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Nevin Manimala Statistics

Development and Evaluation of Serious Illness Conversation Training for Interprofessional Primary Care Teams

J Palliat Med. 2023 Apr 11. doi: 10.1089/jpm.2022.0268. Online ahead of print.

ABSTRACT

Background: Early advance care planning (ACP) conversations are essential to deliver patient-centered care. While primary care is an ideal setting to initiate ACP, such as Serious Illness Conversations (SICs), many barriers exist to implement such conversations in routine practice. An interprofessional team approach holds promises to address barriers. Objective: To develop and evaluate SIC training for interprofessional primary care teams (IP-SIC). Design: An existing SIC training was adapted for IP-SIC and then implemented and evaluated for acceptability and effectiveness. Setting/Context: Interprofessional teams in 15 primary care clinics in five US states. Measures: Acceptability of the IP-SIC training and participants’ self-reported likelihood to engage in ACP after the training. Results: The 156 participants were a mix of physicians and advanced practice providers (APPs) (44%), nurses and social workers (31%), and others (25%). More than 90% of all participants rated the IP-SIC training positively. While nurse/social worker and other groups were less likely than physician and APP group to engage in ACP before training (4.4, 3.7, and 6.4 on a 1-10 scale, respectively), all groups showed significant increase in likelihood to engage in ACP after the IP-SIC training (8.5, 7.7, and 9.2, respectively). Both physician/APP and nurse/social worker groups showed significant increase in likelihood to use the SIC Guide after the IP-SIC training, whereas an increase in likelihood to use SIC Guide among other groups was not statistically significant. Conclusion: The new IP-SIC training was well accepted by interprofessional team members and effective to improve their likelihood to engage in ACP. Further research exploring how to facilitate collaboration among interprofessional team members to maximize opportunities for more and better ACP is warranted. ClinicalTrials.gov ID: NCT03577002.

PMID:37040304 | DOI:10.1089/jpm.2022.0268

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Nevin Manimala Statistics

Temporal Location of Changes in the US Suicide Rate by Age, Ethnicity, and Race: A Joinpoint Analysis 1999-2020

J Nerv Ment Dis. 2023 Apr 11. doi: 10.1097/NMD.0000000000001653. Online ahead of print.

ABSTRACT

Suicide rates differ over time. Our objective was to determine when significant changes occurred by age, race, and ethnicity in the United States between 1999 and 2020. National Center for Health Statistics WONDER data were used in joinpoint regression. The annual percent change in suicide rate increased for all race, ethnic, and age groups, except for those 65 years and older. For American Indian/Alaska Natives, the largest increase occurred between 2010 and 2020 for those with ages 25 to 34 years. For Asian/Pacific Islander, the largest increase occurred among those 15 to 24 years old between 2011 and 2016. For Black/African-Americans, the largest increases occurred between 2010 and 2020 among 15- to 34-year-olds. For Whites, the largest increase occurred between 2014 and 2017 among 15- to 24-year-olds. Between 2018 and 2020, suicide rates significantly declined among Whites 45 to 64 years of age. Among Hispanics, significant increases in suicide rate occurred between 2012 and 2020 among those with ages 15 to 44 years. Between 1999 and 2020, the contour of suicide burden varied by age groups, race, and ethnicity.

PMID:37040181 | DOI:10.1097/NMD.0000000000001653

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Nevin Manimala Statistics

Biological Mechanisms in Pregnant Women With Anxiety (Happy Mother-Healthy Baby Supplement Study): Protocol for a Longitudinal Mixed Methods Observational Study

JMIR Res Protoc. 2023 Apr 11;12:e43193. doi: 10.2196/43193.

ABSTRACT

BACKGROUND: Anxiety and depression are common in the perinatal period and negatively affect the health of the mother and baby. Our group has developed “Happy Mother-Healthy Baby” (HMHB), a cognitive behavioral therapy-based psychosocial intervention to address risk factors specific to anxiety during pregnancy in low- and middle-income countries (LMICs).

OBJECTIVE: The purpose of this study is to examine biological mechanisms that may be linked to perinatal anxiety in conjunction with a randomized controlled trial of HMHB in Pakistan.

