Time-Varying Effect Models for Examining Age-Dynamic Associations in Gerontological Research.

OBJECTIVES: Dynamic processes unfolding over later adulthood are of prime interest to gerontological researchers. Time-varying effect modeling (TVEM) accommodates dynamic change trajectories, but its use in gerontological research is limited. We introduce and demonstrate TVEM with an empirical example based on the National Health and Aging Trends Study (NHATS). METHODS: We examined (a) age-varying prevalence of past month elevated symptoms of depression and anxiety and (b) age-varying associations between older adults' elevated symptoms of depression and anxiety and needing help with basic activities of daily living and educational attainment. RESULTS: The proportion of participants reporting elevated symptoms of depression and anxiety in the past month increased gradually from 23-29% across the ages 70-92. Individuals needing help with ADLs had higher odds of reporting elevated symptoms of depression and anxiety, however the association was strongest for those in their 60s versus 80s. Across all ages, adults with lower education levels had higher odds of reporting elevated symptoms of depression and anxiety, an association that also varied by age. CONCLUSION: We demonstrated TVEM's value for studying dynamic associations that vary across chronological age. With the recent availability of free, user-friendly software for implementing TVEM, gerontological researchers have a new tool for exploring complex change processes that characterize older adults' development.

Perceived dementia risk and advance care planning among older adults.

BACKGROUND: Although advance care planning (ACP) is beneficial if dementia develops, and virtually all older adults are at risk for this disease, older adults do not consistently engage in ACP. Health behavior models have highlighted the importance of perceived susceptibility to medical conditions in motivating behavior. Following these models, we sought to determine how often older adults believe they are not at risk of developing dementia and to examine the association between perceived dementia risk and ACP participation. METHODS: We performed a cross-sectional study of community-dwelling adults without cognitive impairment, aged ≥65 years, who were interviewed for the Health and Retirement Study in 2016 and asked about their perceived dementia risk (n = 711). Perceived dementia risk was ascertained with this question: "on a scale of 0 to 100, what is the percent chance that you will develop dementia sometime in the future?" We used multivariable-adjusted logistic regression to evaluate the association between perceived risk (0% versus >0%) and completion of a living will, appointment of a durable power of attorney for healthcare decisions, and discussion of treatment preferences. RESULTS: Among respondents, 10.5% reported a perceived dementia risk of 0%. Perceived risk of 0% was associated with lower odds of completing a living will (OR 0.53; 95% CI, 0.30-0.93) and discussing treatment preferences (OR 0.51; 95% CI, 0.28-0.93) but not appointment of a durable power of attorney (OR 0.77; 95% CI, 0.42-1.39). Many respondents with perceived dementia risk >0% had not completed ACP activities, including a substantial minority of those with perceived risk >50%. CONCLUSIONS: Older adults with no perceived dementia risk are less likely to participate in several forms of ACP, but the fact that many older adults with high levels of perceived risk had not completed ACP activities suggests that efforts beyond raising risk awareness are needed to increase engagement.

Outcome Goals and Health Care Preferences of Older Adults With Multiple Chronic Conditions.

