Population Health Management

Publisher: Mary Ann Liebert

Journal description

Current impact factor: 1.51

Impact Factor Rankings

2015 Impact Factor Available summer 2016
2014 Impact Factor 1.509
2013 Impact Factor 1.347
2012 Impact Factor 1.182
2011 Impact Factor 1.024
2010 Impact Factor 0.754
2009 Impact Factor 0.529

Impact factor over time

Impact factor

Additional details

5-year impact 1.48
Cited half-life 3.20
Immediacy index 0.11
Eigenfactor 0.00
Article influence 0.58
ISSN 1942-7905
OCLC 231763671
Material type Document, Periodical, Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details

Mary Ann Liebert

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • On author's personal website
    • On institutional repository, pre-print server or research network after 12 months embargo
    • Publisher's version/PDF cannot be used
    • Set statement to accompany deposit (see policy)
    • Publisher copyright and source must be acknowledged
    • NIH authors will have their final paper, (post peer review, copy-editing and proof-reading) deposited in PubMed Central on their behalf
    • Must link to publisher version with DOI
  • Classification
    ​ green

Publications in this journal

  • Population Health Management 09/2015; DOI:10.1089/pop.2015.0080
  • [Show abstract] [Hide abstract]
    ABSTRACT: The impact of a payer-provided telephone-based chronic disease management program on medical expenditures was evaluated using claims data from 126,245 members in employer self-ensured health plans (16,224 with a chronic disease in a group enrolled in the self-management program, 13,509 with a chronic disease in a group not participating in the program). A random effects regression model controlling for retrospective risk, age, sex, and diagnosis with a chronic disease was used to determine the impact of program participation on market-adjusted health care expenditures. Further confirmation of results was obtained by an ordinary least squares model comparing market- and risk-adjusted costs to the length of participation in the program. Participation in the program is associated with an average annual savings of $1157.91 per enrolled member in health care expenditures. Savings increase with the length of participation in the program. The results support the use of telephone-based patient self-management of chronic disease as a cost-effective means to reduce health care expenditures in the working-age population. (Population Health Management 2015;xx:xxx-xxx).
    Population Health Management 09/2015; DOI:10.1089/pop.2015.0049
  • [Show abstract] [Hide abstract]
    ABSTRACT: Depression is one of the more common diagnoses encountered in primary care, and primary care in turn provides the majority of care for patients with depression. Many approaches have been tried in efforts to improve the outcomes of depression management. This article outlines the partnership between the University of Washington (UW) Neighborhood Clinics and the UW Department of Psychiatry in implementing a collaborative care approach to integrating the management of anxiety and depression in the ambulatory primary care setting. This program was built on the chronic care model, which utilizes a team approach to caring for the patient. In addition to the patient and the primary care provider (PCP), the team included a medical social worker (MSW) as care manager and a psychiatrist as team consultant. The MSW would manage a registry of patients with depression at a clinic with several PCPs, contacting the patients on a regular basis to assess their status, and consulting with the psychiatrist on a weekly basis to discuss patients who were not achieving the goals of care. Any recommendation (eg, a change in medication dose or class) made by the psychiatrist was communicated to the PCP, who in turn would work with the patient on the new recommendation. This collaborative care approach resulted in a significant improvement in the number of patients who achieved care plan goals. The authors believe this is an effective method for health systems to integrate mental health services into primary care. (Population Health Management 2015;xx:xxx-xxx).
    Population Health Management 09/2015; DOI:10.1089/pop.2015.0039
  • [Show abstract] [Hide abstract]
    ABSTRACT: Risk adjustment accounts for differences in population mix by reducing the likelihood of enrollee selection by managed care plans and providing a correction to otherwise biased reporting of provider or plan performance. Functional health status is not routinely included within risk-adjustment methods, but is believed by many to be a significant enhancement to risk adjustment for complex enrollees and patients. In this analysis a standardized measure of functional health was created using 3 different source functional assessment instruments submitted to the Medicare program on condition of payment. The authors use a 5% development sample of Medicare claims from 2006 and 2007, including functional health assessments, and develop a model of functional health classification comprising 9 groups defined by the interaction of self-care, mobility, incontinence, and cognitive impairment. The 9 