METHODS: We are recruiting 120 pregnant women from the Holy Family Hospital, a public facility in Rawalpindi, Pakistan. Participants are assessed for at least mild anxiety symptoms using the Hospital Anxiety and Depression Scale (ie, a score ≥8 on the anxiety scale is necessary for inclusion in the anxiety groups and <8 for inclusion in the healthy control group). Women who meet the criteria for an anxiety group are randomized into either the HMHB intervention group or an enhanced usual care (EUC) control group. Participants receive HMHB or EUC throughout pregnancy and undergo blood draws at 4 time points (baseline, second trimester, third trimester, and 6 weeks post partum). We will assess peripheral cytokine concentrations using a multiplex assay and hormone concentrations using gas chromatography and mass spectrometry. The statistical analysis will use generalized linear models and mixed effects models to assess the relationships across time among anxiety, immune dysregulation, and hormone levels, and to assess whether these biological factors mediate the relationship between anxiety and birth and child development outcomes.

RESULTS: Recruitment started on October 20, 2020, and data collection was completed on August 31, 2022. The start date for recruitment for this biological supplement study was delayed by approximately half a year due to the COVID-19 pandemic. The trial was registered at ClinicalTrials.gov (NCT03880032) on September 22, 2020. The last blood samples were shipped to the United States on September 24, 2022, where they will be processed for analysis.

CONCLUSIONS: This study is an important addition to the HMHB randomized controlled trial of an intervention for antenatal anxiety. The intervention itself makes use of nonspecialist providers and, if effective, will represent an important new tool for the treatment of antenatal anxiety in LMICs. Our biological substudy is one of the first attempts to link biological mechanisms to antenatal anxiety in an LMIC in the context of a psychosocial intervention, and our findings have the potential to significantly advance our knowledge of the biological pathways of perinatal mental illness and treatment efficacy.

TRIAL REGISTRATION: ClinicalTrials.gov NCT03880032; https://clinicaltrials.gov/ct2/show/NCT03880032.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/43193.

PMID:37040167 | DOI:10.2196/43193

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Nevin Manimala Statistics

Wearable Sensor and Mobile App-Based mHealth Approach for Investigating Substance Use and Related Factors in Daily Life: Protocol for an Ecological Momentary Assessment Study

JMIR Res Protoc. 2023 Apr 11;12:e44275. doi: 10.2196/44275.

ABSTRACT

BACKGROUND: Digital health technologies using mobile apps and wearable devices are a promising approach to the investigation of substance use in the real world and for the analysis of predictive factors or harms from substance use. Moreover, consecutive repeated data collection enables the development of predictive algorithms for substance use by machine learning methods.

OBJECTIVE: We developed a new self-monitoring mobile app to record daily substance use, triggers, and cravings. Additionally, a wearable activity tracker (Fitbit) was used to collect objective biological and behavioral data before, during, and after substance use. This study aims to describe a model using machine learning methods to determine substance use.

METHODS: This study is an ongoing observational study using a Fitbit and a self-monitoring app. Participants of this study were people with health risks due to alcohol or methamphetamine use. They were required to record their daily substance use and related factors on the self-monitoring app and to always wear a Fitbit for 8 weeks, which collected the following data: (1) heart rate per minute, (2) sleep duration per day, (3) sleep stages per day, (4) the number of steps per day, and (5) the amount of physical activity per day. Fitbit data will first be visualized for data analysis to confirm typical Fitbit data patterns for individual users. Next, machine learning and statistical analysis methods will be performed to create a detection model for substance use based on the combined Fitbit and self-monitoring data. The model will be tested based on 5-fold cross-validation, and further preprocessing and machine learning methods will be conducted based on the preliminary results. The usability and feasibility of this approach will also be evaluated.

RESULTS: Enrollment for the trial began in September 2020, and the data collection finished in April 2021. In total, 13 people with methamphetamine use disorder and 36 with alcohol problems participated in this study. The severity of methamphetamine or alcohol use disorder assessed by the Drug Abuse Screening Test-10 or the Alcohol Use Disorders Identification Test-10 was moderate to severe. The anticipated results of this study include understanding the physiological and behavioral data before, during, and after alcohol or methamphetamine use and identifying individual patterns of behavior.

CONCLUSIONS: Real-time data on daily life among people with substance use problems were collected in this study. This new approach to data collection might be helpful because of its high confidentiality and convenience. The findings of this study will provide data to support the development of interventions to reduce alcohol and methamphetamine use and associated negative consequences.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/44275.

PMID:37040162 | DOI:10.2196/44275

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Nevin Manimala Statistics

Non-surgical peri-implantitis treatment with or without systemic antibiotics

Ned Tijdschr Tandheelkd. 2023 Apr;130(4):173-181. doi: 10.5177/ntvt.2023.04.23004.

