scholarly journals Effectiveness of EHR-Depression Screening Among Adult Diabetics in an Urban Primary Care Clinic

2021 ◽  
Author(s):  
Filipina Schnabel ◽  
◽  
Danielle Aldridge
Keyword(s):  
Diabetes Mellitus ◽  
Quality Improvement ◽  
Depressive Disorders ◽  
Diabetes Management ◽  
Primary Care Clinic ◽  
Retrospective Chart Review ◽  
Mental Illnesses ◽  
Screening Tools ◽  
Depression Screening ◽  
Care Clinic

Background Diabetes mellitus (DM) and depression are important comorbid conditions that can lead to more serious health outcomes. The American Diabetes Association (ADA) supports routine screening for depression as part of standard diabetes management. The PHQ2 and PHQ9 questionnaires are good diagnostic screening tools used for major depressive disorders in Type 2 diabetes mellitus (DM2). This quality improvement study aims to compare the rate of depression screening, treatment, and referral to behavioral health in adult patients with DM2 pre and post-integration of depression screening tools into the electronic health record (EHR). Methods We conducted a retrospective chart review on patients aged 18 years and above with a diagnosis of DM2 and no initial diagnosis of depression or other mental illnesses. Chart reviews included those from 2018 or prior for before integration data and 2020 to present for after integration. Sixty subjects were randomly selected from a pool of 33,695 patients in the clinic with DM2 from the year 2013-2021. Thirty of the patients were prior to the integration of depression screening tools PHQ2 and PHQ9 into the EHR, while the other half were post-integration. The study population ranged from 18-83 years old. Results All subjects (100%) were screened using PHQ2 before integration and after integration. Twenty percent of patients screened had a positive PHQ2 among subjects before integration, while 10% had a positive PHQ2 after integration. Twenty percent of patients were screened with a PHQ9 pre-integration which accounted for 100% of those subjects with a positive PHQ2. However, of the 10% of patients with a positive PHQ2 post-integration, only 6.7 % of subjects were screened, which means not all patients with a positive PHQ2 were adequately screened post-integration. Interestingly, 10% of patients were treated with antidepressants before integration, while none were treated with medications in the post-integration group. There were no referrals made to the behavior team in either group. Conclusion There is no difference between the prevalence of depression screening before or after integration of depression screening tools in the EHR. The study noted that there is a decrease in the treatment using antidepressants after integration. However, other undetermined conditions could have influenced this. Furthermore, not all patients with positive PHQ2 in the after-integration group were screened with PHQ9. The authors are unsure if the integration of the depression screens influenced this change. In both groups, there is no difference between referrals to the behavior team. Implications to Nursing Practice This quality improvement study shows that providers are good at screening their DM2 patients for depression whether the screening tools were incorporated in the EHR or not. However, future studies regarding providers, support staff, and patient convenience relating to accessibility and availability of the tool should be made. Additional issues to consider are documentation reliability, hours of work to scan documents in the chart, risk of documentation getting lost, and the use of paper that requires shredding to comply with privacy.

Improved Control of Type 2 Diabetes Mellitus: A Practical Education/Behavior Modification Program in a Primary Care Clinic

1999 ◽  
Vol 92 (7) ◽  
pp. 667-672 ◽  
Author(s):  
NATHAN A. RIDGEWAY ◽  
DONALD R. HARVILL ◽  
LEO M. HARVILL ◽  
THELMA M. FALIN ◽  
GAYLE M. FORESTER ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Primary Care ◽  
Type 2 Diabetes Mellitus ◽  
Behavior Modification ◽  
Primary Care Clinic ◽  
Care Clinic ◽  
Practical Education

Prevalence of advance care planning in a resident run clinic in an underserved community.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e24067-e24067
Author(s):  
Swetha Ann Alexander ◽  
Vinay Mathew Thomas ◽  
David Wu ◽  
Radhika Kulkarni ◽  
William Rabitaille
Keyword(s):  
Primary Care ◽  
African American ◽  
Advance Care Planning ◽  
Primary Care Clinic ◽  
Retrospective Chart Review ◽  
Care Planning ◽  
Care Clinic ◽  
Underserved Community ◽  
Advance Care ◽  
End Stage

