First name
Richard
Middle name
C
Last name
Wasserman

Title

Diagnosis and Medication Treatment of Pediatric Hypertension: A Retrospective Cohort Study.

Year of Publication

2016

Date Published

2016 Dec

ISSN Number

1098-4275

Abstract

<p><strong>BACKGROUND AND OBJECTIVES: </strong>Pediatric hypertension predisposes children to adult hypertension and early markers of cardiovascular disease. No large-scale studies have examined diagnosis and initial medication management of pediatric hypertension and prehypertension. The objective of this study was to evaluate diagnosis and initial medication management of pediatric hypertension and prehypertension in primary care.</p>

<p><strong>METHODS: </strong>Retrospective cohort study aggregating electronic health record data on &gt;1.2 million pediatric patients from 196 ambulatory clinics across 27 states. Demographic, diagnosis, blood pressure (BP), height, weight, and medication prescription data extracted. Main outcome measures include proportion of pediatric patients with ≥3 visits with abnormal BPs, documented hypertension and prehypertension diagnoses, and prescribed antihypertensive medications. Marginal standardization via logistic regression produced adjusted diagnosis rates.</p>

<p><strong>RESULTS: </strong>Three hundred ninety-eight thousand seventy-nine patients, ages 3 to 18, had ≥3 visits with BP measurements (48.9% girls, 58.6% &lt;10 years old). Of these, 3.3% met criteria for hypertension and 10.1% for prehypertension. Among practices with ≥50 eligible patients, 2813 of 12 138 patients with hypertension (23.2%; 95% confidence interval, 18.2%-28.2%) and 3990 of 38 874 prehypertensive patients (10.2%; 95% confidence interval, 8.2%-12.2%) were diagnosed. Age, weight, height, sex, and number and magnitude of abnormal BPs were associated with diagnosis rates. Of 2813 diagnosed, persistently hypertensive patients, 158 (5.6%) were prescribed antihypertensive medication within 12 months of diagnosis (angiotensin-converting enzyme inhibitors/angiotensin receptive blockers [35%], diuretics [22%], calcium channel blockers [17%], and β-blockers [10%]).</p>

<p><strong>CONCLUSIONS: </strong>Hypertension and prehypertension were infrequently diagnosed among pediatric patients. Guidelines for diagnosis and initial medication management of abnormal BP in pediatric patients are not routinely followed.</p>

DOI

10.1542/peds.2016-2195

Alternate Title

Pediatrics

PMID

27940711

Title

Preschool ADHD Diagnosis and Stimulant Use Before and After the 2011 AAP Practice Guideline.

Year of Publication

2016

Date Published

2016 Dec

ISSN Number

1098-4275

Abstract

<p><strong>OBJECTIVE: </strong>To evaluate the change in the diagnosis of attention-deficit/hyperactivity disorder (ADHD) and prescribing of stimulants to children 4 to 5 years old after release of the 2011 American Academy of Pediatrics guideline.</p>

<p><strong>METHODS: </strong>Electronic health record data were extracted from 63 primary care practices. We included preventive visits from children 48 to 72 months old receiving care from January 2008 to July 2014. We compared rates of ADHD diagnosis and stimulant prescribing before and after guideline release using logistic regression with a spline and clustering by practice. Patterns of change (increase, decrease, no change) were described for each practice.</p>

<p><strong>RESULTS: </strong>Among 87 067 children with 118 957 visits before the guideline and 56 814 with 92 601 visits after the guideline, children had an ADHD diagnosis at 0.7% (95% confidence interval [CI], 0.7% to 0.8%) of visits before and 0.9% (95% CI, 0.8% to 0.9%) after guideline release and had stimulant prescriptions at 0.4% (95% CI, 0.4% to 0.4%) of visits in both periods. A significantly increasing preguideline trend in ADHD diagnosis ended after guideline release. The rate of stimulant medication use remained constant before and after guideline release. Patterns of change from before to after the guideline varied significantly across practices.</p>

<p><strong>CONCLUSIONS: </strong>Release of the 2011 guideline that addressed ADHD in preschoolers was associated with the end of an increasing rate of diagnosis, and the rate of prescribing stimulants remained constant. These are reassuring results given that a standardized approach to diagnosis was recommended and stimulant treatment is not first-line therapy for this age group.</p>

DOI

10.1542/peds.2016-2025

Alternate Title

Pediatrics

PMID

27940706

Title

Variations in Mental Health Diagnosis and Prescribing Across Pediatric Primary Care Practices.

