The Relationship Between Dental Provider Density and Receipt of Dental Care Among Medicaid-enrolled Adults.

OBJECTIVE: We sought to measure the association of dental provider density and receipt of dental care among Medicaid-enrolled adults. METHODS: We used four years of Indiana Medicaid claims and enrollment data (2015 to 2018) and the Area Health Resources File to examine the relationship between any dental visit (ADV) or any preventive dental visit (PDV) and three county-level measures of dental provider density (the total number of Medicaid-participating dentists, a binary indicator of a federally qualified health center (FQHC) with a Medicaid-participating dentist, and the overall county dentist-to-population ratio). RESULTS: The likelihood of ADV or PDV increased with greater density of Medicaid-participating dentists as well as dentists accepting Medicaid working at an FQHC within the county. The overall dentist-to-population ratio was not associated with dental care use among the adult Medicaid population. CONCLUSION: Dentist participation in Medicaid program may be a modifiable barrier to Medicaid-enrolled adults' receipt of dental care.

The relationship between preventive dental care and overall medical expenditures.

OBJECTIVES: To examine the relationship between preventive dental visits (PDVs) and medical expenditures while mitigating bias from unobserved confounding factors. STUDY DESIGN: Retrospective data analysis of Indiana Medicaid enrollment and claims data (2015-2018) and the Area Health Resources Files. METHODS: An instrumental variable (IV) approach was used to estimate the relationship between PDVs and medical and pharmacy expenditures among Medicaid enrollees. The instrument was defined as the number of adult enrollees with at least 1 nonpreventive dental claim per total Medicaid enrollees within a Census tract per year. RESULTS: In naive analyses, enrollees had on average greater medical expenditures if they had a prior-year PDV (ß = $397.21; 95% CI, $184.23-$610.18) and a PDV in the same year as expenditures were measured (ß = $344.81; 95% CI, $193.06-$496.56). No significant differences in pharmacy expenditures were observed in naive analyses. Using the IV approach, point estimates of overall medical expenditures for the marginal enrollee who had a prior-year PDV (ß = $325.17; 95% CI, -$708.03 to $1358.37) or same-year PDV (ß = $170.31; 95% CI, -$598.89 to $939.52) were similar to naive results, although not significant. Our IV approach indicated that PDV was not endogenous in some specifications. CONCLUSIONS: This is the first study to present estimates with causal inference from a quasi-experimental study of the effect of PDVs on overall medical expenditures. We observed that prior- or same-year PDVs were not related to overall medical or pharmacy expenditures.

Economic Burden Associated With Untreated Mental Illness in Indiana.

Importance: There is a paucity of systematically captured data on the costs incurred by society-individuals, families, and communities-from untreated mental illnesses in the US. However, these data are necessary for decision-making on actions and allocation of societal resources and should be considered by policymakers, clinicians, and employers. Objective: To estimate the economic burden associated with untreated mental illness at the societal level. Design, Setting, and Participants: This cross-sectional study used multiple data sources to tabulate the annual cost of untreated mental illness among residents (≥5 years old) in Indiana in 2019: the US National Survey on Drug Use and Health, the National Survey of Children's Health, Indiana government sources, and Indiana Medicaid enrollment and claims data. Data analyses were conducted from January to May 2022. Main Outcomes and Measures: Direct nonhealth care costs (eg, criminal justice system, homeless shelters), indirect costs (unemployment, workplace productivity losses due to absenteeism and presenteeism, all-cause mortality, suicide, caregiver direct health care, caregiver productivity losses, and missed primary education), and direct health care costs (disease-related health care expenditures). Results: The study population consisted of 6 179 105 individuals (median [SD] age, 38.0 [0.2] years; 3 132 806 [50.7%] were women) of whom an estimated 429 407 (95% CI, 349 526-528 171) had untreated mental illness in 2019. The economic burden of untreated mental illness in Indiana was estimated to be $4.2 billion annually (range of uncertainty [RoU], $2.1 billion-$7.0 billion). The cost of untreated mental illness included $3.3 billion (RoU, $1.7 billion-$5.4 billion) in indirect costs, $708.5 million (RoU, $335 million-$1.2 billion) in direct health care costs, and $185.4 million (RoU, $29.9 million-$471.5 million) in nonhealth care costs. Conclusion and Relevance: This cross-sectional study found that untreated mental illness may have significant financial consequences for society. These findings put into perspective the case for action and should be considered by policymakers, clinicians, and employers when allocating societal resources and funding. States can replicate this comprehensive framework as they prioritize key areas for action regarding mental health services and treatments.

Faculty salaries in health administration: trends and correlates 2015-2021.

