scholarly journals Primary care in the time of COVID-19: monitoring the effect of the pandemic and the lockdown measures on 34 quality of care indicators calculated for 288 primary care practices covering about 6 million people in Catalonia

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Ermengol Coma ◽  
Núria Mora ◽  
Leonardo Méndez ◽  
Mència Benítez ◽  
Eduardo Hermosilla ◽  
...  
Keyword(s):  
Primary Care ◽  
Positive Change ◽  
Paired Data ◽  
Negative Change ◽  
Negative Effect ◽  
Care Practices ◽  
Primary Care Practices ◽  
The Impact ◽  
Quaternary Prevention

Abstract Background To analyse the impact of the COVID-19 epidemic and the lockdown measures on the follow-up and control of chronic diseases in primary care. Methods Retrospective study in 288 primary care practices (PCP) of the Catalan Institute of Health. We analysed the results of 34 indicators of the Healthcare quality standard (EQA), comprising different types: treatment (4), follow-up (5), control (10), screening (7), vaccinations (4) and quaternary prevention (4). For each PCP, we calculated each indicator’s percentage of change in February, March and April 2020 respective to the results of the previous month; and used the T-Student test for paired data to compare them with the percentage of change in the same month of the previous year. We defined indicators with a negative effect those with a greater negative change or a lesser positive change in 2020 in comparison to 2019; and indicators with a positive effect those with a greater positive change or a lesser negative change. Results We observed a negative effect on 85% of the EQA indicators in March and 68% in April. 90% of the control indicators had a negative effect, highlighting the control of LDL cholesterol with a reduction of − 2.69% (95%CI − 3.17% to − 2.23%) in March and − 3.41% (95%CI − 3.82% to − 3.01%) in April; and the control of blood pressure with a reduction of − 2.13% (95%CI − 2.34% to − 1.9%) and − 2.59% (95%CI − 2.8% to − 2.37%). The indicators with the greatest negative effect were those of screening, such as the indicator of diabetic foot screening with a negative effect of − 2.86% (95%CI − 3.33% to − 2.39%) and − 4.13% (95%CI − 4.55% to − 3.71%) in March and April, respectively. Only one vaccination indicator, adult Measles-Mumps-Rubella vaccine, had a negative effect in both months. Finally, among the indicators of quaternary prevention, we observed negative effects in March and April although in that case a lower inadequacy that means better clinical outcome. Conclusions The COVID-19 epidemic and the lockdown measures have significantly reduced the results of the follow-up, control, screening and vaccination indicators for patients in primary care. On the other hand, the indicators for quaternary prevention have been strengthened and their results have improved.

scholarly journals Depression risk in patients with heart failure in primary care practices in Germany

2016 ◽  
Vol 28 (11) ◽  
pp. 1889-1894
Author(s):  
Marcel Konrad ◽  
Jens Bohlken ◽  
Michael A Rapp ◽  
Karel Kostev
Keyword(s):  
Heart Failure ◽  
Primary Care ◽  
Health Insurance ◽  
Control Group ◽  
Patients With Heart Failure ◽  
Study Population ◽  
Care Practices ◽  
One Year ◽  
Primary Care Practices

ABSTRACTBackground:The goal of this study was to estimate the prevalence of and risk factors for diagnosed depression in heart failure (HF) patients in German primary care practices.Methods:This study was a retrospective database analysis in Germany utilizing the Disease Analyzer® Database (IMS Health, Germany). The study population included 132,994 patients between 40 and 90 years of age from 1,072 primary care practices. The observation period was between 2004 and 2013. Follow-up lasted up to five years and ended in April 2015. A total of 66,497 HF patients were selected after applying exclusion criteria. The same number of 66,497 controls were chosen and were matched (1:1) to HF patients on the basis of age, sex, health insurance, depression diagnosis in the past, and follow-up duration after index date.Results:HF was a strong risk factor for diagnosed depression (p < 0.0001). A total of 10.5% of HF patients and 6.3% of matched controls developed depression after one year of follow-up (p < 0.001). Depression was documented in 28.9% of the HF group and 18.2% of the control group after the five-year follow-up (p < 0.001). Cancer, dementia, osteoporosis, stroke, and osteoarthritis were associated with a higher risk of developing depression. Male gender and private health insurance were associated with lower risk of depression.Conclusions:The risk of diagnosed depression is significantly increased in patients with HF compared to patients without HF in primary care practices in Germany.

