Motivation and attitudes toward changing health (MATCH): A new patient-reported measure to inform clinical conversations.

ObjectiveTo identify and assess patient motivation to initiate or maintain behavior changes.MethodsAttitudinal statements were developed from structured patient interviews and translated into 18 survey items. Items were analyzed with exploratory factor analysis (EFA).ResultsAn EFA with 340 type 2 diabetes patients identified three areas of patient attitudes toward changing health behaviors: (1) willingness to make changes (3 items; α = 0.69), (2) perceived ability to make or maintain changes (3 items; α = 0.74), and (3) and feeling changes are worthwhile (3 items; α = 0.61). Greater perceived ability and feelings of worthwhileness were associated with positive psychosocial and behavioral management indicators. All three areas were associated with confidence and attitudes toward making a specific behavioral change (e.g., improve diet).ConclusionsMATCH is an internally consistent and valid 9-item scale that provides a profile of factors influencing motivation that can be used in clinical and research settings

When is diabetes distress clinically meaningful?: establishing cut points for the Diabetes Distress Scale.

ObjectiveTo identify the pattern of relationships between the 17-item Diabetes Distress Scale (DDS17) and diabetes variables to establish scale cut points for high distress among patients with type 2 diabetes.Research design and methodsRecruited were 506 study 1 and 392 study 2 adults with type 2 diabetes from community medical groups. Multiple regression equations associated the DDS17, a 17-item scale that yields a mean-item score, with HbA(1c), diabetes self-efficacy, diet, and physical activity. Associations also were undertaken for the two-item DDS (DDS2) screener. Analyses included control variables, linear, and quadratic (curvilinear) DDS terms.ResultsSignificant quadratic effects occurred between the DDS17 and each diabetes variable, with increases in distress associated with poorer outcomes: study 1 HbA(1c) (P < 0.02), self-efficacy (P < 0.001), diet (P < 0.001), physical activity (P < 0.04); study 2 HbA(1c) (P < 0.03), self-efficacy (P < 0.004), diet (P < 0.04), physical activity (P = NS). Substantive curvilinear associations with all four variables in both studies began at unexpectedly low levels of DDS17: the slope increased linearly between scores 1 and 2, was more muted between 2 and 3, and reached a maximum between 3 and 4. This suggested three patient subgroups: little or no distress, <2.0; moderate distress, 2.0-2.9; high distress, ≥3.0. Parallel findings occurred for the DDS2.ConclusionsIn two samples of type 2 diabetic patients we found a consistent pattern of curvilinear relationships between the DDS and HbA(1c), diabetes self-efficacy, diet, and physical activity. The shape of these relationships suggests cut points for three patient groups: little or no, moderate, and high distress

Screening for Park Access during a Primary Care Social Determinants Screen.

While there is evidence that access to nature and parks benefits pediatric health, it is unclear how low-income families living in an urban center acknowledge or prioritize access to parks.MethodsWe conducted a study about access to parks by pediatric patients in a health system serving low-income families. Adult caregivers of pediatric patients completed a survey to identify and prioritize unmet social and economic needs, including access to parks. Univariate and multivariate analyses were conducted to explore associations between lack of access to parks and sociodemographic variables. We also explored the extent to which access to parks competed with other needs.ResultsThe survey was completed by 890 caregivers; 151 (17%) identified "access to green spaces/parks/playgrounds" as an unmet need, compared to 397 (45%) who endorsed "running out of food before you had money or food stamps to buy more". Being at or below the poverty line doubled the odds ( Odds ratio 1.96, 95% CI 1.16-3.31) of lacking access to a park (reference group: above the poverty line), and lacking a high school degree nearly doubled the odds. Thirty-three of the 151 (22%) caregivers who identified access to parks as an unmet need prioritized it as one of three top unmet needs. Families who faced competing needs of housing, food, and employment insecurity were less likely to prioritize park access (p < 0.001).ConclusionClinical interventions to increase park access would benefit from an understanding of the social and economic adversity faced by patients

An online experiment to assess bias in professional medical coding.