In this study, we provide updated information on salaries of academic health administration (HA) faculty members based on data collected in 2015, 2018, and 2021 and examine characteristics associated with earnings. We present mean inflation-adjusted salaries by demographic characteristics, education, experience, productivity, and job activities. We find that salaries of assistant, associate, and full professors have kept up with inflation and there have not been significant changes in salary by any characteristics over time. As in previous iterations of similar survey data, there remain differences in salary by both gender and race. Higher salaries were associated with having a 12-month contract, being tenured or tenure-track, having an administrative position, and being in a department whose focus is not primarily teaching. Findings from our study will be of interest to individuals on the HA job market, hiring committees, and doctoral students preparing for a position after graduation.

Does preventive dental care reduce nonpreventive dental visits and expenditures among Medicaid-enrolled adults?

OBJECTIVE: To determine whether preventive dental visits are associated with fewer subsequent nonpreventive dental visits and lower dental expenditures. DATA SOURCES: Indiana Medicaid enrollment and claims data (2015-2018) and the Area Health Resource File. STUDY DESIGN: A repeated measures design with individual and year fixed effects examining the relationship between preventive dental visits (PDVs) and nonpreventive dental visits (NPVs) and dental expenditures. DATA COLLECTION/EXTRACTION METHODS: Not applicable. PRINCIPAL FINDINGS: Of 28,152 adults (108,349 observation-years) meeting inclusion criteria, 36.0% had a dental visit, 27.8% a PDV, and 22.1% a NPV. Compared to no PDV in the prior year, at least one was associated with fewer NPVs (ß = -0.13; 95% CI -0.12, -0.11), lower NPV expenditures (ß = -$29.12.53; 95% CI -28.07, -21.05), and lower total dental expenditures (-$70.12; 95% -74.92, -65.31), as well as fewer PDVs (ß = -0.24; 95% CI -0.26, -0.23). CONCLUSIONS: Our findings suggest that prior year PDVs are associated with fewer subsequent NPVs and lower dental expenditures among Medicaid-enrolled adults. Thus, from a public insurance program standpoint, supporting preventive dental care use may translate into improved population oral health outcomes and lower dental costs among certain low-income adult populations, but barriers to consistent utilization of PDV prohibit definitive findings.

The Impact of Narrow and Tiered Networks on Costs, Access, Quality, and Patient Steering: A Systematic Review.

Health insurers use narrow and tiered networks to lower costs by contracting with, or favoring, selected providers. Little is known about the contemporary effects of narrow or tiered networks on key metrics. The purpose of this systematic review was to synthesize the evidence on how narrow and tiered networks impact cost, access, quality, and patient steering. We searched PubMed, MEDLINE, and Cochrane Central Register of Controlled Trials databases for articles published from January 2000 to June 2020. Both narrow and tiered networks are associated with reduced overall health care costs for most cost-related measures. Evidence pertaining to access to care and quality measures were more limited to a narrow set of outcomes or were weak in internal validity, but generally concluded no systematic adverse effects on narrow or tiered networks. Narrow and tiered networks appear to reduce costs without affecting some quality measures. More research on quality outcomes is warranted.

Using natural language processing to classify social work interventions.

OBJECTIVES: Health care organizations are increasingly employing social workers to address patients' social needs. However, social work (SW) activities in health care settings are largely captured as text data within electronic health records (EHRs), making measurement and analysis difficult. This study aims to extract and classify, from EHR notes, interventions intended to address patients' social needs using natural language processing (NLP) and machine learning (ML) algorithms. STUDY DESIGN: Secondary data analysis of a longitudinal cohort. METHODS: We extracted 815 SW encounter notes from the EHR system of a federally qualified health center. We reviewed the literature to derive a 10-category classification scheme for SW interventions. We applied NLP and ML algorithms to categorize the documented SW interventions in EHR notes according to the 10-category classification scheme. RESULTS: Most of the SW notes (n = 598; 73.4%) contained at least 1 SW intervention. The most frequent interventions offered by social workers included care coordination (21.5%), education (21.0%), financial planning (18.5%), referral to community services and organizations (17.1%), and supportive counseling (15.3%). High-performing classification algorithms included the kernelized support vector machine (SVM) (accuracy, 0.97), logistic regression (accuracy, 0.96), linear SVM (accuracy, 0.95), and multinomial naive Bayes classifier (accuracy, 0.92). CONCLUSIONS: NLP and ML can be utilized for automated identification and classification of SW interventions documented in EHRs. Health care administrators can leverage this automated approach to gain better insight into the most needed social interventions in the patient population served by their organizations. Such information can be applied in managerial decisions related to SW staffing, resource allocation, and patients' social needs.

Primary Care Case Conferences to Mitigate Social Determinants of Health: A Case Study from One FQHC System.

