Academic literature on the topic 'Hospitalization insurance'
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Journal articles on the topic "Hospitalization insurance"
Payne, Charlotte A., Timothy Chrusciel, and David A. S. Kaufman. "5 Hospitalization Outcomes Following Neuropsychological Evaluation in a Traumatic Brain Injury Sample." Journal of the International Neuropsychological Society 29, s1 (November 2023): 117–18. http://dx.doi.org/10.1017/s1355617723002096.
Full textXu, Junjie, Minyue Tang, and Jun Shen. "Trends and Factors Affecting Hospitalization Costs in Patients with Inflammatory Bowel Disease: A Two-Center Study over the Past Decade." Gastroenterology Research and Practice 2013 (2013): 1–12. http://dx.doi.org/10.1155/2013/267630.
Full textZhang, Hui, Chao Zhang, Sufen Zhu, Feng Zhu, and Yan Wen. "Costs of hospitalization for chronic kidney disease in Guangzhou, China." Public Administration and Policy 22, no. 2 (December 2, 2019): 138–51. http://dx.doi.org/10.1108/pap-09-2019-0018.
Full textYamada, Tadashi, Tetsuji Yamada, Chia-Ching Chen, and Weihong Zeng. "Determinants of health insurance and hospitalization." Cogent Economics & Finance 2, no. 1 (July 8, 2014): 920271. http://dx.doi.org/10.1080/23322039.2014.920271.
Full textYamada, Tetsuji, Chia-Ching Chen, Tadashi Yamada, Haruko Noguchi, and Matthew Miller. "Private Health Insurance and Hospitalization Under Japanese National Health Insurance." Open Economics Journal 2, no. 1 (September 8, 2009): 61–70. http://dx.doi.org/10.2174/1874919400902010061.
Full textWadhwa, Aman, Kathryn Six, Smita Bhatia, and Kelly Kenzik. "Hospitalization for Chemotherapy Toxicities (Chemotoxicities) during Treatment of Pediatric Hematologic Malignancies." Blood 138, Supplement 1 (November 5, 2021): 3005. http://dx.doi.org/10.1182/blood-2021-151015.
Full textKauhl, Boris, Jörg König, and Sandra Wolf. "Spatial Distribution of COVID-19 Hospitalizations and Associated Risk Factors in Health Insurance Data Using Bayesian Spatial Modelling." International Journal of Environmental Research and Public Health 20, no. 5 (February 28, 2023): 4375. http://dx.doi.org/10.3390/ijerph20054375.
Full textMurray, Drew Carl Drennan, Rohit Kumar, Shruti Bhandari, and Mohamed M. Hegazi. "Incidence of graft versus host disease in peri transplant hospitalization after clostridium difficile infection." Journal of Clinical Oncology 38, no. 15_suppl (May 20, 2020): 7542. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.7542.
Full textTian, Haitao, Tianjun Li, and Shiqi Lu. "Robust Analysis of the Influencing Factors for Hospitalization Costs of Senile Cataracts Patients in Chengdu Considering Different Types of Insurance." American Journal of Life Sciences 12, no. 2 (April 12, 2024): 33–43. http://dx.doi.org/10.11648/j.ajls.20241202.12.
Full textFeinberg, Bruce, Brad Schenkel, Ali McBride, Lorie Ellis, Menaka Bhor, Janna Radtchenko, and Lincy S. Lal. "Predictors of Emergency Room (ER) Visits and Hospitalizations in Patients with Mantle Cell Lymphoma (MCL) Treated with Chemotherapy." Blood 126, no. 23 (December 3, 2015): 4526. http://dx.doi.org/10.1182/blood.v126.23.4526.4526.
Full textDissertations / Theses on the topic "Hospitalization insurance"
Malkin, Jesse D. "The postpartum mandate estimated costs and benefits /." Santa Monica, CA : Rand, 1998. http://books.google.com/books?id=Uw_bAAAAMAAJ.
Full textOlsen, Julia Maria. "Uso de serviços segundo a posse de plano privado de saúde no município de São Paulo." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/6/6132/tde-04092014-094314/.