Importance: Older adults with multiple chronic conditions (MCCs) vary in their health outcome goals and the health care that they prefer to receive to achieve these goals. Objective: To describe the outcome goals and health care preferences of this population with MCCs. Design, Setting, and Participants: This cross-sectional study included participants in the Patient Priorities Care study who underwent health priorities identification from February 1, 2017, to August 31, 2018, in a primary care practice. Patients eligible to participate were 65 years or older, English speaking, and had at least 3 chronic conditions; in addition, they used at least 10 medications, saw at least 2 specialists, or had at least 2 emergency department visits or 1 hospitalization during the past year. Of 236 eligible patients, 163 (69%) agreed to participate in this study. Data were analyzed from August 1 to October 31, 2020. Exposures: Guided by facilitators, participants identified their core values, as many as 3 actionable and realistic outcome goals, health-related barriers to these goals, and as many as 3 helpful and 3 bothersome health care activities. Main Outcomes and Measures: Frequencies were ascertained for outcome goals and health care preferences. Preferences included health care activities (medications, health care visits, procedures, diagnostic tests, and self-management) reported as either helpful or bothersome. Results: Most of the 163 participants were White (158 [96.9%]) and women (109 [66.9%]), with a mean (SD) age of 77.6 (7.6) years. Of 459 goals, the most common encompassed meals and other activities with family and friends (111 [24.2%]), shopping (28 [6.1%]), and exercising (21 [4.6%]). Twenty individuals (12.3%) desired to live independently without specifying necessary activities. Of 312 barriers identified, the most common were pain (128 [41.0%]), fatigue (45 [14.4%]), unsteadiness (42 [13.5%]), and dyspnea (19 [6.1%]). Similar proportions of patients identified at least 1 medication that was helpful (130 [79.8%]) or bothersome (128 [78.5%]). Medications most commonly cited as helpful were pain medications, including nonopiods (36 of 55 users [65.5%]) and opioids (15 of 27 users [55.6%]); sleep medications (27 of 51 users [52.9%]); and respiratory inhalants (19 of 45 [42.2%]). Most often mentioned as bothersome were statins (25 of 97 users [25.8%]) and antidepressants (13 of 40 users [32.5%]). Thirty-two participants (19.6%) reported using too many medications. Health care visits were identified as helpful by 43 participants (26.4%); 15 (9.2%) reported too many visits. Procedures were named helpful by 38 participants (23.3%); 24 (14.7%) cited unwanted procedures. Among 48 participants with diabetes, monitoring of glucose levels was doable for 18 (37.5%) and too bothersome for 9 (18.8%). Conclusions and Relevance: Participants identified realistic and actionable goals while varying in health care activities deemed helpful or bothersome. The goals and health care preferences of more diverse populations must be explored. Previous work suggests that clinicians can use this information in decision-making.

Older Adults without Desired Surrogates in a Nationally Representative Sample.

BACKGROUND/OBJECTIVES: Little is known about older adults who have intact capacity but do not have a desired surrogate to make decisions if their capacity becomes impaired. DESIGN: Cross-sectional study of a nationally representative sample. SETTING: National Social Life, Health, and Aging Project (NSHAP), 2005-2006. PARTICIPANTS: Community-dwelling older adults without known cognitive impairment, aged 57 to 85, interviewed as part of NSHAP (n = 2,767). MEASUREMENTS: We examined demographic, medical, and social connectedness characteristics associated with answering "no" to this question: "Do you have someone who you would like to make medical decisions for you if you were unable, as for example if you were seriously injured or very sick?" Because many states permit nuclear family to make decisions for persons with no legally appointed health care agent, we used logistic regression to identify factors associated with individuals who were ill suited to this paradigm in the sense that they had nuclear family but did not have a desired surrogate. RESULTS: Among NSHAP respondents, 7.5% (95% confidence interval = 6.4-8.7) did not have a desired surrogate. Nearly 90% of respondents without desired surrogates had nuclear family. Compared with respondents with desired surrogates, those without desired surrogates had lower indicators of social connectedness. On average, however, they had four confidants, approximately 70% socialized at least monthly, and more than 90% could discuss their health with a confidant. Among respondents who had nuclear family, few characteristics distinguished those with and without desired surrogates. CONCLUSION: Nearly 8% of older adults did not have a desired surrogate. Most had nuclear family and were not socially disconnected. Older adults should be asked explicitly about a desired surrogate, and strategies are needed to identify surrogates for those who do not have family or would not choose family to make decisions for them.

Association of Patient Priorities-Aligned Decision-Making With Patient Outcomes and Ambulatory Health Care Burden Among Older Adults With Multiple Chronic Conditions: A Nonrandomized Clinical Trial.