ABSTRACT

This study investigated the effect of initial nonsurgical treatment in patients with peri-implantitis with or without prescription of an antibiotic regimen consisting of amoxicillin and metronidazole. For this purpose, patients with peri-implantitis were randomized into a group of initial treatment with antibiotics and a group without antibiotics. They were re-evaluated 12 weeks after treatment. Analyses were performed at the patient level at 1 peri-implant pocket per patient. Both groups showed significant peri-implant pocket depth reductions after initial treatment. Treatment with antibiotics resulted in a higher mean reduction in peri-implant pocket depth than when no antibiotics were used, but this difference did not reach statistical significance. Only 2 implants, 1 in each group, showed a successful outcome of a peri-implant pocket depth ofunder ≤ 5 mm and with an absence of bleeding and pus after probing. Initial treatment with or without antibiotics is ultimately not sufficient to fully treat peri-implantitis; additional surgical procedures will often be required.

PMID:37040152 | DOI:10.5177/ntvt.2023.04.23004

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Nevin Manimala Statistics

Prolonged Grief Disorder and the DSM: A History

J Nerv Ment Dis. 2023 May 1;211(5):386-392. doi: 10.1097/NMD.0000000000001618.

ABSTRACT

In the early 1990s, a research group that included Holly Prigerson and Charles Reynolds established that disordered grief overlaps with depression and anxiety but is not the same. They also developed a research inventory for studying disordered grief. Subsequently, Prigerson focused on measuring disordered grief using advanced psychometric techniques. Because treatment for grief-related depression reduced symptoms of depression but not grief, Katherine Shear was recruited to develop a more effective therapy. Prigerson came to conceptualize disordered grief as prolonged grief that is associated with negative outcomes. Shear came to conceptualize disordered grief as intense grief that is complicated by features that interfere with adaption to the loss. In 2013 a hybrid disorder composed of criteria from both groups was placed in the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) appendix. Under the leadership of the DSM Steering Committee, a summit meeting in 2019 helped break an impasse, and a revised prolonged grief disorder became an official DSM diagnosis.

PMID:37040140 | DOI:10.1097/NMD.0000000000001618

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Nevin Manimala Statistics

Knowledge and Attitudes of Concussion Reporting Behavior Intentions in Parents of Youth Recreational Football Players

Res Q Exerc Sport. 2023 Apr 11:1-9. doi: 10.1080/02701367.2023.2189444. Online ahead of print.

ABSTRACT

Purpose: This study: (1) Described the knowledge, attitudes, and reported behavior intentions of young recreational football players’ parents toward concussion. (2) Investigated associations of the previous variables with parent demographics. Materials and Methods: A cross-sectional design utilized an online platform to survey parents of children (8-14 yrs.) in three youth football leagues in the southern United States. Demographics collected included items such as sex or concussion history. Knowledge was assessed via true/false items, with higher scores (0-20) representing greater concussion understanding. 4-point Likert scales were used to describe parents attitudes (1 = not at all, 4 = very much), confidence in intended recognition/reporting (1 = not-confident, 4 = extremely confident), and agreement with intended reporting behaviors (1 = strong- disagreement, 4 = strong-agreement). Descriptive statistics were calculated for demographics. Mann-Whitney U test or Kruskal-Wallis Tests examined survey responses across demographics. Results: Respondents (n = 101) were primarily female (64.4%), white (81.2%), and participated in contact sport (83.2%). Parents averaged 15.9 ± 1.4 on concussion knowledge, with only 34.7% (n = 35) of parents scoring > 17/20. Statements that received the lowest average agreement (3.29/4) regarding reporting intent were related to emotional symptoms. Some parents (n = 42, 41.6%) reported low confidence in recognizing symptoms of a concussion in their child. Parent demographics did not have clinically significant associations with survey responses, with 6/7 demographic variables resulting in no statistical significance (p > .05). Conclusions: Although one-third of parents attained high knowledge scores, several reported low confidence in recognizing concussion symptoms in their children. Parents scored lower in agreement with removing their child from play when concussion symptoms were subjective. Youth sports organizations providing concussion education to parents should consider these results when revising their materials.

PMID:37040134 | DOI:10.1080/02701367.2023.2189444

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Nevin Manimala Statistics

Suicide Around the Anniversary of a Parent’s Death in Sweden

JAMA Netw Open. 2023 Apr 3;6(4):e236951. doi: 10.1001/jamanetworkopen.2023.6951.