Year of Publication

2016

Date Published

2016 May

ISSN Number

1098-4275

Abstract

<p><strong>BACKGROUND: </strong>Primary care pediatricians increasingly care for children's mental health problems, but little is known about practice-level variation in diagnosis and psychotropic medication prescribing practices.</p>

<p><strong>METHODS: </strong>This retrospective review of electronic heath records from 43 US primary care practices included children aged 4 to 18 years with ≥1 office visit from January 1, 2009, to June 30, 2014. We examined variability in diagnosis and psychotropic prescribing across practices using logistic regression with practice fixed effects and evaluated associations of the availability of colocated or community-based mental health providers or the proportion of children in foster care with diagnosis and prescribing using generalized linear mixed models.</p>

<p><strong>RESULTS: </strong>Among 294 748 children, 40 932 (15%) received a mental health diagnosis and 39 695 (14%) were prescribed psychotropic medication. Attention deficit/hyperactivity disorder was most commonly diagnosed (1%-16% per practice). The proportion of children receiving any psychotropic medication (4%-26%) and the proportion receiving ≥2 medication classes (1%-12%) varied across practices. Prescribing of specific medication classes also varied (stimulants, 3%-18%; antidepressants, 1%-12%; α-agonists, 0%-8%; second-generation antipsychotics, 0%-5%). Variability was partially explained by community availability of psychiatrists (significantly higher odds of a diagnosis or prescription when not available) but not by colocation of mental health professionals or percentage of children in foster care.</p>

<p><strong>CONCLUSIONS: </strong>The prevalence of mental health diagnosis and psychotropic medication prescribing varies substantially across practices and is only partially explained by psychiatrist availability. Research is needed to better define the causes of variable practice-level diagnosis and prescribing and implications for child mental health outcomes.</p>

DOI

10.1542/peds.2015-2974

Alternate Title

Pediatrics

PMID

27244791

Title

Variation in Antibiotic Prescribing Across a Pediatric Primary Care Network.

Year of Publication

2015

Number of Pages

297-304

Date Published

2015 Dec

ISSN Number

2048-7207

Abstract

<p><strong>BACKGROUND: </strong>Outpatient respiratory tract infections are the most common reason for antibiotic prescribing to children. Although prior studies suggest that antibiotic overuse occurs, patient-specific data or data exploring the variability and determinants of variability across practices and practitioners is lacking.</p>

<p><strong>METHODS: </strong>This study was conducted from a retrospective cohort of encounters to 25 diverse pediatric practices with 222 clinicians, from January 1 to December 31, 2009. Diagnoses, medications, comorbid conditions, antibiotic allergy, and demographic data were obtained from a shared electronic health record and validated by manual review. Practice-specific antibiotic prescription and acute respiratory tract infection diagnosis rates were calculated to assess across-practice differences after adjusting for patient demographics and clustering of encounters within clinicians.</p>

<p><strong>RESULTS: </strong>A total of 102 102 (28%) of 399 793 acute visits by 208 015 patients resulted in antibiotic prescriptions. After adjusting for patient age, sex, race, and insurance type, and excluding encounters by patients with chronic conditions, antibiotic prescribing by practice ranged from 18% to 36% of acute visits, and the proportion of antibiotic prescriptions that were broad-spectrum ranged from 15% to 58% across practices, despite additional exclusion of patients with antibiotic allergies or prior antibiotic use. Diagnosis of (Dx) and broad-spectrum antibiotic prescribing (Broad) for acute otitis media (Dx: 8%-20%; Broad: 18%-60%), sinusitis (Dx: 0.5%-9%; Broad: 12%-78%), Streptococcal pharyngitis (Dx: 1.8%-6.4%; Broad: 2%-30%), and pneumonia (Dx: 0.4%-2%; Broad: 1%-70%) also varied by practice (P &lt; 0.001 for all comparisons).</p>