e24067 Background: Advance Care Planning (ACP) ensures that patients receive care that is in line with their values and preferences. ACP is best done in the outpatient setting. Despite recognizing the importance of ACP, the rates of ACP completion continue to be low. We conducted a retrospective study to determine the rates of ACP in a resident run primary care clinic in Hartford, Connecticut, which serves the underserved community. We looked at patient characteristics to find correlation with ACP completion. We also aimed to determine the reasons which could decrease the completion of ACP. Methods: This was a retrospective chart review. Patients who met any of the inclusion criteria [i) Age>65 ii) End stage renal disease on dialysis iii) Metastatic/Recurrent cancer iv) End stage heart failure v) COPD Gold stage D] and were seen in the primary care clinic from September 1, 2019 to December 31, 2019 were selected. Their charts were reviewed to see if ACP was documented during primary care visits over the past two years. The demographics of the patients were noted. Subsequently, a survey was distributed to residents to determine the possible causes of low rates of ACP discussion. Results: The characteristics of the 373 patients included in the study are shown in Table 1. Only 14 (3.8%) of the 373 had documentation of ACP during their primary care visits. The characteristics of the 14 patients in whom ACP was done are as follows: Sex- Female 9/14 (64%); Ethnicity- Hispanic 10/14 (71%), African American 4/14 (29%); Religious Affiliation- Christian 13/14 (93%), None 1/14 (7%); Married/Partner 2/14 (14%). Patient demographics including sex (p 0.6), religious beliefs (p 0.8), and marital status (p 0.6) did not show any correlation with the likelihood of ACP completion. Of the 31 residents who answered the survey, the most commonly listed barriers to ACP completion were the following: lack of time to conduct these discussions (94%), forgetting to conduct ACP discussions (48%), and lack of training (19%). All the residents believed that ACP discussion was beneficial to patients and medical providers. Conclusions: The rates of ACP planning in our clinic are much lower than the national average. African American and Hispanics, who make up the majority of our clinic population, traditionally have had low rates of ACP completion. This is an important issue that needs to be addressed. Advance care planning training should be also be strengthened during residency. [Table: see text]

scholarly journals Continuity Clinic Practice Feedback Curriculum for Residents: A Model for Ambulatory Education

2019 ◽  
Vol 11 (2) ◽  
pp. 189-195 ◽  
Author(s):  
Christine Haynes ◽  
Myrt Yamamoto ◽  
Cody Dashiell-Earp ◽  
Delani Gunawardena ◽  
Reshma Gupta ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Primary Care Clinic ◽  
Unmet Need ◽  
Performance Data ◽  
Resident Attitudes ◽  
Care Clinic ◽  
Level Data ◽  
Practice Performance ◽  
Clinic Practice ◽  
Feedback Data

ABSTRACT Background  There is an unmet need for formal curricula to deliver practice feedback training to residents. Objective  We developed a curriculum to help residents receive and interpret individual practice feedback data and to engage them in quality improvement efforts. Methods  We created a framework based on resident attribution, effective metric selection, faculty coaching, peer and site comparisons, and resident-driven goals. The curriculum used electronic health record–generated resident-level data and disease-specific ambulatory didactics to help motivate quality improvement efforts. It was rolled out to 144 internal medicine residents practicing at 1 of 4 primary care clinic sites from July 2016 to June 2017. Resident attitudes and behaviors were tracked with presurveys and postsurveys, completed by 126 (88%) and 85 (59%) residents, respectively. Data log-ins and completion of educational activities were monitored. Group-level performance data were tracked using run charts. Results  Survey results demonstrated significant improvements on a 5-point Likert scale in residents' self-reported ability to receive (from a mean of 2.0 to 3.3, P < .001) and to interpret and understand (mean of 2.4 to 3.2, P < .001) their practice performance data. There was also an increased likelihood they would report that their practice had seen improvements in patient care (13% versus 35%, P < .001). Run charts demonstrated no change in patient outcome metrics. Conclusions  A learner-centered longitudinal curriculum on ambulatory patient panels can help residents develop competency in receiving, interpreting, and effectively applying individualized practice performance data.