Importance: Health care may be burdensome and of uncertain benefit for older adults with multiple chronic conditions (MCCs). Aligning health care with an individual's health priorities may improve outcomes and reduce burden. Objective: To evaluate whether patient priorities care (PPC) is associated with a perception of more goal-directed and less burdensome care compared with usual care (UC). Design, Setting, and Participants: Nonrandomized clinical trial with propensity adjustment conducted at 1 PPC and 1 UC site of a Connecticut multisite primary care practice that provides care to almost 15% of the state's residents. Participants included 163 adults aged 65 years or older who had 3 or more chronic conditions cared for by 10 primary care practitioners (PCPs) trained in PPC and 203 similar patients who received UC from 7 PCPs not trained in PPC. Participant enrollment occurred between February 1, 2017, and March 31, 2018; follow-up extended for up to 9 months (ended September 30, 2018). Interventions: Patient priorities care, an approach to decision-making that includes patients' identifying their health priorities (ie, specific health outcome goals and health care preferences) and clinicians aligning their decision-making to achieve these health priorities. Main Outcomes and Measures: Primary outcomes included change in patients' Older Patient Assessment of Chronic Illness Care (O-PACIC), CollaboRATE, and Treatment Burden Questionnaire (TBQ) scores; electronic health record documentation of decision-making based on patients' health priorities; medications and self-management tasks added or stopped; and diagnostic tests, referrals, and procedures ordered or avoided. Results: Of the 366 patients, 235 (64.2%) were female and 350 (95.6%) were white. Compared with the UC group, the PPC group was older (mean [SD] age, 74.7 [6.6] vs 77.6 [7.6] years) and had lower physical and mental health scores. At follow-up, PPC participants reported a 5-point greater decrease in TBQ score than those who received UC (ß [SE], -5.0 [2.04]; P = .01) using a weighted regression model with inverse probability of PCP assignment weights; no differences were seen in O-PACIC or CollaboRATE scores. Health priorities-based decisions were mentioned in clinical visit notes for 108 of 163 (66.3%) PPC vs 0 of 203 (0%) UC participants. Compared with UC patients, PPC patients were more likely to have medications stopped (weighted comparison, 52.0% vs 33.8%; adjusted odds ratio [AOR], 2.05; 95% CI, 1.43-2.95) and less likely to have self-management tasks (57.5% vs 62.1%; AOR, 0.59; 95% CI, 0.41-0.84) and diagnostic tests (80.8% vs 86.4%; AOR, 0.22; 95% CI, 0.12-0.40) ordered. Conclusions and Relevance: This study's findings suggest that patient priorities care may be associated with reduced treatment burden and unwanted health care. Care aligned with patients' priorities may be feasible and effective for older adults with MCCs. Trial Registration: ClinicalTrials.gov identifier: NCT03600389.

Challenges and strategies in patients' health priorities-aligned decision-making for older adults with multiple chronic conditions.

OBJECTIVES: While patients' health priorities should inform healthcare, strategies for doing so are lacking for patients with multiple conditions. We describe challenges to, and strategies that support, patients' priorities-aligned decision-making. DESIGN: Participant observation qualitative study. SETTING: Primary care and cardiology practices in Connecticut. PARTICIPANTS: Ten primary care clinicians, five cardiologists, and the Patient Priorities implementation team (four geriatricians, physician expert in clinician training, behavioral medicine expert). The patients discussed were ≥ 66 years with >3 chronic conditions and ≥10 medications or saw ≥ two specialists. EXPOSURE: Following initial training and experience in providing Patient Priorities Care, the clinicians and Patient Priorities implementation team participated in 21 case-based, group discussions (10 face-to-face;11 telephonic). Using emergent learning (i.e. learning which arises from interactions among the participants), participants discussed challenges, posed solutions, and worked together to determine how to align care options with the health priorities of 35 patients participating in the Patient Priorities Care pilot. MAIN OUTCOMES: Challenges to, and strategies for, aligning decision-making with patient's health priorities. RESULTS: Categories of challenges discussed among participants included uncertainty, complexity, and multiplicity of problems and treatments; difficulty switching to patients' priorities as the focus of decision-making; and differing perspectives between patients and clinicians, and among clinicians. Strategies identified to support patient priorities-aligned decision-making included starting with one thing that matters most to each patient; conducting serial trials of starting, stopping, or continuing interventions; focusing on function (i.e. achieving patient's desired activities) rather than eliminating symptoms; basing communications, decision-making, and effectiveness on patients' priorities not solely on diseases; and negotiating shared decisions when there are differences in perspectives. CONCLUSIONS: The discrete set of challenges encountered and the implementable strategies identified suggest that patient priorities-aligned decision-making in the care of patients with multiple chronic conditions is feasible, albeit complicated. Findings require replication in additional settings and determination of their effect on patient outcomes.