Full textIntroduction The Brazilian health system is constituted by a universal public system and a private system. The city of São Paulo has a large insurance coverage but there are few local studies on the influence of this factor on health services utilization. Smaller geographic area research allows for better understanding of the local setting. Objective To analyze health services utilization according to private health insurance ownership in São Paulo. Method We performed a trans-sectional study, based on data from a health household survey performed in 2008 in São Paulo. We analyzed health services utilization in acute health issues, chronic disease followup, cancer early detection and hospitalization. We verified the association between each outcome and the ownership of private health insurance using multiple logistic regression, taking in account adjustment factors as demographic and socioeconomic characteristics and health condition. We estimated the Odds Ratio. Results People without private health insurance had bigger chances of using emergency services. People owning insurance had bigger chances of using ambulatory services and bigger chances of using services for hypertension follow-up and for cancer early detection and hospitalization. Conclusions Private health insurance ownership engendered differences in health services utilization and there are socio-economic related inequalities in São Paulo.
Chen, Yueh-chu, and 陳岳駒. "Modeling the Hospitalization Days in Cancer Health Insurance." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/75063677121995968049.
Full text東吳大學
財務工程與精算數學系
98
In order to understand the protection level of the policyholders under hospitalization limit in cancer insurance, this paper tries to model the cancer patients’ hospitalization after them first diagnosed with cancer. Data with period from 1996 to 2007 is gathered from Taiwan’s National Health Insurance Research Database (NHIRD).Generalized Linear Models had a good fit to the model with the gamma distribution. The main factors of hospitalization are incidence age and gender. Also, the indicator of the patient hospitalized in the first year and which year the patient hospitalized are significant in the model of hospitalization from the second year to twelfth year after incidence.
WANG, XIANG-PIN, and 王香蘋. "A study of audit on labor insurance hospitalization expense." Thesis, 1992. http://ndltd.ncl.edu.tw/handle/09238697785747001973.
Full textPAN, HSING-MING, and 潘星明. "The Research of Rate-making for Hospitalization Insurance with Limitation on Benefits." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/6j65p7.
Full text東吳大學
財務工程與精算數學系
105
There are various limitation and benefit provisions of hospital income benefit of one-year health insurance provided in the current market, as the result, insured may choose an insurance policy based on lower premium but neglect the coverage. In order to enable insured to choose a suitable insurance policy based on their ages, and insurance companies can also design different products for the target group and provide a variety of options for the insured. In this study, we target to 0~100 years old people, divide them into 19 groups by ages and sexes, and settle 90 days as the claim limit, then use the software @Risk to simulate the average hospital day of every group for calculating net premium rate of hospital income benefit of one-year health insurance. According to the results of the study, there are significant differences of average hospital days between different age groups for both sexes. In order to obtain reasonable premium rate, insurance companies should pay attention to see if it is appropriate to use the same average hospital days for all age groups for rate-making. Different claim limit has different impact to each age levels. In order to choose the policy which is with affordable premium and also can provide adequate protection, premium should not be the only basis for insured, the coverage should be also considered.
Chen, Tien-Fu, and 陳添福. "An Analysis of Bronchiectasis-Associated Hospitalization under National Health Insurance in Taiwan." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/82110502449508178750.
