Basics of qualitative research: Grounded theory procedures and techniques

世界経済・社会統計 = World development indicators

XI. STRATEGIES FOR IMPROVING DIABETES CARE D iabetes is a chronic illness that requires continuing medical care and patient self-management education to prevent acute complications and to reduce the risk of long-term complications. Diabetes care is complex and requires that many issues, beyond glycemic control, be addressed. A large body of evidence exists that supports a range of interventions to improve diabetes outcomes. These standards of care are intended to provide clinicians, patients, researchers, payors, and other interested individuals with the components of diabetes care, treatment goals, and tools to evaluate the quality of care. While individual preferences, comorbidities, and other patient factors may require modification of goals, targets that are desirable for most patients with diabetes are provided. These standards are not intended to preclude more extensive evaluation and management of the patient by other specialists as needed. For more detailed information, refer to Bode (Ed.): Medical Management of Type 1 Diabetes (1), Burant (Ed): Medical Management of Type 2 Diabetes (2), and Klingensmith (Ed): Intensive Diabetes Management (3). The recommendations included are diagnostic and therapeutic actions that are known or believed to favorably affect health outcomes of patients with diabetes. A grading system (Table 1), developed by the American Diabetes Association (ADA) and modeled after existing methods, was utilized to clarify and codify the evidence that forms the basis for the recommendations. The level of evidence that supports each recommendation is listed after each recommendation using the letters A, B, C, or E.

Standards of Medical Care in Diabetes

WRITING GROUP MEMBERS Emelia J. Benjamin, MD, SCM, FAHA Michael J. Blaha, MD, MPH Stephanie E. Chiuve, ScD Mary Cushman, MD, MSc, FAHA Sandeep R. Das, MD, MPH, FAHA Rajat Deo, MD, MTR Sarah D. de Ferranti, MD, MPH James Floyd, MD, MS Myriam Fornage, PhD, FAHA Cathleen Gillespie, MS Carmen R. Isasi, MD, PhD, FAHA Monik C. Jiménez, ScD, SM Lori Chaffin Jordan, MD, PhD Suzanne E. Judd, PhD Daniel Lackland, DrPH, FAHA Judith H. Lichtman, PhD, MPH, FAHA Lynda Lisabeth, PhD, MPH, FAHA Simin Liu, MD, ScD, FAHA Chris T. Longenecker, MD Rachel H. Mackey, PhD, MPH, FAHA Kunihiro Matsushita, MD, PhD, FAHA Dariush Mozaffarian, MD, DrPH, FAHA Michael E. Mussolino, PhD, FAHA Khurram Nasir, MD, MPH, FAHA Robert W. Neumar, MD, PhD, FAHA Latha Palaniappan, MD, MS, FAHA Dilip K. Pandey, MBBS, MS, PhD, FAHA Ravi R. Thiagarajan, MD, MPH Mathew J. Reeves, PhD Matthew Ritchey, PT, DPT, OCS, MPH Carlos J. Rodriguez, MD, MPH, FAHA Gregory A. Roth, MD, MPH Wayne D. Rosamond, PhD, FAHA Comilla Sasson, MD, PhD, FAHA Amytis Towfighi, MD Connie W. Tsao, MD, MPH Melanie B. Turner, MPH Salim S. Virani, MD, PhD, FAHA Jenifer H. Voeks, PhD Joshua Z. Willey, MD, MS John T. Wilkins, MD Jason HY. Wu, MSc, PhD, FAHA Heather M. Alger, PhD Sally S. Wong, PhD, RD, CDN, FAHA Paul Muntner, PhD, MHSc On behalf of the American Heart Association Statistics Committee and Stroke Statistics Subcommittee Heart Disease and Stroke Statistics—2017 Update

Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association

March 5, 2019 e1 WRITING GROUP MEMBERS Emelia J. Benjamin, MD, ScM, FAHA, Chair Paul Muntner, PhD, MHS, FAHA, Vice Chair Alvaro Alonso, MD, PhD, FAHA Marcio S. Bittencourt, MD, PhD, MPH Clifton W. Callaway, MD, FAHA April P. Carson, PhD, MSPH, FAHA Alanna M. Chamberlain, PhD Alexander R. Chang, MD, MS Susan Cheng, MD, MMSc, MPH, FAHA Sandeep R. Das, MD, MPH, MBA, FAHA Francesca N. Delling, MD, MPH Luc Djousse, MD, ScD, MPH Mitchell S.V. Elkind, MD, MS, FAHA Jane F. Ferguson, PhD, FAHA Myriam Fornage, PhD, FAHA Lori Chaffin Jordan, MD, PhD, FAHA Sadiya S. Khan, MD, MSc Brett M. Kissela, MD, MS Kristen L. Knutson, PhD Tak W. Kwan, MD, FAHA Daniel T. Lackland, DrPH, FAHA Tené T. Lewis, PhD Judith H. Lichtman, PhD, MPH, FAHA Chris T. Longenecker, MD Matthew Shane Loop, PhD Pamela L. Lutsey, PhD, MPH, FAHA Seth S. Martin, MD, MHS, FAHA Kunihiro Matsushita, MD, PhD, FAHA Andrew E. Moran, MD, MPH, FAHA Michael E. Mussolino, PhD, FAHA Martin O’Flaherty, MD, MSc, PhD Ambarish Pandey, MD, MSCS Amanda M. Perak, MD, MS Wayne D. Rosamond, PhD, MS, FAHA Gregory A. Roth, MD, MPH, FAHA Uchechukwu K.A. Sampson, MD, MBA, MPH, FAHA Gary M. Satou, MD, FAHA Emily B. Schroeder, MD, PhD, FAHA Svati H. Shah, MD, MHS, FAHA Nicole L. Spartano, PhD Andrew Stokes, PhD David L. Tirschwell, MD, MS, MSc, FAHA Connie W. Tsao, MD, MPH, Vice Chair Elect Mintu P. Turakhia, MD, MAS, FAHA Lisa B. VanWagner, MD, MSc, FAST John T. Wilkins, MD, MS, FAHA Sally S. Wong, PhD, RD, CDN, FAHA Salim S. Virani, MD, PhD, FAHA, Chair Elect On behalf of the American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee

Heart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association

Latin America has experienced a rise in noncommunicable diseases (NCDs) which is having repercussions on the structuring of healthcare delivery and social protection for vulnerable populations. We examined catastrophic (CHE) and excessive (EHE, impoverishing and/or catastrophic) health care expenditures in Mexican households with and without elderly members (≥65 years), by gender of head of the households, during 2000-2020. We analyzed pooled cross-sectional data for 380,509 households from eleven rounds of the National Household Income and Expenditure Survey. Male- and female-headed households (MHHs and FHHs) were matched using propensity scores to control for gender bias in systematic differences regarding care-seeking (demand for healthcare) preferences. Adjusted probabilities of positive health expenditures, CHE and EHE were estimated using probit and two-stage probit models, respectively. Quintiles of EHE by state among FHHs with elderly members were also mapped. CHE and EHE were greater among FHHs than among MHHs (4.7% vs 3.9% and 5.5% vs 4.6%), and greater in FHHs with elderly members (5.8% vs 4.9% and 6.9% vs 5.8%). EHE in FHHs with elderly members varied geographically from 3.9% to 9.1%, being greater in less developed eastern, north-central and southeastern states. Compared with MHHs, FHHs face greater risks of CHE and EHE. This vulnerability is exacerbated in FHHs with elderly members, because of gender intersectional vulnerability. The present context, marked by a growing burden of NCDs and inequities amplified by COVID-19, makes key interlinkages across multiple Sustainable Development Goals (SDGs) apparent, and calls for urgent measures that strengthen social protection in health.

A Gender-Based and Quasi-Experimental Study of the Catastrophic and Impoverishing Health-Care Expenditures in Mexican Households with Elderly Members, 2000-2020.