functional groups were used to augment Clinical Risk Groups, a diagnosis-based patient classification system, and when using a validation set of 100% of Medicare data for 2010 and 2011, this study found the use of the functional health module to improve the fit of observed enrollee cost, measured by the R(2) statistic, by 5% across all Medicare enrollees. The authors observed complex nonlinear interactions across functional health domains when constructing the model and caution that functional health status needs careful handling when used for risk adjustment. The addition of functional health status within existing risk-adjustment models has the potential to improve equitable resource allocation in the financing of care costs for more complex enrollees if handled appropriately. (Population Health Management 2015;xx:xxx-xxx).
    Population Health Management 09/2015; DOI:10.1089/pop.2015.0043
  • Population Health Management 08/2015; DOI:10.1089/pop.2015.0053
  • [Show abstract] [Hide abstract]
    ABSTRACT: This study aimed to evaluate the effectiveness of a telephone health coaching and support service provided to members of an Australian private health insurance fund-Telephonic Complex Care Program (TCCP)-on hospital use and associated costs. A case-control pre-post study design was employed using propensity score matching. Private health insurance members (n=273) who participated in TCCP between April and December 2012 (cases) were matched (1:1) to members who had not previously been enrolled in the program or any other disease management programs offered by the insurer (n=232). Eligible members were community dwelling, aged ≥65 years, and had 2 or more hospital admissions in the 12 months prior to program enrollment. Preprogram variables that estimated the propensity score included: participant demographics, diagnoses, and hospital use in the 12 months prior to program enrollment. TCCP participants received one-to-one telephone support, personalized care plan, and referral to community-based services. Control participants continued to access usual health care services. Primary outcomes were number of hospital admission claims and total benefits paid for all health care utilizations in the 12 months following program enrollment. Secondary outcomes included change in total benefits paid, hospital benefits paid, ancillary benefits paid, and total hospital bed days over the 12 months post enrollment. Compared with matched controls, TCCP did not appear to reduce health care utilization or benefits paid in the 12 months following program enrollment. However, program characteristics and implementation may have impacted its effectiveness. In addition, challenges related to evaluating complex health interventions such as TCCP are discussed.
    Population Health Management 08/2015; DOI:10.1089/pop.2015.0042
  • [Show abstract] [Hide abstract]
    ABSTRACT: The objective was to assess the effect of online use of a patient portal on improvement of glycohemoglobin (HbA1c) in patients with type 2 diabetes presenting to primary care clinics. This retrospective cohort design used data from a primary care patient data registry that captured all ambulatory visits to the academic medical center's primary care clinics. A total of 1510 patients with diabetes were included because they had at least 1 visit with a documented HbA1c value between January 1, 2010, and June 30, 2013. Degree of patient portal use was defined as no use, read only, and read and write. Linear regression models were computed to measure the association between degree of patient portal use and HbA1c control before and after adjusting for demographics, comorbidity, and volume of health care use. Patients who were nonusers of the patient portal's e-mail function had consistently higher average HbA1c values than patients who read and wrote e-mails. After adjusting for demographics, health services utilization, and comorbid conditions, patients who read and wrote e-mails still had significantly (P<0.001) lower average HbA1c values compared to nonusers (ß=-0.455; 95% confidence interval [CI]:-.632-.277). In adjusted analysis, patients who only read e-mail also had significantly (P<0.05) lower mean HbA1c values compared to nonusers (ß=-0.311, 95%CI:-.61--0.012). Patients with more active e-mail communication via a patient portal appeared to have the greatest likelihood of HbA1c control. Patients should be encouraged to use this resource as a means of communication with providers and not merely a passive source of information. (Population Health Management 2015;xx:xxx-xxx).
    Population Health Management 08/2015; DOI:10.1089/pop.2015.0034
  • [Show abstract] [Hide abstract]