Perspectives of Patients in Identifying Their Values-Based Health Priorities.

OBJECTIVES: Patient Health Priorities Identification (PHPI) is a values-based process in which trained facilitators assist older adults with multiple chronic conditions identify their health priorities. The purpose of this study was to evaluate patients' perceptions of PHPI. DESIGN: Qualitative study using thematic analysis. SETTING: In-depth semistructured telephone and in-person interviews. PARTICIPANTS: Twenty-two older adults who participated in the PHPI process. MEASUREMENTS: Open-ended questions about patient perceptions of the PHPI process, perceived benefits of the process, enablers and barriers to PHPI, and recommendations for process enhancement. RESULTS: Patient interviews ranged from 9 to 63 minutes (median = 20 min; interquartile range = 15-26). The mean age was 80 years (standard deviation = 7.96), 64% were female, and all patients identified themselves as white. Of the sample, 73% reported no caregiver involvement in their healthcare; 36% lived alone. Most patients felt able to complete the PHPI process with ease. Perceived benefits included increased knowledge and insight into disease processes and treatment options, patient activation, and enhanced communication with family and clinicians. Patients identified several factors that were both enablers and barriers to PHPI including facilitator characteristics, patient demographic and clinical characteristics, social support, relationships between the patient and their primary care provider, and the changing health priorities of the patient. Recommendations for process enhancement included more frequent and flexible facilitator contacts, selection of patients for participation based on specific patient characteristics, clarification of process aims and expectations, involvement of family, written reminders of established health priorities, short duration between facilitation and primary care provider follow-up, and the inclusion of health-related tasks in facilitation visits. CONCLUSIONS: Patients found the PHPI process valuable in identifying actionable health priorities and healthcare goals leading to enhanced knowledge, activation, and communication regarding their treatment options and preferences. PHPI may be useful for aligning the healthcare that patients receive with their values-based priorities.

Feasibility of Implementing Patient Priorities Care for Older Adults with Multiple Chronic Conditions.

Older adults with multiple chronic conditions (MCCs) receive care that is fragmented and burdensome, lacks evidence, and most importantly is not focused on what matters most to them. An implementation feasibility study of Patient Priorities Care (PPC), a new approach to care that is based on health outcome goals and healthcare preferences, was conducted. This study took place at 1 primary care and 1 cardiology practice in Connecticut and involved 9 primary care providers (PCPs), 5 cardiologists, and 119 older adults with MCCs. PPC was implemented using methods based on a practice change framework and continuous plan-do-study-act (PDSA) cycles. Core elements included leadership support, clinical champions, priorities facilitators, training, electronic health record (EHR) support, workflow development and continuous modification, and collaborative learning. PPC processes for clinic workflow and decision-making were developed, and clinicians were trained. After 10 months, 119 older adults enrolled and had priorities identified; 92 (77%) returned to their PCP after priorities identification. In 56 (46%) of these visits, clinicians documented patient priorities discussions. Workflow challenges identified and solved included patient enrollment lags, EHR documentation of priorities discussions, and interprofessional communication. Time for clinicians to provide PPC remains a challenge, as does decision-making, including clinicians' perceptions that they are already doing so; clinicians' concerns about guidelines, metrics, and unrealistic priorities; and differences between PCPs and patients and between PCPs and cardiologists about treatment decisions. PDSA cycles and continuing collaborative learning with national experts and peers are taking place to address workflow and clinical decision-making challenges. Translating disease-based to priorities-aligned decision-making appears challenging but feasible to implement in a clinical setting.

Clinical correlates of prescription opioid analgesic use in pregnancy.