Se buscó caracterizar la satisfacción y percepciones de los residentes de Lima Metropolitana sobre distintos aspectos de la ciudad que pueden afectar su calidad de vida y salud, identificando diferencias por nivel socioeconómico (NSE) y cambios en el tiempo. Se realizó un análisis secundario de la Encuesta «Lima Cómo Vamos» entre 2010 y 2019, reportando los resultados mediante porcentajes, con diferencias entre NSE para cada año y entre años. En 2019 la satisfacción y percepciones eran mayoritariamente desfavorables, y han disminuido hasta en 30 puntos porcentuales con el tiempo. Las personas de NSE más bajos tenían valoraciones más desfavorables y con mayores reducciones en el tiempo. Esta insatisfacción y percepciones desfavorables revelan deficiencias en servicios públicos y condiciones urbanas que podrían afectar negativamente la calidad de vida y salud, haciendo necesarias políticas que reduzcan las brechas socioeconómicas y mejoren la salud de los ciudadanos de Lima Metropolitana.

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Satisfacción y percepciones sobre aspectos de la ciudad que afectan la salud, por nivel socioeconómico, 2010-2019, en Lima Metropolitana

Sugar-sweetened beverage consumption is associated with obesity and chronic disease. In 2018, Peru increased the tax on high-sugar beverages (≥6 g of sugar per 100 mL) from 17 to 25%, yet little is known about pre-existing beverage trends or demographic characteristics associated with purchases in the country. The aim of this study was to explore beverage purchasing trends from 2016 to 2017 and examine variation in purchase volume by sociodemographic characteristics among urban households in Peru.This study used monthly household purchase data from a panel of 5145 households from January 2016-December 2017 from Kantar WorldPanel Peru. Beverage purchases were categorized by type and tax status under the 2018 regulation (untaxed, lower-sugar taxed, high-sugar taxed). To assess beverage purchasing trends, per-capita volume purchases were regressed on a linear time trend, with month dummies for seasonality and clustered standard errors. Mean volume purchases by beverage tax status (total liters purchased per month), overall and by key demographic characteristics (education, socioeconomic status, and geographic region), were calculated. Mean volume by beverage type was assessed to identify the largest contributors to total beverage volume.The trends analysis showed a decline in total beverage volume of - 52 mL/capita/month (95% CI: - 72, - 32) during the 24-month study period. Over 99% of households purchased untaxed beverages in a month, while > 92% purchased high-sugar taxed beverages. Less than half of all households purchased low-sugar taxed beverages in a month and purchase volume was low (0.3 L/capita/month). Untaxed beverage purchases averaged 9.4 L/capita/month, while households purchased 2.8 L/capita/month of high-sugar taxed beverages in 2017. Across tax categories, volume purchases were largest in the high education and high socioeconomic (SES) groups, with substantial variation by geographic region. The highest volume taxed beverage was soda (2.3 L/capita/month), while the highest volume untaxed beverages were milk and bottled water (1.9 and 1.7 L/capita/month, respectively).Nearly all households purchased high-sugar taxed beverages, although volume purchases of taxed and untaxed beverages declined slightly from 2016 to 2017. Households with high SES and high education purchased the highest volume of taxed beverages, highlighting the need to consider possible differential impacts of the tax policy change by sub-population groups. 

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J. Jaime Miranda

Papers

A Gender-Based and Quasi-Experimental Study of the Catastrophic and Impoverishing Health-Care Expenditures in Mexican Households with Elderly Members, 2000-2020.

Satisfacción y percepciones sobre aspectos de la ciudad que afectan la salud, por nivel socioeconómico, 2010-2019, en Lima Metropolitana

Sugar-sweetened beverage purchases in urban Peru before the implementation of taxation and warning label policies: a baseline study

Beyond birth-weight: Improved ascertainment of early growth predicts blood pressure in 1

Strengthening research to improve hypertensive patient outcomes in Peru.