    ABSTRACT: Little is known about the use of the single self-rated health (SRH) status item measuring health-related quality of life among people with coronary artery disease (CAD). The objective of this study was to assess relationships between SRH and recurrent coronary events, mortality, health care utilization, and intermediate clinical outcomes and to assess predictors of fair/poor SRH. A total of 5573 patients enrolled in a comprehensive cardiac risk reduction service managed by clinical pharmacy specialists were evaluated over a 2-year period. Regression modeling explored relationships among variables, modeling SRH separately as an independent and a dependent variable. The 1374 (24.7%) respondents reporting fair/poor SRH differed statistically from 4199 (75.3%) respondents reporting good/very good/excellent SRH in terms of age, sex, ethnicity, number of comorbid conditions, DxCG scores, lifestyle behaviors, blood pressure control, and inpatient and emergency department (ED) utilization. Respondents reporting fair/poor health were more likely to have recurrent major coronary events (MCE), including death. Fair/poor SRH was consistently statistically significant when it was included as a predictor in regression modeling for poor blood pressure control, health care utilization, MCE, and all-cause mortality. Variables associated with fair/poor SRH in regression modeling included females, Hispanic ethnicity, ≥1 baseline ED visit, and DxCG score. Exercising <30 minutes per week was strongly associated with fair/poor SRH. Single-item SRH status may help identify patients with CAD at higher risk of poor blood pressure control, recurrent MCE, and death and those who may benefit from interventions to increase physical activity. (Population Health Management 2015;xx:xxx-xxx).
    Population Health Management 08/2015; DOI:10.1089/pop.2014.0178
  • [Show abstract] [Hide abstract]
    ABSTRACT: This study determined the impact of preexisting mental illnesses on guideline-consistent breast cancer treatment and breast cancer-related health care utilization. This was a retrospective, longitudinal, cohort study conducted using data from the 2006-2008 Medicaid Analytic Extract files. The target population for the study consisted of female Medicaid enrollees who were aged 18-64 years and were newly diagnosed with breast cancer in 2007. Guideline-consistent breast cancer treatment was defined according to established guidelines. Breast cancer-related health care use was reported in the form of inpatient, outpatient, and emergency room visits. Statistical analyses consisted of multivariable hierarchical regression models. A total of 2142 newly diagnosed cases of breast cancer were identified. Approximately 38% of these had a preexisting mental illness. Individuals with any preexisting mental illness were less likely to receive guideline-consistent breast cancer treatment compared to those without any preexisting mental illness (adjusted odds ratio: 0.793, 95% confidence interval [CI]: 0.646-0.973). A negative association was observed between preexisting mental illness and breast cancer-related outpatient (adjusted incident rate ratio (AIRR): 0.917, 95% CI: 0.892-0.942) and emergency room utilization (AIRR: 0.842, 95% CI: 0.709-0.999). The association between preexisting mental illnesses and breast cancer-related inpatient utilization was statistically insignificant (AIRR: 0.993, 95% CI: 0.851-1.159). The findings of this study indicate that breast cancer patients with preexisting mental illnesses experience disparities in terms of receipt of guideline-consistent breast cancer treatment and health care utilization. The results of this study highlight the need for more focused care for patients with preexisting mental illness. (Population Health Management 2015;xx:xxx-xxx).
    Population Health Management 06/2015; DOI:10.1089/pop.2014.0146
  • [Show abstract] [Hide abstract]
    ABSTRACT: Childhood asthma is a prevalent and costly chronic condition. Optimal management enables secondary and tertiary prevention. The goal was to identify population health considerations for pediatric asthma in California to inform the development of quality improvement interventions. California Health Interview Survey 2011-2012 is a random-digit dial telephone survey conducted in 5 languages. It includes 44,000 households from all 58 counties in California. This study assessed factors related to symptom control and health care use in children ages 2-11 years with asthma. An estimated 492,385 (9.6%) of children in California currently have asthma. Urban and rural residents face comparable asthma disease burdens. School-age male children as well as Asian and African American children are disproportionately affected. Asthma causes significant morbidity, with poorer health status, high utilization of emergency care, and the need for daily medication use. Only 38% of children with asthma have a recent asthma management plan. Half of all children with asthma did not receive influenza immunization in the past year, although this reflects the overall low rate of influenza vaccination. Parents of children with asthma frequently utilize the Internet for health information and communication with their child's health care provider. Children with asthma in California face several population-level challenges, including poor health status, low influenza vaccination rates, high use of emergency care, and suboptimal use of health literacy tools. Focusing on improved care coordination and preventive care for high-risk groups is especially urgent given the expansion of public health insurance and impending shortages in the primary care workforce. (Population Health Management 2015;xx:xxx-xxx).