Full text中臺科技大學
健康產業管理研究所
100
Background: Domestic research of medical utilization for chronic respiratory diseases mainly focuses on obstructive pulmonary disease, asthma, and respiratory care. Utilization and cost of medical services for bronchiectasis-associated diseases is an issue seldom discussed in previous research. Based on National Health Insurance Research Database, this study attempted to explore the development of bronchiectasis-associated diseases in Taiwan, utilization and cost of bronchiectasis-associated hospitalization, and factors affecting medical utilization. Methods: From National Health Insurance Research Database maintained by National Health Research Institute, this study extracted hospitalization data of patients diagnosed with bronchiectasis (principal and secondary diagnosis by ICD-9-CM code of 494) during 1998~2008. Using patient characteristic, hospital characteristic, and hospital location as independent variables and cost of hospitalization as a dependent variable, this study conducted univariate analysis, bivariate analysis, and multivariate analysis of the data respectively. Results: Results indicated that a total of 97,912 persons utilized hospitalization services for bronchiectasis-associated diseases during 1998~2008. The hospitalization rate per 100,000 population was 39.5, and the rate was higher among women than among men. Patients aged above 65 had a higher frequency of hospitalization for bronchiectasis. The average length of hospital stay was 11.13 days, and the average cost of hospitalization was NT$47,797.01. Factors affecting hospitalization for bronchiectasis included gender, age, reported salary of the insured, Charlson Comorbidity Index (CCI) score, length of hospital stay, hospital accreditation status, hospital ownership status, and administrative branch of Bureau of National Health Insurance. Conclusions and Suggestions: It should be noted that the prevalence of bronchiectasis was significantly higher among women and people with lower socio-economic status. Therefore, more health education and preventive measures should be provided to these groups of people to reduce incidence of bronchiectasis and medical expenses required. Besides, frequency of hospitalization for bronchiectasis also increased with age. As the ratio of elderly population is on the increase in Taiwan, more emphasis should be placed on preventive care for the elderly.
Lin, Chang-Li, and 林長立. "An Actuarial Model for Hospitalization Insurance with Limited Benefit: Cancer Impaired Risk." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/24893573970997783185.
Full text東吳大學
財務工程與精算數學系
101
The demand for private medical insurance is increasing in Taiwan as public awareness about healthcare needs. Some of the most popular individual hospitalization insurance plans are limited and fixed premium payment products, with unlimited or lifetime benefits. With the average lifespan increasing and the rapidly rising cost of healthcare, a lifetime benefit creates substantial risk to health insurance providers. Insurance companies have stopped offering unlimited and lifetime benefits. The two types of insurance contracts currently offered either provides limited benefits or the unused portion as a life insurance benefit. Hospitalization benefits can be classified as actual daily medical expense, fixed daily benefit, or the greater of the two. In this study, we consider a hospitalization insurance for newly diagnosed cancer patients with a fixed daily benefit and lifetime claims, with ceilings. We use a generalized linear model (GLM) to analyze thirteen-year inpatient longitudinal data of 695,978 cancer patients, diagnosed between 1997 and 2009, which is approximately a third of Taiwan’s new cancer cases in that period. Data are extracted from Taiwan’s National Health Insurance Research Database via ICD_9_CM codes. Our study indicates that the special GLM model yields reasonable results for annual inpatient days, to be specific, the generalized estimating equation, negative binomial distribution, and exchangeable correlation. We then used copula and simulation methods to determine the net premium required under varied claims ceiling, mortality rates, and correlation coefficients. For premium paying period, we consider both single premium and regular premium. Consider also given to the regular premium with or without rational termination. Our findings are that firstly, there is a correlation for annual inpatient days; the higher correlation for lower premiums. This statement is true for hospitalization insurance with and without a life insurance benefit. Secondly, an increase in the mortality rate will raise the premium for the hospitalization insurance with life insurance benefit, however it will reduce the premium for hospitalization insurance without a life insurance benefits. Third, the net premium reserve depend not only the policy year but also the benefits already paid. Reserve may not be needed in the first few policy years. Fourth, premium is lower with rationality termination consideration than without rational termination.
Chu, Bow-Ching, and 褚柏菁. "Establishing the Fee Schedule for Chinese Medical Hospitalization Procedures in Taiwan’s National Insurance Program." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/09776756140245885972.