Vaccine Hesitancy in Pediatric Primary Care Practices

2018 ◽  
Vol 28 (13) ◽  
pp. 2071-2080 ◽  
Author(s):  
Salini Mohanty ◽  
Amy Carroll-Scott ◽  
Marissa Wheeler ◽  
Cecilia Davis-Hayes ◽  
Renee Turchi ◽  
...  
Keyword(s):  
Primary Care ◽  
Vaccine Hesitancy ◽  
Structured Interviews ◽  
Vaccine Acceptance ◽  
Multiple Strategies ◽  
Efficiency And Effectiveness ◽  
Care Practices ◽  
Barriers And Challenges ◽  
Primary Care Practices

Understanding how pediatric practices handle parental vaccine hesitancy is important as it impacts the efficiency and effectiveness of pediatric practices. In total, 21 semi-structured interviews with pediatric practice staff within a primary care network were conducted between May 2012 and March 2013. Thematic analysis focused on the barriers and challenges of vaccine hesitancy and strategies to reduce the burden at the practice level. Barriers and challenges of vaccine hesitancy included time constraints, administrative challenges, financial challenges and strained patient-provider relationships. Strategies to minimize the burden of vaccine hesitancy included training for vaccine counseling, screening for vaccine hesitancy prior to immunization visits, tailored vaccine counseling, and primary care provider visits for follow-up immunization. Pediatric practices reported many challenges when caring for vaccine-hesitant families. Multiple strategies were identified to reduce the burden of vaccine hesitancy, which future studies should explore to determine how effective they are in increasing vaccine acceptance in pediatric practices.

scholarly journals Geriatric Resource Teams: Equipping Primary Care Practices to Meet the Complex Care Needs of Older Adults

Geriatrics ◽  
2019 ◽  
Vol 4 (4) ◽  
pp. 59 ◽  
Author(s):  
Gwendolen Buhr ◽  
Carrissa Dixon ◽  
Jan Dillard ◽  
Elissa Nickolopoulos ◽  
Lynn Bowlby ◽  
...  
Keyword(s):  
Older Adults ◽  
Primary Care ◽  
Cognitive Impairment ◽  
Assessment Process ◽  
Complex Care ◽  
Care Needs ◽  
Care Practices ◽  
Primary Care Practices ◽  
Complex Care Needs ◽  
The Impact

Primary care practices lack the time, expertise, and resources to perform traditional comprehensive geriatric assessment. In particular, they need methods to improve their capacity to identify and care for older adults with complex care needs, such as cognitive impairment. As the US population ages, discovering strategies to address these complex care needs within primary care are urgently needed. This article describes the development of an innovative, team-based model to improve the diagnosis and care of older adults with cognitive impairment in primary care practices. This model was developed through a mentoring process from a team with expertise in geriatrics and quality improvement. Refinement of the existing assessment process performed during routine care allowed patients with cognitive impairment to be identified. The practice team then used a collaborative workflow to connect patients with appropriate community resources. Utilization of these processes led to reduced referrals to the geriatrics specialty clinic, fewer patients presenting in a crisis to the social worker, and greater collaboration and self-efficacy for care of those with cognitive impairment within the practice. Although the model was initially developed to address cognitive impairment, the impact has been applied more broadly to improve the care of older adults with multimorbidity.

scholarly journals The Impact of a Mobile Diabetes Health Intervention on Diabetes Distress and Depression Among Adults: Secondary Analysis of a Cluster Randomized Controlled Trial (Preprint)

