Patient-centered medical home technology effects on hypertension and diabetes control

Background: Hypertension and Diabetes is a public health and economic concern in the United States. The utilization of medical home concepts increases the receipt of preventive services, however, do they also increase adherence to treatments? This study examined the effect of patient-centered medical home technologies such as the electronic health record, clinical support system, and web-based care management in improving health outcomes related to hypertension and diabetes. Methods: A systematic review of the literature used a best evidence synthesis approach to address the general question " Do patient-centered medical home technologies have an effect of diabetes and hypertension treatment?" This was followed by an evaluation of specific examples of the technologies utilized such as computer-assisted recommendations and web-based care management provided by the patient's electronic health record. Ebsco host, Ovid host, and Google Scholar were the databases used to conduct the literature search. Results: The initial search identified over 25 studies based on content and quality that implemented technology interventions to improve communication between provider and patient. After further assessing the articles for risk of bias and study design, 13 randomized controlled studies were chosen. All of the studies chosen were conducted in various primary care settings in both private practices and hospitals between the years 2000 and 2007. The sample sizes of the studies ranged from 42 to 2924 participants. The mean age for all of the studies ranged from 56 to 71 years. The percent women in the studies ranged from one to 78 percent. Over one-third of the studies did not provide the racial composition of the participants. For the seven studies that did provide information about the ethnic composition, 64% of the intervention participants were White. All of the studies utilized some type of web-based or computer-based communication to manage hypertension or diabetes care. Findings on outcomes were mixed, with nine out of 13 studies showing no significant effect on outcomes examined, and four of the studies showing significant and positive impact on health outcomes related to hypertension or diabetes Conclusion: Although the technologies improved patient and provider satisfaction, the outcomes measures such as blood pressure control and glucose control were inconclusive. Further research is needed with diverse ethnic and SES population to investigate the role of patient-centered technologies on hypertension and diabetes control. Also, further research is needed to investigate the effects of innovative medical home technologies that can be used by both patients and providers to increase quality of communication concerning adherence to treatments.^

Global practice experience: A useful lens for understanding patient and staff perceptions of successful integration of health information technology in primary care

Making healthcare comprehensive and more efficient remains a complex challenge. Health Information Technology (HIT) is recognized as an important component of this transformation but few studies describe HIT adoption and it's effect on the bedside experience by physicians, staff and patients. This study applied descriptive statistics and correlation analysis to data from the Patient-Centered Medical Home National Demonstration Project (NDP) of the American Academy of Family Physicians. Thirty-six clinics were followed for 26 months by clinician/staff questionnaires and patient surveys. This study characterizes those clinics as well as staff and patient perspectives on HIT usefulness, the doctor-patient relationship, electronic medical record (EMR) implementation, and computer connections in the practice throughout the study. The Global Practice Experience factor, a composite score related to key components of primary care, was then correlated to clinician and patient perspectives. This study found wide adoption of HIT among NDP practices. Patient perspectives on HIT helpfulness on the doctor-patient showed a suggestive trend that approached statistical significance (p = 0.172). Clinicians and staff noted successful integration of EMR into clinic workflow and their perception of helpfulness to the doctor-patient relationship show a suggestive increase also approaching statistical significance (p=0.06). GPE was correlated with clinician/staff assessment of a helpful doctor-patient relationship midway through the study (R 0.460, p = 0.021) with the remaining time points nearing statistical significance. GPE was also correlated to both patient perspectives of EMR helpfulness in the doctor-patient relationship (R 0.601, p = 0.001) and computer connections (R 0.618, p = 0.0001) at the start of the study. ^

Doctor-patient communication in the medical interaction: Context, implications, and practice

Effective communication; whether from an interpersonal, mass media, or global perspective, is a critical component in public health. It is an essential conduit in increasing public awareness of available health resources, potential health hazards and related disease prevention strategies, and in delivering better health care. Within this context, available literature asserts doctor-patient communication as central to healthcare delivery. It has been shown to affect patient health outcomes, satisfaction with care, adherence to treatment recommendations, and even understanding of medical information. While research supports the essential imperative of interventions aimed at teaching doctors and patients the communication skills necessary for a successful and meaningful medical interaction, most interventions to date, focus on teaching these communication skills to doctors and seem to rely, largely, on mass media for providing patients with the information needed to increase communication efficacy. This study sought to fill a significant gap in the doctor-patient communication literature by reviewing the context of the doctor-patient exchange in the medical interaction, the implications of this exchange in resulting care of the patient, and the potential improvements to practice through interventions aimed at improving the communication exchange. Closing with an evaluation of a patient-centered communication intervention, the “How to Talk to Your Doctor” (HTTTYD) program that combines previously identified optimal strategies for improving communication between doctors and patients, this study examined the patients’ perspective of their potential as better communicators in the medical interaction. ^ Specific Aims, Hypotheses or Questions (Aim I) To examine the context of health communication within a public health framework and its relation to health care delivery. (Aim II) To review doctor-patient communication as a central focus within health care delivery and the resulting implications to patient care. (Aim III) To assess the utility of interventions to improve doctor-patient communication. Specifically, to evaluate the effectiveness of a patient-centered community education intervention, the “How to Talk to Your Doctor” (HTTTYD) program, aimed at improving patient communication efficacy.^