BackgroundMultiple studies have documented bias in medical decision making, but no studies have examined whether this bias extends to medical coding practices. Medical coding is foundational to the US health care enterprise. We evaluate whether bias based on patient characteristics influences specific coding practices of professional medical coders.MethodsThis is an online experimental study of members of a national professional medical coding organization. Participants were randomly assigned a set of six clinical scenarios reflecting common medical conditions and asked to report encounter level of service codes for these clinical scenarios. Clinical scenarios differed by patient demographics (race, age, gender, ability) or social context (food insecurity, housing security) but were otherwise identical. We estimated Ordinary Least Squares regression models to evaluate differences in outcome average visit level of service by patient demographic characteristics described in the clinical scenarios; we adjusted for coders' age, gender, race, and years of coding experience.ResultsThe final analytic sample included 586 respondents who coded at least one clinical scenario. Higher mean level of service was assigned to clinical scenarios describing seniors compared to middle-aged patients in two otherwise identical scenarios, one a patient with type II diabetes mellitus (Coef: 0.28, SE: 0.15) and the other with rheumatoid arthritis (Coef: 0.30, SE: 0.13). Charts describing women were assigned lower level of service than men in patients with asthma exacerbation (Coef: -0.25, SE: 0.13) and rheumatoid arthritis (Coef: -0.20, SE: 0.12). There were no other significant differences in mean complexity score by patient demographics or social needs.ConclusionWe found limited evidence of bias in professional medical coding practice by patient age and gender, though findings were inconsistent across medical conditions. Low levels of observed bias may reflect medical coding workflow and training practices. Future research is needed to better understand bias in coding and to identify effective and generalizable bias prevention practices

Self-management support for chronic disease in primary care: frequency of patient self-management problems and patient reported priorities, and alignment with ultimate behavior goal selection.

BackgroundTo enable delivery of high quality patient-centered care, as well as to allow primary care health systems to allocate appropriate resources that align with patients' identified self-management problems (SM-Problems) and priorities (SM-Priorities), a practical, systematic method for assessing self-management needs and priorities is needed. In the current report, we present patient reported data generated from Connection to Health (CTH), to identify the frequency of patients' reported SM-Problems and SM-Priorities; and examine the degree of alignment between patient SM-Priorities and the ultimate Patient-Healthcare team member selected Behavioral Goal.MethodsCTH, an electronic self-management support system, was embedded into the flow of existing primary care visits in 25 primary care clinics and was used to assess patient-reported SM-Problems across 12 areas, patient identified SM-Priorities, and guide the selection of a Patient-Healthcare team member selected Behavioral Goal. SM-Problems included: BMI, diet (fruits and vegetables, salt, fat, sugar sweetened beverages), physical activity, missed medications, tobacco and alcohol use, health-related distress, general life stress, and depression symptoms. Descriptive analyses documented SM-Problems and SM-Priorities, and alignment between SM-Priorities and Goal Selection, followed by mixed models adjusting for clinic.Results446 participants with ≥ one chronic diseases (mean age 55.4 ± 12.6; 58.5% female) participated. On average, participants reported experiencing challenges in 7 out of the 12 SM-Problems areas; with the most frequent problems including: BMI, aspects of diet, and physical activity. Patient SM-Priorities were variable across the self-management areas. Patient- Healthcare team member Goal selection aligned well with patient SM-Priorities when patients prioritized weight loss or physical activity, but not in other self-management areas.ConclusionParticipants reported experiencing multiple SM-Problems. While patients show great variability in their SM-Priorities, the resulting action plan goals that patients create with their healthcare team member show a lack of diversity, with a disproportionate focus on weight loss and physical activity with missed opportunities for using goal setting to create targeted patient-centered plans focused in other SM-Priority areas. Aggregated results can assist with the identification of high frequency patient SM-Problems and SM-Priority areas, and in turn inform resource allocation to meet patient needs.Trial registrationClinicalTrials.gov ID: NCT01945918

Mental health pathways from interpersonal violence to health-related outcomes in HlV-Positive sexual minorify men