A 2012 committee opinion from the American College of Obstetricians and Gynecologists highlights the considerable increase in opioid addiction in recent years, yet little is known about clinical correlates of prescribed opioids among pregnant women. This study examines clinical and demographic factors associated with the use of opioid analgesics in pregnancy. Data were derived from a prospective cohort study of pregnant women. Participants were administered the Composite International Diagnostic Interview to identify depressive and anxiety disorders and data on medication use were gathered at three assessment points and classified according to the Anatomical Therapeutic Chemical Code (ATC) classification system ATC group N02A. Participants included 2,748 English or Spanish speaking pregnant women. Six percent (n = 165) of women used opioid analgesics at any point in pregnancy. More pregnant women using opioids met diagnostic criteria for major depressive disorder (16 vs. 8 % for non users), generalized anxiety disorder (18 vs. 9 % for non users), post-traumatic stress disorder (11 vs. 4 % for non users) and panic disorder (6 vs. 4 % for non users). Women who reported opioid use were also significantly more likely than non users to report using illicit drugs and almost three times as likely to report smoking cigarettes in the second or third trimester of pregnancy (4 and 23 %, respectively) as compared to non-opioid users (0.5 and 8 %). The use of opioids in pregnancy was associated with higher levels of psychiatric comorbidity and use of other substances as compared to non-opioid users.

Pregnant women with posttraumatic stress disorder and risk of preterm birth.

IMPORTANCE: Posttraumatic stress disorder (PTSD) occurs in about 8% of pregnant women. Stressful conditions, including PTSD, are inconsistently linked to preterm birth. Psychotropic treatment has been frequently associated with preterm birth. Identifying whether the psychiatric illness or its treatment is independently associated with preterm birth may help clinicians and patients when making management decisions. OBJECTIVE: To determine whether a likely diagnosis of PTSD or antidepressant and benzodiazepine treatment during pregnancy is associated with risk of preterm birth. We hypothesized that pregnant women who likely had PTSD and women receiving antidepressant or anxiolytic treatment would be more likely to experience preterm birth. DESIGN, SETTING, AND PARTICIPANTS: Longitudinal, prospective cohort study of 2654 women who were recruited before 17 completed weeks of pregnancy from 137 obstetrical practices in Connecticut and Western Massachusetts. EXPOSURES: Posttraumatic stress disorder, major depressive episode, and use of antidepressant and benzodiazepine medications. MAIN OUTCOMES AND MEASURES: Preterm birth, operationalized as delivery prior to 37 completed weeks of pregnancy. Likely psychiatric diagnoses were generated through administration of the Composite International Diagnostic Interview and the Modified PTSD Symptom Scale. Data on medication use were gathered at each participant interview. RESULTS: Recursive partitioning analysis showed elevated rates of preterm birth among women with PTSD. A further split of the PTSD node showed high rates for women who met criteria for a major depressive episode, which suggests an interaction between these 2 exposures. Logistic regression analysis confirmed risk for women who likely had both conditions (odds ratio [OR], 4.08 [95% CI, 1.27-13.15]). For each point increase on the Modified PTSD Symptom Scale (range, 0-110), the risk of preterm birth increased by 1% to 2%. The odds of preterm birth are high for women who used a serotonin reuptake inhibitor (OR, 1.55 [95% CI, 1.02-2.36]) and women who used a benzodiazepine medication (OR, 1.99 [95% CI, 0.98-4.03]). CONCLUSIONS AND RELEVANCE: Women with likely diagnoses of both PTSD and a major depressive episode are at a 4-fold increased risk of preterm birth; this risk is greater than, and independent of, antidepressant and benzodiazepine use and is not simply a function of mood or anxiety symptoms.

Trajectories of smoking from adolescence to early adulthood and their psychosocial risk factors.

OBJECTIVE: To explore patterns of persistence and change in smoking behavior as well as risk factors associated with the developmental course of smoking from age 13 to 25. DESIGN: Data from the public use sample of the National Longitudinal Study of Adolescent Health (N = 5,789) were analyzed using semiparametric group-based modeling. MAIN OUTCOME MEASURES: Smoking quantity-frequency in the past 30 days. RESULTS: Six distinct smoking trajectories were identified: nonsmokers, experimenters, stable light smokers, quitters, late escalators, and stable high smokers. Baseline risk factors that were associated with greater likelihood of membership in all of the smoking trajectory groups compared with nonsmokers included alcohol use, deviance, peer smoking, and (with the exception of the late escalators) drug use. Deviance, peer smoking, and alcohol and drug use also distinguished the likelihood of membership among several of the 5 smoking trajectory groups. CONCLUSION: The results add to basic etiologic research on developmental pathways of smoking in adolescence and young adulthood by providing evidence of heterogeneity in smoking behavior and prospectively linking different patterns of risk factors with the probability of trajectory group membership.