ABSTRACT

IMPORTANCE: Bereavement following parental death experienced in adulthood may be associated with suicide over many years, but this risk has received scant attention.

OBJECTIVE: To investigate whether the risk of suicide increases among adult children around the anniversary of a parent’s death.

DESIGN, SETTING, AND PARTICIPANTS: This case-crossover study used Swedish register-based longitudinal data from 1990 to 2016, based on the entire national population. Participants included all adults aged 18 to 65 years who experienced parental death and subsequently died by suicide. Conditional logistic regression was used to quantify the association between the anniversary (or preanniversary and postanniversary periods) and suicide, controlling for time-invariant confounding. All analyses were stratified by sex of the offspring. The analyses were also stratified by the sex of the deceased parent, time since parental death, age, and marital status. Data analyses were performed in June 2022.

EXPOSURES: Anniversary of a parent’s death (or preanniversary and postanniversary periods).

MAIN OUTCOMES AND MEASURES: Suicide.

RESULTS: Of 7694 individuals who died by suicide (76% intentional self-harm), 2255 (29%) were women, and the median (IQR) age at suicide was 55 (47-62) years. There was evidence of an anniversary reaction among women, with a 67% increase in the odds of suicide when exposed to the period from the anniversary to 2 days after the anniversary, compared with when not being exposed (odds ratio [OR], 1.67; 95% CI, 1.07-2.62). The risk was particularly pronounced among maternally bereaved women (OR, 2.29; 95% CI, 1.20-4.40) and women who were never married (OR, 2.08; 95% CI, 0.99-4.37), although the latter was not statistically significant. An increased risk of suicide from the day before up to the anniversary was observed among women bereaved between the ages of 18 and 34 years (OR, 3.46; 95% CI, 1.14-10.56) and between the ages of 50 and 65 years (OR, 2.53; 95% CI, 1.04-6.15). Men had an attenuated suicide risk for the period from the day before up to the anniversary (OR, 0.57; 95% CI, 0.36-0.92).

CONCLUSIONS AND RELEVANCE: These findings suggest that the anniversary of a parent’s death is associated with an increased suicide risk among women. Women bereaved at younger or older ages, those who were maternally bereaved, and those who never married appeared to be particularly vulnerable. Families and social and health care professionals need to consider anniversary reactions in suicide prevention.

PMID:37040117 | DOI:10.1001/jamanetworkopen.2023.6951

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Nevin Manimala Statistics

Use of Machine Learning to Differentiate Children With Kawasaki Disease From Other Febrile Children in a Pediatric Emergency Department

JAMA Netw Open. 2023 Apr 3;6(4):e237489. doi: 10.1001/jamanetworkopen.2023.7489.

ABSTRACT

IMPORTANCE: Early awareness of Kawasaki disease (KD) helps physicians administer appropriate therapy to prevent acquired heart disease in children. However, diagnosing KD is challenging and relies largely on subjective diagnosis criteria.

OBJECTIVE: To develop a prediction model using machine learning with objective parameters to differentiate children with KD from other febrile children.

DESIGN, SETTING, AND PARTICIPANTS: This diagnostic study included 74 641 febrile children younger than 5 years who were recruited from 4 hospitals, including 2 medical centers and 2 regional hospitals, between January 1, 2010, and December 31, 2019. Statistical analysis was performed from October 2021 to February 2023.

MAIN OUTCOMES AND MEASURES: Demographic data and laboratory values from electronic medical records, including complete blood cell count with differential, urinalysis, and biochemistry, were collected as possible parameters. The primary outcome was whether the febrile children fulfilled the diagnostic criteria of KD. The supervised eXtreme Gradient Boosting (XGBoost) machine learning method was applied to establish a prediction model. The confusion matrix and likelihood ratio were used to evaluate the performance of the prediction model.

RESULTS: This study included a total of 1142 patients with KD (mean [SD] age, 1.1 [0.8] years; 687 male patients [60.2%]) and 73 499 febrile children (mean [SD] age, 1.6 [1.4] years; 41 465 male patients [56.4%]) comprising the control group. The KD group was predominantly male (odds ratio, 1.79; 95% CI, 1.55-2.06) with younger age (mean difference, -0.6 years [95% CI, -0.6 to -0.5 years]) compared with the control group. The prediction model’s best performance in the testing set was able to achieve 92.5% sensitivity, 97.3% specificity, 34.5% positive predictive value, 99.9% negative predictive value, and a positive likelihood ratio of 34.0, which indicates outstanding performance. The area under the receiver operating characteristic curve of the prediction model was 0.980 (95% CI, 0.974-0.987).