Measuring value in cancer-related health care: A case study in head and neck cancer

In the current climate of escalating health care costs, defining value and accurately measuring it are two critical issues affecting not only the future of cancer care in particular but also the future of health care in general. Specifically, measuring and improving value in cancer-related health care are critical for continued advancements in research, management, and overall delivery of care. However, in oncology, most of this research has focused on value as it relates to insurance industry and payment reform, with little attention paid to value as the output of clinical interventions that encompass integrated clinical teams focusing on the entire cycle of care and measuring objective outcomes that are most relevant to patients. ^ In this study, patient-centered value was defined as health outcomes achieved per dollar spent, and calculated using objective functional outcomes and total care costs. The analytic sample comprised patients diagnosed with three common head and neck cancers—cancer of the larynx, oral cavity, and oropharynx—who were treated in an integrated tertiary care center over an approximately 10-year period. The results of this study provide initial empirical data that can be used to assess and ultimately to help improve the quality and value of head and neck cancer care, and more importantly they can be used by patients and clinicians to make better-informed decisions about care, particularly what therapeutic services and outcomes matter the most to patients.^

Intervening to reach adolescents and affect health

Background. Assessing the health status of adolescents is challenging for health care providers. Personal disclosure has been associated with improved health outcomes. Story-centered care was examined as an intervention for promoting adolescent disclosure during an urgent care visit. ^ Objectives. This study explored: (1) the effectiveness of story-centered care for promoting adolescent disclosure; (2) health-associated words used by adolescents to describe pressing concerns after an urgent care visit when they had standard care (SC) or story-centered care (SCC) conducted by a Nurse Practitioner (NP). ^ Methods. Subjects were randomly assigned to SC or SCC. In SC, adolescent presenting concerns were identified and treated. In SCC, presenting concerns were treated and NP-adolescent dialogue, facilitated through a screening tool, queried matters of importance to adolescent life. After the visit, adolescents wrote about pressing concerns for 15 minutes. Written words were analyzed with Linguistic Inquiry and Word Count, a software program for analyzing narrative. Ratios were calculated for the number of words (adolescent: NP) used during the urgent care visit. Analysis of variance (ANOVA) was used to evaluate gender-intervention differences in health-associated words. ^ Results. One hundred and six adolescents [Hispanic (65%), White (35%)] completed the study. Fifty-five were female; the average age was 17 (sd = 2.1) years. ^ Adolescents in the story intervention used more words (adolescent: NP, 1:1.3) than those in standard intervention (adolescent: NP, 1:2.7) in proportion to the number of words used by the NP during the urgent care visit. There were gender-intervention differences (p < .01) in positive emotion words and past-tense words in writings about pressing concerns. Males who received the story intervention used more positive emotion and less past-tense words than adolescent males with standard care. Females used more social words (p < .01) in their writings regardless of intervention group. ^ Conclusion. SCC enhanced adolescent disclosure during an urgent care visit. Adolescents will talk to health care providers during episodic visits and males may benefit more than girls may from this approach. Evidence suggests there is value in attending to both presenting and pressing concerns of adolescents. ^

Evaluation of Knowledge Regarding Diagnostic Strategies for Genetic Diseases in Select Residents

Genetics education for physicians has been a popular publication topic in the United States and in Europe for over 20 years. Decreasing numbers of medical genetics professionals and an increasing volume of genetic information has created a dire need for increased genetics training in medical school and in clinical practice. This study aimed to assess how well pediatrics-focused primary care physicians apply their general genetics knowledge to clinical genetic testing using scenario-based questions. We chose to specifically focus on knowledge of the diagnostic applicability of Chromosomal Microarray (CMA) technology in pediatrics because of its recent recommendation by the International Standard Cytogenomic Array (ISCA) Consortium as a first-tier genetic test for individuals with developmental disabilities and/or congenital anomalies. Proficiency in ordering baseline genetic testing was evaluated for eighty-one respondents from four pediatrics-focused residencies (categorical pediatrics, pediatric neurology, internal medicine/pediatrics, and family practice) at two large residency programs in Houston, Texas. Similar to other studies, we found an overall deficit of genetic testing knowledge, especially among family practice residents. Interestingly, residents who elected to complete a genetics rotation in medical school scored significantly better than expected, as well as better than residents who did not elect to complete a genetics rotation. We suspect that the insufficient knowledge among physicians regarding a baseline genetics work-up is leading to redundant (i.e. concurrent karyotype and CMA) and incorrect (i.e. ordering CMA to detect achondroplasia) genetic testing and is contributing to rising health care costs in the United States. Our results provide specific teaching points upon which medical schools can focus education about clinical genetic testing and suggest that increased collaboration between primary care physicians and genetics professionals could benefit patient health care overall.