Full text中國醫藥大學
中國醫學研究所碩士班
95
Chinese medical insurance was included in the Labor Health Insurance in 1975, the Government Worker Insurance in 1988 and the Farmer Health Insurance in 1989 respectively. Taiwan’s National Health Insurance (NHI) program was established in March 1995, and the Chinese medical outpatient service was included in NHI. So far, the NHI has been established for more than ten years but the Chinese medical hospitalization (CMH) has not yet been incorporated in NHI, still stays in the appraisal stage. It is very important to establish the reasonable fee schedule for developing CMH. This study uses the Delphi method and Grounded theory method to reach a common consensus among the specialists. We held two the specialists meetings in which 33 experts discussed together and gave very helpful suggestions. After the meetings, we arranged all the suggestions and made the Delphi questionnaire. 44 Delphi questionnaires were sent and the results were shown in the two-rounded Delphi questionnaire. There are three parts of the Delphi questionnaire:the first part is “the attitude toCMH”.In the subject of “CMH should be involved in NHI? ”, most experts strongly approved it. In the subject of “partially diseases should be involved in Chinese medical hospitalization”, the attitude of experts turned from approval to strongly approval during two rounds. In the subject of “Chinese herbal medicine should be paid for daily charge? ”, the attitude of experts turned from unapproval to approval during two rounds that appeared that they had different view of it. In the subject of “the cost-sharing for hospitalization of Chinese medical hospitalization should higher than western medicine”, most experts didn’t approve it. The second part is “the evaluation for the subjects of Chinese medical hospitalization”. Most experts approved that the medical center with Chinese medical department is the priority to practice the CMH.The major purpose of CMH is for developing the research of Chinese medicine. The Committee on Chinese Medicine and Pharmacy, Department of Health, Executive Yuan should lead to establish the CMH.Stroke and treatment of post chemo-radial therapy should be prior to be involved in CMH. The third part is “the suggestions of the fee schedule of CMH”. Over 80% experts approved that room fee of Chinese medical hospitalization, diagnosis fee of Chinese medicine,diagnosis fee of western medicine ,fee of prescription , fee of treatment of acupuncture, nursing care fee of traditional Chinese traumatologic manipulation、fee of nutritional direction、fee of pharmacist、accupressure、splint、pulse signal measurement、electroacupuncture stimulation、nasogastric feeding、testing、X-ray should be paid. Less than 80% experts approved that altinative chinese medical equipments and fire cupping should be paid. Most suggestive fee were close to the fee schedule of experimental plan,and the fee in second round is closer to fee schedule of experimental plan than the first round. The results are the common consensus for Chinese medical hospitalization procedures among the specialists,and it could be a guideline for Chinese medical hospitalization procedures in the future. We also investigate the distribution of Chinese medical hospitals and doctors in Taiwan, for the preparation for Chinese medical hospitalization.
Sung, Szu-Hsien, and 宋思嫺. "Estimation of Hospitalization Rate and the Design of Medical Insurance- by Unit Type of Insured." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/bv55c8.
Full text真理大學
統計與精算學系碩士班
101
The population aging and the decline of fertility rate has become a serious social problem nowadays. It is inevitable that the demand of medical care is increasing. However, the unceasingly progressing medical technology has caused the medical expense to rise constantly and increase the burden on the health expenditure of people. People thus purchase commercial health insurance products to mitigate risks. It is common that the design of insurance products adopts age and gender as risk factors; however, marital status, physical condition, family medical history and occupation of insured are also possible risk factors. In this research, the National Health Insurance database was used to find risk factors of the incidence of hospitalization and thus apply to the design of medical products. The hospitalization data from 1996 to 2010 of the one million sample of year 2005, which were drawn from the National Health Insurance research database, were used to estimate the hospitalization rate and the average days of hospitalization of unit type of insured. Lee-Carter model is used to fit and forecast the hospitalization rate. There are significantly difference between distinct unit type of insured in hospitalization rate. The premiums of medical insurance of distinct unit type of insured will be calculated and thus providing the insurance company as a reference of insurance product design and underwriting.
Ting, Chia-Ling, and 丁嘉玲. "Whether day-care units of the contemporary mental care model in psychiatric wards qualified as a hospitalization expense in health insurance?." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/75rsdm.
