0.83; 95% CI 0.42-1.65). Increased odds of having PDS at 6-month follow-up were seen with cluster A/nonspecified PD patients (AOR = 3.35; 95% CI 1.92-5.84) as well as cluster B patients (AOR = 3.66; 95% CI 2.45-5.47). However, cluster C patents did not have significantly increased odds of experiencing persistent depressive symptoms at 6-month follow-up (AOR = 0.95; 95% CI 0.45-2.00). CONCLUSIONS Out of the 3 clusters, the presence of a cluster B PD diagnosis was most significantly associated with poorer depression outcomes at 6-month follow-up, including reduced remission rates and increased risk for PDS. The cluster A/nonspecified PD group also showed poor outcomes; however, the heterogeneity of this subgroup with regard to PD features must be noted. The development of novel targeted interventions for at-risk clusters may be warranted in order to improve outcomes of these patients within the CCM model of care.
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Aronow H, Fila S, Martinez B, Sosna T. Depression and Coleman Care Transitions Intervention. SOCIAL WORK IN HEALTH CARE 2018; 57:750-761. [PMID: 30015601 DOI: 10.1080/00981389.2018.1496514] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
The Coleman Care Transitions Intervention (CTI) is a "Patient Activation Model." Depression can be a barrier to activation and may challenge CTI. This study addressed whether CTI coaches modified the intervention for older adults who screened positive for depression. Over 4,500 clients in a Centers for Medicare and Medicaid Services demonstration completed screening for depression with the PHQ-9; one in five screened positive (score = 9+). Our findings suggest that coaches modified CTI and played a more directive role for clients who screened positive for depression, resulting in similar 30-day readmission rates among patients who screened positive for depression risk and those who did not. That finding stands in contrast to the widely reported higher readmission rates among people screening positive for depression.
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Affiliation(s)
- Harriet Aronow
- a Department of Nursing Research , Cedars-Sinai Medical Center , Los Angeles , USA
| | - Susan Fila
- b Santa Monica College , Department of Health and Wellbeing Services , Los Angeles , CA , USA
| | - Bibiana Martinez
- a Department of Nursing Research , Cedars-Sinai Medical Center , Los Angeles , USA
| | - Todd Sosna
- c Jewish Family Service of Los Angeles , Los Angeles , USA
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Solberg JJ, Deyo-Svendsen ME, Nylander KR, Bruhl EJ, Heredia D, Angstman KB. Collaborative Care Management Associated With Improved Depression Outcomes in Patients With Personality Disorders, Compared to Usual Primary Care. J Prim Care Community Health 2018; 9:2150132718773266. [PMID: 29739287 PMCID: PMC5954311 DOI: 10.1177/2150132718773266] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND The use of a collaborative care management (CCM) model can dramatically improve short- and long-term treatment outcomes for patients with major depressive disorder (MDD). Patients with comorbid personality disorder (PD) may experience poorer treatment outcomes for MDD. Our study seeks to examine the differences in MDD treatment outcomes for patients with comorbid PD when using a CCM approach rather than usual care (UC). METHODS In our retrospective cohort study, we reviewed the records of 9614 adult patients enrolled in our depression registry with the clinical diagnosis MDD and the diagnosis of PD (Yes/No). Clinical outcomes for depression were measured with Patient Health Questionnaire-9 (PHQ-9) scores at 6 months. RESULTS In our study cohort, 59.4% of patients (7.1% of which had comorbid PD) were treated with CCM, as compared with 40.6% (6.8% with PD) treated with UC. We found that the presence of a PD adversely affected clinical outcomes of remission within both groups, however, at 6 months patients with PD had significantly lower MDD remission rates when treated with UC as compared with those treated with CCM (11.5% vs 25.2%, P = .002). Patients with PD in the UC group were also noted to have an increased rate of persistent depressive symptoms (PHQ-9 score ≥10) at 6 months as compared with those in the CCM group (67.7% vs 51.7%, P = .004). CONCLUSIONS In patients with comorbid MDD and PD, clinical outcomes at 6 months were significantly improved when treated with CCM compared with UC. This finding is encouraging and supports the idea that CCM is an effective model for caring for patients with behavioral concerns, and it may be of even greater benefit for those patients being treated for comorbid behavioral health conditions.