Risk and protective factors associated with trajectories of depressed mood from adolescence to early adulthood.

This study used semi-parametric group-based modeling to explore unconditional and conditional trajectories of self-reported depressed mood from ages 12 to 25 years. Drawing on data from the National Longitudinal Study of Adolescent Health (N = 11,559), 4 distinct trajectories were identified: no depressed mood, stable low depressed mood, early high declining depressed mood, and late escalating depressed mood. Baseline risk factors associated with greater likelihood of membership in depressed mood trajectory groups compared with the no depressed mood group included being female, Black or African American, Hispanic or Latino American, or Pacific Islander or Asian American; having lower socioeconomic status; using alcohol, tobacco, or other drugs on a weekly basis; and engaging in delinquent behavior. Baseline protective factors associated with greater likelihood of membership in the no depressed mood group compared with the depressed mood trajectory groups included 2-parent family structure; feeling connected to parents, peers, or school; and self-esteem. With the exception of delinquent behavior, risk and protective factors also distinguished the likelihood of membership among several of the 3 depressed mood groups. The results add to basic etiologic research regarding developmental pathways of depressed mood in adolescence and young adulthood.

Confirmatory factor analysis of the Nicotine Dependence Syndrome Scale in an American college sample of light smokers.

The five-factor structure of the Nicotine Dependence Syndrome Scale (NDSS) obtained with samples of mature, heavy smokers has not been replicated in samples of younger, less experienced smokers. Furthermore, the idea that the interrelationships among the NDSS factors are best explained by a single higher-order factor (nicotine dependence) has not been evaluated empirically. This study examined the first- and second-order factor structure of the NDSS in a first-year college sample of light smokers (N = 154). NDSS measures completed at the end of the first semester of college were analyzed using confirmatory factor analysis. The hypothesized five-factor model provided adequate fit to the data. The second-order factor model did not fit the data as well as the correlated first-order factor model, suggesting that an overarching dependence factor may not account for the interrelationships among the five first-order factors. This study provided support for the multidimensional structure of the NDSS among a first-year college sample of light smokers.

Predictive validity of four nicotine dependence measures in a college sample.

BACKGROUND: The present study compared the predictive and incremental validity of four commonly used dependence measures (Diagnostic and Statistical Manual-IV [DSM-IV] nicotine dependence criteria, Fagerstrom Test for Nicotine Dependence [FTND], Hooked On Nicotine Checklist [HONC], Nicotine Dependence Syndrome Scale [NDSS]) in a first year college sample reporting light smoking patterns. METHODS: Nicotine dependence measures were administered at the end of the first semester and follow-up smoking behavior (i.e. continued smoking, quantity, frequency, and length of abstinence) was assessed at the end of the first and second academic years. RESULTS: Higher levels of dependence as measured by the HONC and DSM-IV predicted smoking behavior at both follow-up assessments. While higher scores on some of the NDSS factors predicted heavier smoking behavior during follow-up assessments, higher scores on other NDSS factors predicted lighter smoking behavior. The DSM-IV, NDSS-priority, and HONC measures provided some evidence for incremental validity. Higher dependence scores on all four measures were related to shorter lengths of smoking abstinence. CONCLUSIONS: The four dependence measures were differentially related to smoking behavior outcomes in a light smoking sample. These findings suggest that nicotine dependence can predict a variety of smoking behaviors in light smokers.

Testing the dual pathway hypothesis to substance use in adolescence and young adulthood.

BACKGROUND: We tested the dual pathway hypothesis to substance use which posits that substance use can develop via internalizing symptoms or deviant behaviors. METHOD: Using data from the Add Health study, we used latent class analysis to define subgroups based on patterns of substance use, and logistic regression procedures to evaluate the prospective association between symptoms of depression, deviance, and the individual substance use patterns. RESULTS: Groups representing similar patterns of substance use were identified in both adolescence and young adulthood. Some support for the dual pathway hypothesis was demonstrated. Deviance was prospectively associated with substance group assignment in both adolescence and young adulthood, while depression uniquely predicted assignment to the smoking group in young adulthood among females. CONCLUSIONS: Further testing of the dual pathway hypothesis should be built on diverse pattern-centered approaches able to explore the presence of population subgroups.