Objective: Given the increasing difficulty healthcare providers face in addressing patients' complex social circumstances and underlying health needs, organizations are considering team-based approaches including case conferences. We sought to document various perspectives on the facilitators and challenges of conducting case conferences in primary care settings. Study Design: Qualitative study using semi-structured telephone interviews. Methods: We conducted 22 qualitative interviews with members of case conferencing teams, including physicians, nurses, and social workers from a Federally Qualified Health Clinic, as well as local county public health nurses. Interviews were recorded, transcribed, and reviewed using thematic coding to identify key themes/subthemes. Results: Participants reported perceived benefits to patients, providers, and healthcare organizations including better care, increased inter-professional communication, and shared knowledge. Perceived challenges related to underlying organizational processes and priorities. Perceived facilitators for successful case conferences included generating and maintaining a list of patients to discuss during case conference sessions and team members being prepared to actively participate in addressing tasks and patient needs during each session. Participants offered recommendations for further improving case conferences for patients, providers, and organizations. Conclusions: Case conferences may be a feasible approach to understanding patient's complex social needs. Participants reported that case conferences may help mitigate the effects of these social issues and that they foster better inter-professional communication and care planning in primary care. The case conference model requires administrative support and organizational resources to be successful. Future research should explore how case conferences fit into a larger population health organizational strategy so that they are resourced commensurately.

Core Competency Gaps Among Governmental Public Health Employees With and Without a Formal Public Health Degree.

OBJECTIVES: To examine the role of a formal public health degree as it relates to core competency needs among governmental public health employees. DESIGN: This cross-sectional study utilizes the 2017 Public Health Workforce Interests and Needs Survey (PH WINS). Bivariate relationships were analyzed by conducting χ tests of respondents' supervisory level and reported skill gaps. Multivariate logistic regressions of reported skill gaps were performed holding gender, age, race/ethnicity, highest degree attained, current employer, role type, tenure in current agency, and public health certificate attainment constant. SETTING: Nationally representative sample of government public health employees. PARTICIPANTS: A total of 30 276 governmental public health employees. MAIN OUTCOME MEASURE: Self-reported competency skills gaps. RESULTS: Among nonsupervisors, those with a public health degree had significantly lower odds of reporting a competency gap for 8 of the 21 skills assessed. Among supervisors/managers, those who had a formal public health degree had significantly lower odds of reporting a competency gap in 3 of the 22 skills assessed. Having a degree in public health was not significantly related to an executive's likelihood of reporting a skill gap across any of the 22 skills assessed. Regardless of supervisory level, having a public health degree was not associated with a reduced likelihood of reporting skill gaps in effective communication, budgeting and financial management, or change management competency domains. CONCLUSIONS: Possessing a formal public health degree appears to have greater value for skills required at the nonsupervisor and supervisor/manager levels than for skills needed at the executive level. Future work should focus on longitudinal evaluations of skill gaps reported among the public health workforce as changes in public health curricula may shift over time in response to newly revised accreditation standards. In addition, public health education should increase emphasis on communication, budgeting, systems thinking, and other management skills among their graduates.

Health information exchange use during dental visits.

Dental and medical providers require similar patient demographic and clinical information for the management of a mutual patient. Despite an overlap in information needs, medical and dental data are created and stored in multiple records and locations. Electronic health information exchange (HIE) bridge gaps in health data spread across various providers. Enabling exchange via query-based HIE may provide critical information at the point of care during a dental visit. The purpose of this study is to characterize query-based HIE use during dental visits at two Federally Qualified Health Centers (FQHCs) that provided on-site dental services. First, we determine the proportion of dental visits for which providers accessed the HIE. Next, site, patient and visit characteristics associated with query-based HIE use during dental visits are examined. Last, among dental visits with HIE use, the aspects of the HIE that are accessed most frequently are described. HIE use was low (0.17%) during dental visits, however our findings from this study extend the body of research examining HIE use by studying a less explored area of the care continuum.

Evaluation of a Dental Diagnostic Terminology Subset.

The objective of this study was to determine how well a subset of SNODENT, specifically designed for general dentistry, meets the needs of dental practitioners. Participants were asked to locate their written diagnosis for tooth conditions among the SNODENT terminology uploaded into an electronic dental record. Investigators found that 65% of providers' original written diagnoses were in "agreement" with their selected SNODENT dental diagnostic subset concept(s).

Maltreatment clusters among youth in outpatient substance abuse treatment: co-occurring patterns of psychiatric symptoms and sexual risk behaviors.