THE MULTIPLE LOCATION TIME WEIGHTED INDEX: USING PATIENT ACTIVITY SPACES TO CALCULATE PRIMARY CARE SERVICE AREAS

Geographic health planning analyses, such as service area calculations, are hampered by a lack of patient-specific geographic data. Using the limited patient address information in patient management systems, planners analyze patient origin based on home address. But activity space research done sparingly in public health and extensively in non-health related arenas uses multiple addresses per person when analyzing accessibility. Also, health care access research has shown that there are many non-geographic factors that influence choice of provider. Most planning methods, however, overlook non-geographic factors influencing choice of provider, and the limited data mean the analyses can only be related to home address. This research attempted to determine to what extent geography plays a part in patient choice of provider and to determine if activity space data can be used to calculate service areas for primary care providers. During Spring 2008, a convenience sample of 384 patients of a locally-funded Community Health Center in Houston, Texas, completed a survey that asked about what factors are important when he or she selects a health care provider. A subset of this group (336) also completed an activity space log that captured location and time data on the places where the patient regularly goes. Survey results indicate that for this patient population, geography plays a role in their choice of health care provider, but it is not the most important reason for choosing a provider. Other factors for choosing a health care provider such as the provider offering “free or low cost visits”, meeting “all of the patient’s health care needs”, and seeing “the patient quickly” were all ranked higher than geographic reasons. Analysis of the patient activity locations shows that activity spaces can be used to create service areas for a single primary care provider. Weighted activity-space-based service areas have the potential to include more patients in the service area since more than one location per patient is used. Further analysis of the logs shows that a reduced set of locations by time and type could be used for this methodology, facilitating ongoing data collection for activity-space-based planning efforts.

That Wall is Around My Heart: Family Centered Practice

The author uses a clinical case study, in which he works with a teenager and his adoptive parents to illustrate how placement and adoption decisions can provide physical safety while at the same time exacerbating and extending overlooked and destructive effects of child abuse. The case study highlights the continuing impact of childhood trauma on the interpersonal patterns of behavior within the family, whether biological, kinship, foster or adoptive. The tendency for patterns of aggression and reactivity to be repeated by the victim and his or her caregivers in a foster or adoptive home, and then to extend into the next generation, is an integral aspect of the cycle of child abuse and underscores a critical challenge for skilled and patient staff in family-based service programs.

A study of patient satisfaction with medical care services in Yanbu al-Sinaiya, Saudi Arabia

This study attempts to provide reliable scientific data that will enable the health services department of the Royal Commission of Yanbu Al Sinaiyah, Saudi Arabia to improve the quality of health care services provided in their facilities. Patient satisfaction and dissatisfaction were investigated along seven dimensions: General satisfaction scale, Communication, Technical quality, Art of care, Continuity of care, Time spent with the doctor, and Access/Convenience/ and availability. Patient satisfaction parameters were compared for Saudi vs. non-Saudi, males vs. females, and for patients seen in the hospital vs. those seen in Al-nawa and Radwa primary care centers. The information was obtained by using a self-administered questionnaire. The results indicate that patients seen in Al-nawa primary care center were more satisfied with care than patients seen in the hospital who in turn were more satisfied than those seen in Radwa primary care center. The non-Saudi patients were more satisfied than the Saudi patients across all three facilities and satisfaction scales. The female patients were more satisfied than the male patients across all three facilities and satisfaction scales. ^

The multiple location time weighted index: Using patient activity spaces to calculate primary care service areas