Su1604 QUALITY IMPROVEMENT CAMPAIGN LEAD TO HIGHER SURVEILLANCE RATE FOR HEPATOCELLULAR CARCINOMA IN PRIMARY CARE CLINIC

2020 ◽  
Vol 158 (6) ◽  
pp. S-1353-S-1354
Author(s):  
Kanit Bunnag ◽  
Amarat Kongsompong ◽  
Wit Jeamwijitkul ◽  
Worayon Chuerboonchai ◽  
Chutatip Charoenthanawut ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Primary Care ◽  
Quality Improvement ◽  
Primary Care Clinic ◽  
Care Clinic

scholarly journals MON-LB301 Application of Lean Six-Sigma DMAIC Tool for Improvement and Sustainability of Diabetes Management in Outpatient Clinics

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Mario C Rivera Bernuy ◽  
Kollipara Usha ◽  
Jessica Burks ◽  
Jason Fish ◽  
Sadia Ali
Keyword(s):  
Diabetes Mellitus ◽  
Quality Improvement ◽  
Six Sigma ◽  
Diabetes Management ◽  
Waiting Times ◽  
Lean Six Sigma ◽  
Control Phase ◽  
Modifiable Factors ◽  
Patients With Diabetes ◽  
The Mean

Abstract DMAIC: Define, Measure, Analyze, Improve, Control. LSL: Lower specified limit. USL: Upper specified limit. Lean Six Sigma DMAIC is quality improvement methodology used for strategic business management. Frequent applications of this methodology in healthcare include improvement of patient satisfaction, reduction of emergency department waiting times, prescription error reduction and monetary recovery by reducing waste. Patients with a HgbA1c testing frequency of >6 months have poorer glycemic control. The American Diabetes Association recommends HgbA1c test quarterly in patients whose therapy has changed or who are not meeting glycemic goals and at least two times a year in patients who are meeting treatment goals. We hypothesized that the Lean Six-Sigma DMAIC tools can be used in the outpatient clinic setting to improve frequency of HgbA1c testing in patients with diabetes mellitus. At baseline, 19% of our patients with diabetes mellitus had HgbA1c tested infrequently, defined as more than 6 months. This high percentage is a concern as it could lead to poor diabetes control. The aim was to increase percentage of patients having an HgbA1c tested between 3 to 6 months before an appointment in our clinic, to a goal of 90%. Target population included all patients with diabetes mellitus seen in outpatient endocrinology clinic. A baseline analysis of existing processes was done through brainstorming with the clinic staff using a fish bone diagram. Lack of follow up and HgbA1c testing orders were some of the modifiable factors identified. The new processes implemented include nurse driven standing medical orders for HgbA1c testing and pre-visit planning. Control phase included regular audits to sustain the improvements. The percentage of patients with a HgbA1c testing within 3-6 months of appointment improved from a baseline of 76.7% (LSL:70%, USL:94%) to 92.2% (LSL:88%, USL:93.7%). The improvement was noticeable within 1 month of new process implementation and continues to sustain. The mean had an absolute improvement of 15.5%. The variation from the mean decreased from 25% at baseline to 6% at the end of the control phase. The reduction in variation made our future results more predictable. The use of Lean Six-Sigma DMAIC quality improvement tools are an effective method to improve quality of care in the outpatient setting. These strategies can be replicated for other clinical quality outcomes.

Synchronizing advance directives among patients across a health system.

2020 ◽  
Vol 38 (29_suppl) ◽  
pp. 233-233
Author(s):  
Sherri Rauenzahn Cervantez ◽  
Sadiyah Hotakey ◽  
Amanda Hernandez ◽  
Stephanie Warren ◽  
Jennifer Quintero ◽  
...  
Keyword(s):  
Primary Care ◽  
Quality Improvement ◽  
Health System ◽  
Advance Care Planning ◽  
Primary Care Clinic ◽  
Care Planning ◽  
Care Clinic ◽  
Care Plans ◽  
Palliative Oncology ◽  
Advance Care