<p><strong>CONCLUSIONS: </strong>Antibiotic prescribing for common pediatric infections varied substantially across practices. This variability could not be explained by patient-specific factors. These data suggest the need for and provide high-impact targets for outpatient antimicrobial stewardship interventions.</p>

DOI

10.1093/jpids/piu086

Alternate Title

J Pediatric Infect Dis Soc

PMID

26582868

Title

Variability in the diagnosis and treatment of group a streptococcal pharyngitis by primary care pediatricians.

Year of Publication

2014

Number of Pages

S79-85

Date Published

2014 Oct

ISSN Number

1559-6834

Abstract

<p><strong>OBJECTIVE: </strong>To compare practice patterns regarding the diagnosis and management of streptococcal pharyngitis across pediatric primary care practices.</p>

<p><strong>DESIGN: </strong>Retrospective cohort study.</p>

<p><strong>SETTING: </strong>All encounters to 25 pediatric primary care practices sharing an electronic health record.</p>

<p><strong>METHODS: </strong>Streptococcal pharyngitis was defined by an International Classification of Diseases, Ninth Revision code for acute pharyngitis, positive laboratory test, antibiotic prescription, and absence of an alternative bacterial infection. Logistic regression models standardizing for patient-level characteristics were used to compare diagnosis, testing, and broad-spectrum antibiotic treatment for children with pharyngitis across practices. Fixed-effects models and likelihood ratio tests were conducted to analyze within-practice variation.</p>

<p><strong>RESULTS: </strong>Of 399,793 acute encounters in 1 calendar year, there were 52,658 diagnoses of acute pharyngitis, including 12,445 diagnoses of streptococcal pharyngitis. After excluding encounters by patients with chronic conditions and standardizing for age, sex, insurance type, and race, there was significant variability across and within practices in the diagnosis and testing for streptococcal pharyngitis. Excluding patients with antibiotic allergies or prior antibiotic use, off-guideline antibiotic prescribing for confirmed group A streptococcal pharyngitis ranged from 1% to 33% across practices (P &lt; .001). At the clinician level, 13 of 25 sites demonstrated significant within-practice variability in off-guideline antibiotic prescribing (P ≤ .05). Only 18 of the 222 clinicians in the network accounted for half of all off-guideline antibiotic prescribing.</p>

<p><strong>CONCLUSIONS: </strong>Significant variability in the diagnosis and treatment of pharyngitis exists across and within pediatric practices, which cannot be explained by relevant clinical or demographic factors. Our data support clinician-targeted interventions to improve adherence to prescribing guidelines for this common condition.</p>

DOI

10.1086/677820

Alternate Title

Infect Control Hosp Epidemiol

PMID

25222902

Title

Racial differences in antibiotic prescribing by primary care pediatricians.

Year of Publication

2013

Number of Pages

677-84

Date Published

2013 Apr

ISSN Number

1098-4275

Abstract

<p><strong>OBJECTIVE: </strong>To determine whether racial differences exist in antibiotic prescribing among children treated by the same clinician.</p>

<p><strong>METHODS: </strong>Retrospective cohort study of 1,296,517 encounters by 208,015 children to 222 clinicians in 25 practices in 2009. Clinical, antibiotic prescribing, and demographic data were obtained from a shared electronic health record. We estimated within-clinician associations between patient race (black versus nonblack) and (1) antibiotic prescribing or (2) acute respiratory tract infection diagnosis after adjusting for potential patient-level confounders.</p>