Objective: We examined mental health pathways between interpersonal violence (IPV) and healthrelated outcomes in HIV-positive sexual minority men engaged with medical care. Method: HIV-positive gay and bisexual men (N ϭ 178) were recruited for this cross-sectional study from 2 public HIV primary care clinics that treated outpatients in an urban setting. Participants (M age ϭ 44.1 years, 36% non-White) filled out a computer-assisted survey and had health-related data extracted from their electronic medical records. We used structural equation modeling to test associations among the latent factors of adult abuse and partner violence (each comprising indicators of physical, sexual, and psychological abuse) and the measured variables: viral load, health-related quality of life (HRQOL), HIV medication adherence, and emergency room (ER) visits. Mediation was tested for the latent construct mental health problems, comprising depression, anxiety, symptomatology of posttraumatic stress disorder, and suicidal ideation. Results: The final model demonstrated acceptable fit, 2 (123) ϭ 157.05, p ϭ .02, CFI ϭ .95, TLI ϭ .94, RMSEA ϭ .04, SRMR ϭ .06, accounting for significant portions of the variance in viral load (13%), HRQOL (41%), adherence (7%), and ER visits (9%), as well as the latent variable mental health problems (24%). Only 1 direct link emerged: a positive association between adult abuse and ER visits. Conclusions: Findings indicate a significant role of IPV and mental health problems in the health of people living with HIV/AIDS. HIV care providers should assess for IPV history and mental health problems in all patients and refer for evidence-based psychosocial treatments that include a focus on health behaviors

Using the Teamlet Model to Improve Chronic Care in an Academic Primary Care Practice

Team care can improve management of chronic conditions, but implementing a team approach in an academic primary care clinic presents unique challenges. To implement and evaluate the Teamlet Model, which uses health coaches working with primary care physicians to improve care for patients with diabetes and/or hypertension in an academic practice. Process and outcome measures were compared before and during the intervention in patients seen with the Teamlet Model and in a comparison patient group. First year family medicine residents, medical assistants, health workers, and adult patients with either type 2 diabetes or hypertension in a large public health clinic. Health coaches, in coordination with resident primary care physicians, met with patients before and after clinic visits and called patients between visits. Measurement of body mass index, assessment of smoking status, and formulation of a self-management plan prior to and during the intervention period for patients in the Teamlet Model group. Testing for LDL and HbA1C and the proportion of patients at goal for blood pressure, LDL, and HbA1C in the Teamlet Model and comparison groups in the year prior to and during implementation. Teamlet patients showed improvement in all measures, though improvement was significant only for smoking, BMI, and self-management plan documentation and testing for LDL (p = 0.02), with a trend towards significance for LDL at goal (p = 0.07). Teamlet patients showed a greater, but non-significant, increase in the proportion of patients tested for HbA1C and proportion reaching goal for blood pressure, HgbA1C, and LDL compared to the comparison group patients. The difference for blood pressure was marginally significant (p = 0.06). In contrast, patients in the comparison group were significantly more likely to have had testing for LDL (P = 0.001). The Teamlet Model may improve chronic care in academic primary care practices

Effective interventions for reducing Diabetes Distress:systematic review and meta-analysis

AIMS: To identify randomised controlled trials (RCTs) in which diabetes distress (DD) was assessed in adults under experimental conditions and to undertake meta-analysis of intervention components to determine effective interventions for reducing DD. METHODS: Systematic review searching Medline, Psychinfo and Embase to March 2013 for studies measuring DD. Two reviewers assessed citations and full papers for eligibility based on RCT design and Problem Areas in Diabetes Scale or Diabetes Distress Scale outcome measure. Interventions were categorised by content and medium of delivery. Meta-analyses were undertaken by intervention category where ≥7 studies were available. Standardised mean differences and 95% confidence intervals were computed and combined in a random effects meta-analysis. RESULTS: Of 16 627 citations reviewed, 41 RCTs involving 6650 participants were included. Twenty-one a priori meta-analyses were undertaken. Effective interventions were psycho-education (−0.21 [−0.33, −0.09]), generalist interventionist (−0.19 [−0.31, −0.08]), ≥6 sessions (−0.14 [−0.26, −0.03]) and ≥3 months duration (−0.14 [−0.24, −0.03]). Motivational interviewing reduced DD (−0.09 [−0.18, −0.00]) and improved baseline elevated glycaemia (−0.16 [−0.28, −0.04]). Although statistical significance was observed most effect sizes were below 0.2. CONCLUSION: The review signposts interventions likely to reduce elevated DD in Type 1 and Type 2 and across the age profile. Interventional research is needed and warranted targeting elevated distress