CONCLUSIONS AND RELEVANCE: This diagnostic study suggests that results of objective laboratory tests had the potential to be predictors of KD. Furthermore, these findings suggested that machine learning with XGBoost can help physicians differentiate children with KD from other febrile children in pediatric emergency departments with excellent sensitivity, specificity, and accuracy.

PMID:37040115 | DOI:10.1001/jamanetworkopen.2023.7489

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Trajectories of Chronic Disease and Multimorbidity Among Middle-aged and Older Patients at Community Health Centers

JAMA Netw Open. 2023 Apr 3;6(4):e237497. doi: 10.1001/jamanetworkopen.2023.7497.

ABSTRACT

IMPORTANCE: Health-related consequences of multimorbidity (≥2 chronic diseases) are well documented. However, the extent and rate of accumulation of chronic diseases among US patients seeking care in safety-net clinics are not well understood. These insights are needed to enable clinicians, administrators, and policy makers to mobilize resources for prevention of disease escalations in this population.

OBJECTIVES: To identify the patterns and rate of chronic disease accumulation among middle-aged and older patients seeking care in community health centers, as well as any sociodemographic differences.

DESIGN, SETTING, AND PARTICIPANTS: This cohort study used electronic health record data from January 1, 2012, to December 31, 2019, on 725 107 adults aged 45 years or older with 2 or more ambulatory care visits in 2 or more distinct years at 657 primary care clinics in the Advancing Data Value Across a National Community Health Center network in 26 US states. Statistical analysis was performed from September 2021 to February 2023.

EXPOSURES: Race and ethnicity, age, insurance coverage, and federal poverty level (FPL).

MAIN OUTCOMES AND MEASURES: Patient-level chronic disease burden, operationalized as the sum of 22 chronic diseases recommended by the Multiple Chronic Conditions Framework. Linear mixed models with patient-level random effects adjusted for demographic characteristics and ambulatory visit frequency with time interactions were estimated to compare accrual by race and ethnicity, age, income, and insurance coverage.

RESULTS: The analytic sample included 725 107 patients (417 067 women [57.5%]; 359 255 [49.5%] aged 45-54 years, 242 571 [33.5%] aged 55-64 years, and 123 281 [17.0%] aged ≥65 years). On average, patients started with a mean (SD) of 1.7 (1.7) morbidities and ended with 2.6 (2.0) morbidities over a mean (SD) of 4.2 (2.0) years of follow-up. Compared with non-Hispanic White patients, patients in racial and ethnic minoritized groups had marginally lower adjusted annual rates of accrual of conditions (-0.03 [95% CI, -0.03 to -0.03] for Spanish-preferring Hispanic patients; -0.02 [95% CI, -0.02 to -0.01] for English-preferring Hispanic patients; -0.01 [95% CI, -0.01 to -0.01] for non-Hispanic Black patients; and -0.04 [95% CI, -0.05 to -0.04] for non-Hispanic Asian patients). Older patients accrued conditions at higher annual rates compared with patients 45 to 50 years of age (0.03 [95% CI, 0.02-0.03] for 50-55 years; 0.03 [95% CI, 0.03-0.04] for 55-60 years; 0.04 [95% CI, 0.04-0.04] for 60-65 years; and 0.05 [95% CI, 0.05-0.05] for ≥65 years). Compared with those with higher income (always ≥138% of the FPL), patients with income less than 138% of the FPL (0.04 [95% CI, 0.04-0.05]), mixed income (0.01 [95% CI, 0.01-0.01]), or unknown income levels (0.04 [95% CI, 0.04-0.04]) had higher annual accrual rates. Compared with continuously insured patients, continuously uninsured and discontinuously insured patients had lower annual accrual rates (continuously uninsured, -0.003 [95% CI, -0.005 to -0.001]; discontinuously insured, -0.004 [95% CI, -0.005 to -0.003]).

CONCLUSIONS AND RELEVANCE: This cohort study of middle-aged patients seeking care in community health centers suggests that disease accrued at high rates for patients’ chronological age. Targeted efforts for chronic disease prevention are needed for patients near or below the poverty line.

PMID:37040114 | DOI:10.1001/jamanetworkopen.2023.7497