Geographic health planning analyses, such as service area calculations, are hampered by a lack of patient-specific geographic data. Using the limited patient address information in patient management systems, planners analyze patient origin based on home address. But activity space research done sparingly in public health and extensively in non-health related arenas uses multiple addresses per person when analyzing accessibility. Also, health care access research has shown that there are many non-geographic factors that influence choice of provider. Most planning methods, however, overlook non-geographic factors influencing choice of provider, and the limited data mean the analyses can only be related to home address. This research attempted to determine to what extent geography plays a part in patient choice of provider and to determine if activity space data can be used to calculate service areas for primary care providers. ^ During Spring 2008, a convenience sample of 384 patients of a locally-funded Community Health Center in Houston, Texas, completed a survey that asked about what factors are important when he or she selects a health care provider. A subset of this group (336) also completed an activity space log that captured location and time data on the places where the patient regularly goes. ^ Survey results indicate that for this patient population, geography plays a role in their choice of health care provider, but it is not the most important reason for choosing a provider. Other factors for choosing a health care provider such as the provider offering "free or low cost visits", meeting "all of the patient's health care needs", and seeing "the patient quickly" were all ranked higher than geographic reasons. ^ Analysis of the patient activity locations shows that activity spaces can be used to create service areas for a single primary care provider. Weighted activity-space-based service areas have the potential to include more patients in the service area since more than one location per patient is used. Further analysis of the logs shows that a reduced set of locations by time and type could be used for this methodology, facilitating ongoing data collection for activity-space-based planning efforts. ^

Comparing experience of diabetes care with chronic illness care in the primary care clinic using the Patient Assessment of Chronic Illness Care (PACIC)

Purpose. The overall purpose of the study was to evaluate the patient experience relevant to the Chronic Care Model as measured by the PACIC. Chronic illness care of patients with diabetes was compared to those with other chronic illnesses. In addition, chronic illness care of Hispanics was compared to those of other race/ethnicity. ^ Methods. The setting of this study was 20 primary care practices located in San Antonio, TX. The subjects in this study were consecutive adult patients age >18 yrs. Data was collected via a survey (PACIC) administered to 40-60 consecutive adult patients in each primary care clinic who presented for a scheduled appointment. ^ Results. Patient experience of the Chronic Care Model is different among those with diabetes than those with other chronic diseases: those with diabetes report a higher PACIC score. (P = 0.012) Although Hispanic patients report a higher PACIC score, patient experience of the Chronic Care Model among Hispanic patients is not significantly different than that of patients of other race/ethnicity regardless of chronic disease. (P = 0.053) After controlling for the patient characteristics of age, education, health status, and race/ethnicity, the diabetes status of the patient remains significantly associated with the outcome, the PACIC score. (P = 0.033) ^ Conclusions. Diabetes is associated with a greater experience of the Chronic Care model. Contributing factors to diabetes patients’ greater experience of the Chronic Care Model include the greater heath care use and higher self-care needs unique to individuals with diabetes. Special consideration must be given to the specific needs diabetic patients to ensure effective interventions, higher patient education, greater patient compliance, and lower health care costs. ^

Prediction of sepsis in the burn intensive care unit patient

Sepsis is a significant cause for multiple organ failure and death in the burn patient, yet identification in this population is confounded by chronic hypermetabolism and impaired immune function. The purpose of this study was twofold: 1) determine the ability of the systemic inflammatory response syndrome (SIRS) and American Burn Association (ABA) criteria to predict sepsis in the burn patient; and 2) develop a model representing the best combination of clinical predictors associated with sepsis in the same population. A retrospective, case-controlled, within-patient comparison of burn patients admitted to a single intensive care unit (ICU) was conducted for the period January 2005 to September 2010. Blood culture results were paired with clinical condition: "positive-sick"; "negative-sick", and "screening-not sick". Data were collected for the 72 hours prior to each blood culture. The most significant predictors were evaluated using logistic regression, Generalized Estimating Equations (GEE) and ROC area under the curve (AUC) analyses to assess model predictive ability. Bootstrapping methods were employed to evaluate potential model over-fitting. Fifty-nine subjects were included, representing 177 culture periods. SIRS criteria were not found to be associated with culture type, with an average of 98% of subjects meeting criteria in the 3 days prior. ABA sepsis criteria were significantly different among culture type only on the day prior (p = 0.004). The variables identified for the model included: heart rate>130 beats/min, mean blood pressure<60 mmHg, base deficit<-6 mEq/L, temperature>36°C, use of vasoactive medications, and glucose>150 mg/d1. The model was significant in predicting "positive culture-sick" and sepsis state, with AUC of 0.775 (p < 0.001) and 0.714 (p < .001), respectively; comparatively, the ABA criteria AUC was 0.619 (p = 0.028) and 0.597 (p = .035), respectively. SIRS criteria are not appropriate for identifying sepsis in the burn population. The ABA criteria perform better, but only for the day prior to positive blood culture results. The time period useful to diagnose sepsis using clinical criteria may be limited to 24 hours. A combination of predictors is superior to individual variable trends, yet algorithms or computer support will be necessary for the clinician to find such models useful. ^