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Angstman KB, Seshadri A, Marcelin A, Gonzalez CA, Garrison GM, Allen JS. Personality Disorders in Primary Care: Impact on Depression Outcomes Within Collaborative Care. J Prim Care Community Health 2017; 8:233-238. [PMID: 28613090 PMCID: PMC5932731 DOI: 10.1177/2150131917714929] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Background:Individuals with personality disorders (PDs) are high utilizers of primary care and mental health services; however, they struggle to utilize the care effectively and studies have shown a strong association between having a PD and higher impairment in social role functioning. This is especially important because PDs are highly comorbid with a wide range of other mental health disorders. The collaborative care model (CCM) for depression was developed with an emphasis on patient engagement and aimed to reduce health care utilization, while improving treatment outcomes in primary care. We hypothesized that the diagnosis of a personality disorder in primary care patients will negatively affect 6-month depression outcomes after enrollment into a CCM. Methods: This retrospective chart review study was conducted on patients enrolled into CCM over a period of 7 years with collection of 6-month follow-up data. A total of 2826 patients were enrolled into CCM with a clinical diagnosis of depression and a baseline Patient Health Questionnaire–9 (PHQ-9) ≥10 were included in the study cohort. Using the depression database, baseline and 6-month follow-up data were obtained. Adjusted odds ratios (AORs) were determined for both remission and persistent depressive symptoms using logistic regression modeling for the 6-month PHQ-9 outcome; while retaining all the study variables. Results: Of the 2826 CCM patients with depression in our study, 216 (7.6%) were found to have a PD. Patients with PD were younger (37.7 vs 42.5 years, P < .001) and more likely to be unmarried (36.1% vs 55.6%, P < .001) than patients without a PD. While age, marital status, clinical diagnosis, and Mood Disorders Questionnaire (MDQ) score were significant predictors of remission; anxiety symptoms, gender, and race were not. The presence of a PD diagnosis was associated with a 60% lower likelihood of remission at 6 months (AOR = 0.39; 95% CI 0.28-0.54). Conversely, patients without a PD were 2.5 times as likely to experience remission at 6-month remission compared to patients with PD (AOR =2.57; 95% CI 1.85-3.56). Conclusion: Patients with a personality disorder were more likely to have a recurrent depressive disorder diagnosis, an abnormal MDQ score, increased anxiety symptoms, and higher baseline PHQ-9 score. Patients with PD had worse CCM outcomes at 6 months with only 25.0% able to achieve remission versus 54.3% (P < .001) without a PD. The presence of a PD with depression was associated with poor outcomes (reduced remission rates and increased persistent depressive symptoms rates) in comparison to patients without a diagnosis of PD, while treated within CCM.
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Angstman KB, Meunier MR, Rohrer JE, Oberhelman SS, Maxson JA, Rahman PA. Future Complexity of Care Tier Affected by Depression Outcomes. J Prim Care Community Health 2014; 5:30-5. [DOI: 10.1177/2150131913511465] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Background: The inclusion of mental health issues in the evaluation of multimorbidity generally has been as the presence or absence of the condition rather than severity, complexity, or stage. The hypothesis for this study was that clinical outcome of the depression 6 months after enrollment into collaborative care management would have a role in predicting future complexity of care tier. Methods: This study was a retrospective chart review of 1894 primary care patients who were diagnosed with major depressive disorder or dysthymia as of December 2012. Multiple logistic regression analysis was used to test the independent associations between each variable and the odds of being included in the higher tiers (HT) group. Results: Age (odds ratio [OR] = 1.022, confidence interval [CI] = 1.013-1.030, P < .001), female gender (OR = 1.380, CI = 1.020-1.868, P = .037), being married (OR = 0.730, CI = 0.563-0.947, P = .018), and the presence of comorbidities (1, OR = 1.986, CI = 1.485-2.656, P < .001; ≥2, OR = 4.678, CI = 3.242-6.750, P < .001) were independently associated with future HT levels. The presence of persistent depressive symptoms (PHQ-9 ≥10) at 6 months conferred 2.280 (CI = 1.673-3.107, P < .001) times likely odds of HT level compared with clinical remission at 6 months. Conclusion: Patients with the diagnosis of major depression or dysthymia had greater odds of complex tier levels in the future, if depression was not treated to remission by 6 months. This study demonstrated the importance of the goal of significant improvement (ie, remission) of depression symptoms by 6 months (especially those older patients with more comorbidity) from entering into the higher complexity tiers.
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