2017 ◽  
Author(s):  
Charlene C Quinn ◽  
Krystal K Swasey ◽  
J Christopher F Crabbe ◽  
Michelle D Shardell ◽  
Michael L Terrin ◽  
...  
Keyword(s):  
Primary Care ◽  
Well Being ◽  
Diabetes Distress ◽  
Emotional Burden ◽  
Interpersonal Distress ◽  
Care Practices ◽  
Cluster Randomized ◽  
Primary Care Practices ◽  
The Impact ◽  
Over Time

BACKGROUND Diabetes is a complex, demanding disease that requires the constant attention of patients. The burden of self-management, including different medication regimens, routine self-care activities, and provider visits, has an impact on patients’ emotional well-being. Diabetes distress and depression are two important components of emotional well-being that may negatively affect diabetes outcomes. OBJECTIVE The aim was to determine the impact of the 1-year Mobile Diabetes Intervention Study cluster randomized clinical trial on emotional well-being measured by diabetes distress and depression among adults with type 2 diabetes (T2D). METHODS A total of 163 adults with not-well-managed T2D were enrolled from community primary care practices. Primary care practices were cluster randomized into either a usual care control group or intervention group. Intervention participants were given a mobile phone with coaching software including a Web portal to communicate with providers. A priori established secondary outcomes included distress measured by the Diabetes Distress Scale (DDS), with subscales measuring emotional burden, interpersonal distress, physician-related distress, and regimen-related distress, as well as depression measured by the Patient Health Questionnaire (PHQ-9). Linear mixed models were used to calculate the effect of the intervention on diabetes distress levels over time, both overall and separately by sex, and to determine if the intervention affected distress or depression. The impact of total DDS on changes in HbA1c was also studied. RESULTS There were no significant treatment group effects for DDS total (baseline: P=.07; differences over time: P=.38) or for depression (P=.06 over time). Significant declines in total DDS were observed over the 12-month intervention period (P=.01). Regimen-related distress significantly decreased for all study participants (P<.001), but no significant change over time was observed for emotional burden (P=.83), interpersonal distress (P=.64), or physician-related distress (P=.73). Women in both the usual care and intervention groups were more likely to have higher overall DDS, emotional burden, physician-related distress, and regimen-related distress, but not interpersonal distress. Women also reported higher baseline depression compared to men (P=.006). Overall, depression decreased over the treatment period (P=.007), but remained unaffected by group assignment (P=.06) or by sex (P=.97). Diabetes distress had no effect on the change in HbA1c (P=.91) over the treatment period. CONCLUSIONS Although we found no definitive overall or sex-specific effect of the intervention on diabetes distress or depression, this study makes an important contribution to the understanding of mobile health interventions and the impact on emotional health. Our study verified previous work that although diabetes distress and depression are highly correlated, these measures are not evaluating the same construct. Design of future mobile technology provides an opportunity to personalize, contextualize, and intervene in the emotional well-being of persons with diabetes. CLINICALTRIAL Clinicaltrials.gov NCT01107015; https://clinicaltrials.gov/ct2/show/NCT01107015 (Archived by WebCite at http://www.webcitation.org/6vVgRCLAF)

scholarly journals The Bone Health Team: A Team-Based Approach to Improving Osteoporosis Care for Primary Care Patients

2017 ◽  
Vol 8 (3) ◽  
pp. 135-140 ◽  
Author(s):  
Phillip T. Lawrence ◽  
Marissa P. Grotzke ◽  
Yanina Rosenblum ◽  
Richard E. Nelson ◽  
Joanne LaFleur ◽  
...  
Keyword(s):  
Primary Care ◽  
Vitamin D ◽  
Outcome Measures ◽  
Bone Health ◽  
Historical Cohort ◽  
Diagnosis Of Osteoporosis ◽  
Health Team ◽  
Care Practices ◽  
Primary Care Practices ◽  
The Impact