Full text國立交通大學
科技法律研究所
106
For Hospitalization Expense Insurance Policies, "hospitalize" or "hospitalization" means a situation where the insured sustains an illness or injury, a physician makes a diagnosis that hospital confinement is necessary for further diagnosis and/or treatment thereof, formal procedures are followed for admittance to a hospital, and the insured actually resides in the hospital to receive diagnosis and/or treatment. In juridical practice, there are several differing perspectives regarding the issue of whether day-care units of the contemporary mental care model in psychiatric wards qualify as hospitalization expense in health insurance. The grounded theory was conducted in this research for a qualitative study. The analysis was done through interviews with 4 professionals. This article arranges the arguments of each opinions, analyzes the issues from an economic point of view, and proposes advice, references, solutions regarding this issue.
Books on the topic "Hospitalization insurance"
Benefits, Virginia Special Advisory Commission on Mandated Health Insurance. Minimum hospital stay for mastectomy patients: Report of the Special Advisory Commission on Mandated Health Insurance Benefits to the Governor and the General Assembly of Virginia. Richmond: Commonwealth of Virginia, 1998.
Find full textNew Jersey. State Dept. of Health. The Uncompensated Care Trust Fund: Assuring universal access to hospital care in New Jersey : a report to the governor and the Legislature. [Trenton, N.J: Dept. of Health, 1989.
Find full textKöhrer, Dietmar. Gesetzliche Krankenversicherung und Krankenhäuser: Treffpunkt Pflegesatzverhandlung : eine Untersuchung zur wirtschaftlicheren Betriebsführung von Krankenhäusern. Baden-Baden: Nomos, 1991.
Find full textIllinois. Dept. of Insurance. What you should know about nursing home insurance. Springfield, Ill.]: Illinois Dept. of Insurance, 1986.
Find full textHeld, Philip J. Site selection criteria for the health insurance study. Santa Monica, Calif: Rand Corp., 1985.
Find full textGoodman, John C. The changing market for health insurance: Opting out of the cost-plus system. Dallas, Tex. (7701 N. Stemmons, Dallas 75247): NCPA, 1985.
Find full textNorth Carolina Medical Database Commission. and North Carolina. Dept. of Insurance., eds. Primary payer summary statistics by hospital: October 1, 1989 through September 30, 1990. Raleigh, NC (3901 Barrett Dr., Suite 204, Raleigh 27609): North Carolina Medical Database Commission, Dept. of Insurance, 1991.
Find full textYegian, Jill Mathews. Size matters: The health insurance market for small firms. Aldershot, Hampshire, England: Ashgate, 1999.
Find full textBarber, Linda George. Being a hospital insurance clerk. Englewood Cliffs, N.J: Brady, 1995.
Find full textUnited States. Congress. Senate. Committee on Finance. Fiscal year 1991 budget proposals: Hearing before the Committee on Finance, United States Senate, One Hundred First Congress, second session, February 28, March 6 and 22, 1990. Washington: U.S. G.P.O., 1990.
Find full textBook chapters on the topic "Hospitalization insurance"
Niohuru, Ilha. "Healthcare Affordability." In Healthcare and Disease Burden in Africa, 105–20. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-19719-2_5.
Full textLee, Po-Chang, Yu-Pin Chang, and Yu-Yun Tung. "Comprehensive Policies." In Digital Health Care in Taiwan, 55–83. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05160-9_4.
Full textMehrish, Divya, J. Sairamesh, Laurent Hasson, and Monica Sharma. "Combining Weather and Pollution Indicators with Insurance Claims for Identifying and Predicting Asthma Prevalence and Hospitalizations." In Advances in Intelligent Systems and Computing, 457–62. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74009-2_58.
Full textGallant, Jason, Diana Joyce-Beaulieu, and Brian A. Zaboski. "Terminating Therapy and Referrals." In Applied Cognitive Behavioral Therapy in Schools, 163–80. Oxford University Press, 2021. http://dx.doi.org/10.1093/med-psych/9780197581384.003.0009.
Full textKumar, Dr M. Vinod, Dr Ramesh Nagarajappa, Dr Arun Kumar Acharya, Dr Ananthalekshmy R, and Dr Angelin Mary L. "PRE-PAID PLAN: DENTAL INSURANCE FOR PENURY." In Futuristic Trends in Medical Sciences Volume 3 Book 21, 155–62. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bgms21p2ch7.