<p><strong>RESULTS: </strong>Black children were less likely to receive an antibiotic prescription from the same clinician per acute visit (23.5% vs 29.0%, odds ratio [OR] 0.75; 95% confidence interval [CI]: 0.72-0.77) or per population (0.43 vs 0.67 prescriptions/child/year, incidence rate ratio 0.64; 95% CI 0.63-0.66), despite adjustment for age, gender, comorbid conditions, insurance, and stratification by practice. Black children were also less likely to receive diagnoses that justified antibiotic treatment, including acute otitis media (8.7% vs 10.7%, OR 0.79; 95% CI 0.75-0.82), acute sinusitis (3.6% vs 4.4%, OR 0.79; 95% CI 0.73-0.86), and group A streptococcal pharyngitis (2.3% vs 3.7%, OR 0.60; 95% CI 0.55-0.66). When an antibiotic was prescribed, black children were less likely to receive broad-spectrum antibiotics at any visit (34.0% vs 36.9%, OR 0.88; 95% CI 0.82-0.93) and for acute otitis media (31.7% vs 37.8%, OR 0.75; 95% CI 0.68-0.83).</p>

<p><strong>CONCLUSIONS: </strong>When treated by the same clinician, black children received fewer antibiotic prescriptions, fewer acute respiratory tract infection diagnoses, and a lower proportion of broad-spectrum antibiotic prescriptions than nonblack children. Reasons for these differences warrant further study.</p>

DOI

10.1542/peds.2012-2500

Alternate Title

Pediatrics

PMID

23509168

Title

Effectiveness of decision support for families, clinicians, or both on HPV vaccine receipt.

Year of Publication

2013

Number of Pages

1114-24

Date Published

2013 Jun

ISSN Number

1098-4275

Abstract

<p><strong>OBJECTIVE: </strong>To improve human papillomavirus (HPV) vaccination rates, we studied the effectiveness of targeting automated decision support to families, clinicians, or both.</p>

<p><strong>METHODS: </strong>Twenty-two primary care practices were cluster-randomized to receive a 3-part clinician-focused intervention (education, electronic health record-based alerts, and audit and feedback) or none. Overall, 22, 486 girls aged 11 to 17 years due for HPV vaccine dose 1, 2, or 3 were randomly assigned within each practice to receive family-focused decision support with educational telephone calls. Randomization established 4 groups: family-focused, clinician-focused, combined, and no intervention. We measured decision support effectiveness by final vaccination rates and time to vaccine receipt, standardized for covariates and limited to those having received the previous dose for HPV #2 and 3. The 1-year study began in May 2010.</p>

<p><strong>RESULTS: </strong>Final vaccination rates for HPV #1, 2, and 3 were 16%, 65%, and 63% among controls. The combined intervention increased vaccination rates by 9, 8, and 13 percentage points, respectively. The control group achieved 15% vaccination for HPV #1 and 50% vaccination for HPV #2 and 3 after 318, 178, and 215 days. The combined intervention significantly accelerated vaccination by 151, 68, and 93 days. The clinician-focused intervention was more effective than the family-focused intervention for HPV #1, but less effective for HPV #2 and 3.</p>

<p><strong>CONCLUSIONS: </strong>A clinician-focused intervention was most effective for initiating the HPV vaccination series, whereas a family-focused intervention promoted completion. Decision support directed at both clinicians and families most effectively promotes HPV vaccine series receipt.</p>

DOI

10.1542/peds.2012-3122

Alternate Title

Pediatrics

PMID

23650297

Title

Effect of an outpatient antimicrobial stewardship intervention on broad-spectrum antibiotic prescribing by primary care pediatricians: a randomized trial.

Year of Publication

2013

Number of Pages

2345-52

Date Published

2013 Jun 12

ISSN Number

1538-3598

Abstract

<p><strong>IMPORTANCE: </strong>Antimicrobial stewardship programs have been effective for inpatients, often through prescribing audit and feedback. However, most antimicrobial use occurs in outpatients with acute respiratory tract infections (ARTIs).</p>

<p><strong>OBJECTIVE: </strong>To evaluate the effect of an antimicrobial stewardship intervention on antibiotic prescribing for pediatric outpatients.</p>