    Population Health Management 06/2015; DOI:10.1089/pop.2015.0015
  • [Show abstract] [Hide abstract]
    ABSTRACT: The objective was to determine whether automated telephone self-management support (ATSM) for low-income, linguistically diverse health plan members with diabetes affects health care utilization or cost. A government-sponsored managed care plan for low-income patients implemented a demonstration project between 2009 and 2011 that involved a 6-month ATSM intervention for 362 English-, Spanish-, or Cantonese-speaking members with diabetes from 4 publicly funded clinics. Participants were randomized to immediate intervention or a wait-list. Medical and pharmacy claims used in this analysis were obtained from the managed care plan. Medical claims included hospitalizations, ambulance use, emergency department visits, and outpatient visits. In the 6-month period following enrollment, intervention participants generated half as many emergency department visits and hospitalizations (rate ratio 0.52, 95% CI 0.26, 1.04) compared to wait-listed participants, but these differences did not reach statistical significance (P=0.06). With adjustment for prior year cost, intervention participants also had a nonsignificant reduction of $26.78 in total health care costs compared to wait-listed individuals (P=0.93). The observed trends suggest that ATSM could yield potential health service benefits for health plans that provide coverage for chronic disease patients in safety net settings. ATSM should be further scaled up to determine whether it is associated with a greater reduction in health care utilization and costs. (Population Health Management 2015;xx:xxx-xxx).
    Population Health Management 06/2015; DOI:10.1089/pop.2014.0154
  • [Show abstract] [Hide abstract]
    ABSTRACT: Erythropoiesis-stimulating agents (ESAs), found to be effective in reducing anemia in chemotherapy-treated cancer patients, also are associated with an increased risk of cardiovascular events, including stroke. In an attempt to mitigate the risk, the Food and Drug Administration implemented a Risk Evaluation Mitigation Strategy (REMS) in February 2010. The purpose of this study is to evaluate change over time in the incidence of stroke among these patients before and after implementation of REMS. A retrospective data analysis using the Medicare 5% Sample Dataset, 2008-2011, was performed. Patients had to be 65 years of age or older at the start of at least 1 year of continuous enrollment and to have lung and/or breast cancers along with chemotherapy-induced anemia (CIA) in both pre-REMS and post-REMS periods (1Q2008 through 4Q2009 and 1Q2010 through 4Q2011, respectively). Logistic regression was used to evaluate differences in proportions of patients who received ESAs and experienced a stroke pre and post REMS. The pre-REMS cohort included 1252 eligible patients prescribed ESAs; the post-REMS cohort included 949 patients. No statistically significant change in stroke incidence was observed post REMS among patients with CIA who received ESAs. There was a 29.5% decrease in ESA use in patients with lung cancer and a 27.8% decrease in patients with breast cancer. Both were statistically significant. Results adjusted for baseline characteristics and comorbid conditions were similar. There was a statistically significant decrease in ESA use in patients with breast and/or lung cancers post REMS; no statistically significant reduction in the incidence of stroke was observed regardless of cancer type. (Population Health Management 2015;xx:xxx-xxx).
    Population Health Management 06/2015; DOI:10.1089/pop.2015.0017
  • [Show abstract] [Hide abstract]
    ABSTRACT: Increasing scrutiny of hospital readmission rates has spurred a wide variety of quality improvement initiatives. The Preventing Avoidable Readmissions Together (PART) initiative is a statewide quality improvement learning collaborative organized by stakeholder organizations in South Carolina. This descriptive report focused on initial interventions with hospitals. Eligible participants included all acute care hospitals plus home health organizations, nursing facilities, hospices, and other health care organizations. Measures were degree of statewide participation, curricular engagement, adoption of evidence-based improvement strategies, and readmission rate changes. Fifty-nine of 64 (92%) acute care hospitals and 9 of 10 (90%) hospital systems participated in collaborative events. Curricular engagement included: webinars and coaching calls (49/59, 83%), statewide in-person meetings (35/59, 59%), regional in-person meetings (44/59, 75%), and individualized consultations (46/59, 78%). Among 34 (58%) participating hospitals completing a survey at the completion of Year 1, respondents indicated complete implementation of multidisciplinary rounding (58%), post-discharge telephone calls (58%), and teach-back (32%), and implementation in process of high-quality transition records (52%), improved discharge summaries (45%), and timely follow-up appointments (39%). A higher proportion of hospitals had significant decreases (≥10% relative change) in all-cause readmission rates for acute myocardial infarction (55.6% vs. 30.4%, P=0.01), heart failure (54.2% vs. 31.7%, P=0.09), and chronic obstructive pulmonary disease (41.7% vs. 33.3%, P=0.83) between 2011-2013 compared to earlier (2009-2011) trends. Focus on reducing readmissions is driving numerous, sometimes competing, quality improvement initiatives. PART successfully engaged the majority of acute care facilities in one state to harmonize and accelerate adoption of evidence-based care transitions strategies. (Population Health Management 2015;xx:xxx-xxx).