233 Background: Advance directives (ADs) are legal tools that direct treatment or decision making and appoint a surrogate decision-maker (health care proxy). The presence of ADs is associated with decreased rates of hospitalization, use of life-sustaining treatment, and deaths in a hospital setting. Additionally, completed ADs lead to increased use of hospice or palliative care, more positive family outcomes, improved quality of life for patients, and reduced costs for healthcare. Despite the benefits of advance care planning, only 18-36% of adults have completed advance care plans. The aims of our pilot study were to 1) implement a synchronized system for advance care planning across the UT Health San Antonio health system and 2) improve advance care planning rates in a primary care clinic and palliative oncology clinic. Methods: During a 10-month prospective period, system processes for advance care planning were reviewed with identification of three primary drivers for advance care plan completion: a) electronic/EMR processes, b) clinical workflows and training, and c) patient resources and education. As a result of this quality improvement initiative, standardized forms, resources, and processes for obtaining advance care plans were implemented in the selected clinics. Results: At baseline, the primary care clinic had 84/644 (13%) patients and the palliative oncology clinic had 25/336(7%) with completed advance care plans. With the implementation of a standardized process, 108 patients (23% increase in rate of completion) in the primary clinic and 56 patients (71% increase in rate of completion) in the palliative oncology setting completed advance care planning (ACP). Additionally, there was a 5-fold increase in billing of ACP CPT codes within the clinics during the first 6 months compared to the prior full year. Conclusions: While this quality improvement pilot initiative was limited to two clinics, the synchronized modifications suggest that the system changes could be expanded to other clinics in our UT health system to promote ACP discussions, completion of plans, and ultimately improved patient care.

scholarly journals Factors influencing insulin acceptance among type 2 diabetes mellitus patients in a primary care clinic: a qualitative exploration

2013 ◽  
Vol 14 (1) ◽  
Author(s):  
Hasliza Abu Hassan ◽  
Hizlinda Tohid ◽  
Rahmah Mohd Amin ◽  
Mohamed Badrulnizam Long Bidin ◽  
Leelavathi Muthupalaniappen ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Primary Care ◽  
Type 2 Diabetes Mellitus ◽  
Primary Care Clinic ◽  
Care Clinic ◽  
Factors Influencing ◽  
Qualitative Exploration

scholarly journals Effect of a Mobile Phone–Based Glucose-Monitoring and Feedback System for Type 2 Diabetes Management in Multiple Primary Care Clinic Settings: Cluster Randomized Controlled Trial

10.2196/16266 ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. e16266 ◽  
Author(s):  
Yeoree Yang ◽  
Eun Young Lee ◽  
Hun-Sung Kim ◽  
Seung-Hwan Lee ◽  
Kun-Ho Yoon ◽  
...  
Keyword(s):  
Primary Care ◽  
Mobile Phone ◽  
Diabetes Management ◽  
Primary Care Clinic ◽  
Intervention Group ◽  
Glucose Monitoring ◽  
Feedback System ◽  
Control Group ◽  
Care Clinic ◽  
Cluster Randomized

Background Recent evidence of the effectiveness of mobile phone–based diabetes management systems is generally based on studies conducted in tertiary hospitals or professional diabetes clinics. Objective This study aimed to evaluate the clinical efficacy and applicability of a mobile phone–based glucose-monitoring and feedback system for the management of type 2 diabetes mellitus (T2DM) in multiple primary care clinic settings. Methods In this multicenter, cluster-randomized controlled, open trial, 13 primary care clinics in Seoul and other large cities in South Korea were voluntarily recruited. Overall, 150 (9 clinics) and 97 (4 clinics) participants with T2DM were assigned to the intervention and control groups, respectively (2:1 allocation). Every month, participants in both groups attended face-to-face physicians’ consultation for the management of diabetes in the clinic. For the intervention group, participants were required to upload their daily self-monitoring of blood glucose (SMBG) results using the mobile phone app in addition to outpatient care for 3 months. The results were automatically transmitted to the main server. Physicians had to check their patients’ SMBG results through an administrator’s website and send a short feedback message at least once a week. At baseline and 3 months, both groups had anthropometry and blood tests, including hemoglobin A1c (HbA1c), and responded to questionnaires about treatment satisfaction and compliance. Results At 3 months, participants in the intervention group showed significantly more improvement in HbA1c (adjusted mean difference to control −0.30%, 95% CI −0.50 to −0.11; P=.003) and fasting plasma glucose (−17.29 mg/dL, 95% CI −29.33 to −5.26; P=.005) than those in the control group. In addition, there was significantly more reduction in blood pressure, and the score regarding treatment satisfaction and motivation for medication adherence increased more in the intervention group than in the control group. In the subgroup analyses, the effect on glycemic control was more significant among younger patients and higher baseline HbA1c levels. Conclusions The mobile phone–based glucose-monitoring and feedback system was effective in glycemic control when applied in primary care clinic settings. This system could be utilized effectively with diverse institutions and patients. Trial Registration Clinical Research Information Service (CRIS) https://tinyurl.com/tgqawbz

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