Background: Significant improvements in secondary prevention of osteoporotic fractures have been noted with fracture liaison services. However, similar models for the primary prevention of such fractures have not been reported. Objective: To determine the impact of a Bone Health Team (BHT) on osteoporosis screening and treatment rates in U.S. veterans in primary care practices. Design: Historical cohort study of a primary care–based intervention of a BHT from February 2013 to February 2015. Setting: Community-based outpatient clinics of the Salt Lake City Veterans Affairs Health Care System. Participants: Men aged 70 years and older and women aged 65 years and older. Intervention: Enrollment in the BHT. Measurements: Rates of dual energy x-ray absorptiometry (DXA) completion, chart diagnosis of osteoporosis or osteopenia, completion of vitamin D measurement, and initiation of fracture reducing medication. Results: Our cohort consisted of 7644 individuals, 975 of whom were exposed to the BHT and 6669 of whom were not. Comparison of patients exposed to the BHT versus non-exposed subjects demonstrated a substantial increase in all outcome measures studied. Hazard ratios (HRs) from multivariable cox proportional hazard models were: measurement of vitamin D, HR = 1.619 ( P < .001); chart diagnosis of osteopenia, HR = 37.00 ( P < .001); chart diagnosis of osteoporosis, HR = 16.38 ( P < .001); osteoporosis medication, HR = 17.03 ( P < .001); and completion of DXA, HR = 139.9 ( P < .001). Conclusions and Relevance: The implementation of a dedicated BHT produced significantly increased rates of intermediate osteoporosis outcome measures in US veterans in primary care practices. Additional research describing medication adherence rates and cost-effectiveness is forthcoming.

scholarly journals Does practice characteristics explain the impact of a financial incentive on antibiotic prescribing?

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
P Anyanwu ◽  
C Costelloe
Keyword(s):  
Primary Care ◽  
Financial Incentive ◽  
Antibiotic Prescribing ◽  
Incentive Scheme ◽  
Practice Characteristics ◽  
Care Practices ◽  
Primary Care Practices ◽  
The Impact ◽  
Specific Health

Abstract Background About 80% of the antibiotics prescribed in England are from primary care practices. The Quality Premium (QP) initiative that offers financial rewards on the quality of specific health services commissioned is one of the NHS England interventions to reduce antimicrobial resistance through reduced prescribing. Evaluations of the initiative suggest a reduction in antibiotic prescribing in primary care. We investigated whether the effect of this financial incentive on antibiotic prescribing is explained by variations in practice characteristics that can contribute to differences in antibiotic prescribing. Methods We used monthly prescribing data for 6,600 practices in England from NHS Digital for the year from April 2015 when antibiotic improvement was included as a QP priority and the preceding year. We fitted an initial linear generalised estimating equations model examining the effect of the incentive on antibiotic items/STAR-PU prescribed, adjusting for seasonality and number of months since implementation. We examined the consistency of the effect after the initial model was adjusted for variations in workforce, prevalence of co-morbidities (asthma, COPD, cancer, chronic kidney disease, diabetes), and deprivation index. Results Antibiotics prescribed in primary care practices in England reduced by 0.20 items/STAR-PU (95% CI:0.19-0.21) after the implementation of the initiative. This reduction flattened off in the following months with a month-on-month increase of 0.013 items (95% CI:0.012-0.013). After adjusting for practice characteristics, the immediate and month-on-month impacts remained consistent with slight attenuation of the immediate impact (0.18, 95% CI:0.17-0.18). Subgroup analyses showed the effect of the initiative was significantly more among 20% top prescribers. Conclusions Variations in practice characteristics are not a major explanation for the impact of the quality premium initiative on antibiotic prescribing in primary care practices in England. Key messages Our findings on the targeted impact of a financial incentive scheme to improve antibiotics prescribing on high prescribers are important to policymakers and antibiotic stewardship programs. Variations in practice characteristics are not a major explanation for the impact of a financial incentive scheme on antibiotics prescribing in primary care practices in England.

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