    Population Health Management 06/2015; DOI:10.1089/pop.2014.0182
  • [Show abstract] [Hide abstract]
    ABSTRACT: This paper examined individual characteristics associated with being a high-cost case in multiple years for Medicaid-covered health care services. In addition, the accuracy of models that predict future persistent high-cost cases was examined. Florida Medicaid claims from 2005 to 2010 were used to examine characteristics, diagnoses, and services associated with individual costs being in the top 1% of recipients. Regression models were estimated with diagnoses and service use in a base year used to predict future high-cost cases. Several different perspectives were used that focus on predicting current year high-cost cases based on prior persistence, predicting future persistence of high costs, and a combination of using past persistence to predict future persistence. Average annual costs for persistent high-cost cases were more than $140,000. Overall, models were predictive of future high-cost cases. The receipt of intermediate case facility (mental retardation) services was the strongest predictor of future high-cost cases. Inpatient, outpatient, pharmacy, and nursing home services, along with diagnoses, all provided important information for predicting high-cost cases. Diagnosis-based models in conjunction with prior costs can predict future high-cost cases with a high degree of accuracy. However, given that many high-cost cases reside in intermediate care facilities, it is not clear that such individuals would benefit from intensive case management. Service use patterns in prior years, diagnoses, and prior costs should all be used to identify individuals who may benefit from intensive case management. (Population Health Management 2015;xx:xxx-xxx).
    Population Health Management 06/2015; DOI:10.1089/pop.2014.0174
  • [Show abstract] [Hide abstract]
    ABSTRACT: This study is an analysis of a workplace diabetes management program offered to employees of a Fortune 100 financial services corporation located in the United States. The 12-month worksite-based educational program was for employees who were at risk for diabetes, had prediabetes, or were diagnosed with diabetes. This employed population, with health benefits, generally had acceptable control of their diabetes at the start of the program. They statistically improved most self-efficacy measures, but improvement in biometric tests at 6 and 12 months were not significantly different from baseline. Mean hemoglobin A1c at baseline, 6 months, and 12 months was 7.2%, 7.2%, and 7.3%, respectively. At 12 months, about 40% of preprogram survey participants completed all screenings and the post-program questionnaire. Disease management programs at the workplace can be an important component in helping employees enhance their knowledge of diabetes and maintain and improve their health. (Population Health Management 2015;xx:xxx-xxx).
    Population Health Management 06/2015; DOI:10.1089/pop.2014.0141
  • [Show abstract] [Hide abstract]
    ABSTRACT: This study assessed the hypothesis that the clinic site of service socioeconomic status (SES) represents an unmeasured confounder for clinical outcome comparisons between dialysis clinics and provider types, using data from the federal pay-for-performance program for end-stage renal disease. A total of 6506 dialysis facilities were categorized by clinic SES status (rurality and poverty status). Clinics were then grouped by provider type (chain size and tax status). Lastly, performance penalties were determined by each of these classifications. Findings were that 7.4% of dialysis clinics could be classified as being in rural locations, and 20.6% could be classified as being in high-poverty locations. Large dialysis organizations served more rural (65%) and high-poverty areas (metropolitan, 69%; micropolitan, 75%; rural, 75%) compared to other providers (medium, small, hospital/university). For-profit providers accounted for a majority of dialysis clinics in rural areas (78%) and high poverty areas (metropolitan, 84%; micropolitan, 85%; rural, 90%). This study found that dialysis clinic performance penalties did vary by SES, with poorer outcomes observed for clinic locations with lower SES. This finding, along with the nonrandom distribution of provider types by SES status, suggests that clinic and provider location SES may need to be considered when comparing providers. (Population Health Management 2015;xx:xxx-xxx).
    Population Health Management 06/2015; DOI:10.1089/pop.2014.0158
  • Population Health Management 06/2015; DOI:10.1089/pop.2015.0033