The purpose of the current study was to describe the use of a brief maltreatment assessment instrument to classify adolescents receiving alcohol or other drug (AOD) treatment services based on the extensiveness and severity of prior maltreatment. This goal is significant because maltreatment reduces the effectiveness of AOD treatment and is associated significantly with co-occurring patterns of psychiatric symptoms and sexual risk behaviors. Structured interviews were administered to 300 adolescent treatment clients (202 males, 98 females; M = 16.22 years; SD = 1.13 years) to assess childhood maltreatment experiences, past year psychiatric symptoms, and sexual risk behaviors during the past 180 days. Cluster analysis classified adolescents into unique groups via self-reported sexual abuse, physical punishment, and parental neglect/negative home environment. Significant between-cluster differences in psychiatric symptoms and sexual risk behaviors were documented using MANOVA and chi-square analyses. More severe maltreatment profiles were associated with higher scores for psychiatric symptoms and unprotected intercourse. Significant heterogeneity and distinct types within this treatment sample of adolescents supports the adaptation of selected prevention efforts to promote HIV/STI risk reduction.

The genome of Heliobacterium modesticaldum, a phototrophic representative of the Firmicutes containing the simplest photosynthetic apparatus.

Despite the fact that heliobacteria are the only phototrophic representatives of the bacterial phylum Firmicutes, genomic analyses of these organisms have yet to be reported. Here we describe the complete sequence and analysis of the genome of Heliobacterium modesticaldum, a thermophilic species belonging to this unique group of phototrophs. The genome is a single 3.1-Mb circular chromosome containing 3,138 open reading frames. As suspected from physiological studies of heliobacteria that have failed to show photoautotrophic growth, genes encoding enzymes for known autotrophic pathways in other phototrophic organisms, including ribulose bisphosphate carboxylase (Calvin cycle), citrate lyase (reverse citric acid cycle), and malyl coenzyme A lyase (3-hydroxypropionate pathway), are not present in the H. modesticaldum genome. Thus, heliobacteria appear to be the only known anaerobic anoxygenic phototrophs that are not capable of autotrophy. Although for some cellular activities, such as nitrogen fixation, there is a full complement of genes in H. modesticaldum, other processes, including carbon metabolism and endosporulation, are more genetically streamlined than they are in most other low-G+C gram-positive bacteria. Moreover, several genes encoding photosynthetic functions in phototrophic purple bacteria are not present in the heliobacteria. In contrast to the nutritional flexibility of many anoxygenic phototrophs, the complete genome sequence of H. modesticaldum reveals an organism with a notable degree of metabolic specialization and genomic reduction.

Niche adaptation and genome expansion in the chlorophyll d-producing cyanobacterium Acaryochloris marina.

Acaryochloris marina is a unique cyanobacterium that is able to produce chlorophyll d as its primary photosynthetic pigment and thus efficiently use far-red light for photosynthesis. Acaryochloris species have been isolated from marine environments in association with other oxygenic phototrophs, which may have driven the niche-filling introduction of chlorophyll d. To investigate these unique adaptations, we have sequenced the complete genome of A. marina. The DNA content of A. marina is composed of 8.3 million base pairs, which is among the largest bacterial genomes sequenced thus far. This large array of genomic data is distributed into nine single-copy plasmids that code for >25% of the putative ORFs. Heavy duplication of genes related to DNA repair and recombination (primarily recA) and transposable elements could account for genetic mobility and genome expansion. We discuss points of interest for the biosynthesis of the unusual pigments chlorophyll d and alpha-carotene and genes responsible for previously studied phycobilin aggregates. Our analysis also reveals that A. marina carries a unique complement of genes for these phycobiliproteins in relation to those coding for antenna proteins related to those in Prochlorococcus species. The global replacement of major photosynthetic pigments appears to have incurred only minimal specializations in reaction center proteins to accommodate these alternate pigments. These features clearly show that the genus Acaryochloris is a fitting candidate for understanding genome expansion, gene acquisition, ecological adaptation, and photosystem modification in the cyanobacteria.

The complete genome sequence of Roseobacter denitrificans reveals a mixotrophic rather than photosynthetic metabolism.

Purple aerobic anoxygenic phototrophs (AAPs) are the only organisms known to capture light energy to enhance growth only in the presence of oxygen but do not produce oxygen. The highly adaptive AAPs compose more than 10% of the microbial community in some euphotic upper ocean waters and are potentially major contributors to the fixation of the greenhouse gas CO2. We present the complete genomic sequence and feature analysis of the AAP Roseobacter denitrificans, which reveal clues to its physiology. The genome lacks genes that code for known photosynthetic carbon fixation pathways, and most notably missing are genes for the Calvin cycle enzymes ribulose bisphosphate carboxylase (RuBisCO) and phosphoribulokinase. Phylogenetic evidence implies that this absence could be due to a gene loss from a RuBisCO-containing alpha-proteobacterial ancestor. We describe the potential importance of mixotrophic rather than autotrophic CO2 fixation pathways in these organisms and suggest that these pathways function to fix CO2 for the formation of cellular components but do not permit autotrophic growth. While some genes that code for the redox-dependent regulation of photosynthetic machinery are present, many light sensors and transcriptional regulatory motifs found in purple photosynthetic bacteria are absent.