<p><strong>DESIGN: </strong>Cluster randomized trial of outpatient antimicrobial stewardship comparing prescribing between intervention and control practices using a common electronic health record. After excluding children with chronic medical conditions, antibiotic allergies, and prior antibiotic use, we estimated prescribing rates for targeted ARTIs standardized for age, sex, race, and insurance from 20 months before the intervention to 12 months afterward (October 2008-June 2011).</p>

<p><strong>SETTING AND PARTICIPANTS: </strong>A network of 25 pediatric primary care practices in Pennsylvania and New Jersey; 18 practices (162 clinicians) participated.</p>

<p><strong>INTERVENTIONS: </strong>One 1-hour on-site clinician education session (June 2010) followed by 1 year of personalized, quarterly audit and feedback of prescribing for bacterial and viral ARTIs or usual practice.</p>

<p><strong>MAIN OUTCOMES AND MEASURES: </strong>Rates of broad-spectrum (off-guideline) antibiotic prescribing for bacterial ARTIs and antibiotics for viral ARTIs for 1 year after the intervention.</p>

<p><strong>RESULTS: </strong>Broad-spectrum antibiotic prescribing decreased from 26.8% to 14.3% (absolute difference, 12.5%) among intervention practices vs from 28.4% to 22.6% (absolute difference, 5.8%) in controls (difference of differences [DOD], 6.7%; P = .01 for differences in trajectories). Off-guideline prescribing for children with pneumonia decreased from 15.7% to 4.2% among intervention practices compared with 17.1% to 16.3% in controls (DOD, 10.7%; P &lt; .001) and for acute sinusitis from 38.9% to 18.8% in intervention practices and from 40.0% to 33.9% in controls (DOD, 14.0%; P = .12). Off-guideline prescribing was uncommon at baseline and changed little for streptococcal pharyngitis (intervention, from 4.4% to 3.4%; control, from 5.6% to 3.5%; DOD, -1.1%; P = .82) and for viral infections (intervention, from 7.9% to 7.7%; control, from 6.4% to 4.5%; DOD, -1.7%; P = .93).</p>

<p><strong>CONCLUSIONS AND RELEVANCE: </strong>In this large pediatric primary care network, clinician education coupled with audit and feedback, compared with usual practice, improved adherence to prescribing guidelines for common bacterial ARTIs, and the intervention did not affect antibiotic prescribing for viral infections. Future studies should examine the drivers of these effects, as well as the generalizability, sustainability, and clinical outcomes of outpatient antimicrobial stewardship.</p>

<p><strong>TRIAL REGISTRATION: </strong>clinicaltrials.gov Identifier: NCT01806103.</p>

DOI

10.1001/jama.2013.6287

Alternate Title

JAMA

PMID

23757082

Title

Imputing Missing Race/Ethnicity in Pediatric Electronic Health Records: Reducing Bias with Use of U.S. Census Location and Surname Data.

Year of Publication

2015

Number of Pages

946-60

Date Published

08/2015

ISSN Number

1475-6773

Abstract

<p><strong>OBJECTIVE: </strong>To assess the utility of imputing race/ethnicity using U.S. Census race/ethnicity, residential address, and surname information compared to standard missing data methods in a pediatric cohort.</p>

<p><strong>DATA SOURCES/STUDY SETTING: </strong>Electronic health record data from 30 pediatric practices with known race/ethnicity.</p>

<p><strong>STUDY DESIGN: </strong>In a simulation experiment, we constructed dichotomous and continuous outcomes with pre-specified associations with known race/ethnicity. Bias was introduced by nonrandomly setting race/ethnicity to missing. We compared typical methods for handling missing race/ethnicity (multiple imputation alone with clinical factors, complete case analysis, indicator variables) to multiple imputation incorporating surname and address information.</p>

<p><strong>PRINCIPAL FINDINGS: </strong>Imputation using U.S. Census information reduced bias for both continuous and dichotomous outcomes.</p>

<p><strong>CONCLUSIONS: </strong>The new method reduces bias when race/ethnicity is partially, nonrandomly missing.</p>

DOI

10.1111/1475-6773.12295

Alternate Title

Health Serv Res

PMID

25759144

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