Full textFleck, Leonard M. "Just Caring an Introduction." In Just Caring, 3–33. Oxford University PressNew York, NY, 2009. http://dx.doi.org/10.1093/oso/9780195128048.003.0001.
Full textSeok, Jaeeun. "Long-Term Care." In The Korean Welfare State, 133–56. Oxford University PressNew York, 2024. http://dx.doi.org/10.1093/oso/9780197644928.003.0007.
Full textEncinosa, William E., Didem Bernard, and Avi Dor. "Does prescription drug adherence reduce hospitalizations and costs? The case of diabetes." In Pharmaceutical Markets and Insurance Worldwide, 151–73. Emerald Group Publishing Limited, 2010. http://dx.doi.org/10.1108/s0731-2199(2010)0000022010.
Full textNevsimalova, Sona, Ondrej Ludka, and Jana Vyskocilova. "Current Practice of Sleep Medicine in The Czech Republic." In The Practice of Sleep Medicine Around The World: Challenges, Knowledge Gaps and Unique Needs, 390–95. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815049367123010031.
Full textWallace, Daniel J. "Economic impact and disability issues." In Lupus The Essential Clinician’s Guide, 91–92. Oxford University PressNew York, NY, 2008. http://dx.doi.org/10.1093/oso/9780195368987.003.0013.
Full textConference papers on the topic "Hospitalization insurance"
Baro, Everton F., Luiz S. Oliveira, and Alceu de Souza Britto Junior. "Predicting Hospitalization from Health Insurance Data." In 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2022. http://dx.doi.org/10.1109/smc53654.2022.9945601.
Full textYang Xie, Gunter Schreier, David C. W. Chang, Sandra Neubauer, Stephen J. Redmond, and Nigel H. Lovell. "Predicting number of hospitalization days based on health insurance claims data using bagged regression trees." In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2014. http://dx.doi.org/10.1109/embc.2014.6944181.
Full textSteuart, Shelby. "Do Cannabis PDMPs Change Physician Prescribing Behavior?" In 2022 Annual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2022. http://dx.doi.org/10.26828/cannabis.2022.02.000.42.
Full textBelendiuk, KA, H. Trinh, MD Cascino, L. Dragone, D. Keebler, and J. Garg. "FRI0285 Lupus nephritis is associated with increased rates of hospitalization and in-hospital mortality compared with non-renal lupus and matched controls: an analysis of insurance claims data." In Annual European Congress of Rheumatology, 14–17 June, 2017. BMJ Publishing Group Ltd and European League Against Rheumatism, 2017. http://dx.doi.org/10.1136/annrheumdis-2017-eular.5526.
Full textWu, C. H., S. Kher, A. LeClair, L. L. Price, N. Terrin, N. Kressin, A. Hanchate, S. Jillian, and K. M. Freund. "Impact of Insurance Stability on Racial Disparities in Hospitalizations for COPD." In American Thoracic Society 2021 International Conference, May 14-19, 2021 - San Diego, CA. American Thoracic Society, 2021. http://dx.doi.org/10.1164/ajrccm-conference.2021.203.1_meetingabstracts.a1035.
Full textJaparova, Damira. "Health System Reform in Kyrgyzstan: Problems and Prospects." In International Conference on Eurasian Economies. Eurasian Economists Association, 2011. http://dx.doi.org/10.36880/c02.00368.
Full textReports on the topic "Hospitalization insurance"
Kaestner, Robert, Cuiping Long, and G. Caleb Alexander. Effects of Prescription Drug Insurance on Hospitalization and Mortality: Evidence from Medicare Part D. Cambridge, MA: National Bureau of Economic Research, February 2014. http://dx.doi.org/10.3386/w19948.
Full textChandra, Amitabh, Jonathan Gruber, and Robin McKnight. Patient Cost-Sharing, Hospitalization Offsets, and the Design of Optimal Health Insurance for the Elderly. Cambridge, MA: National Bureau of Economic Research, March 2007. http://dx.doi.org/10.3386/w12972.
Full textArrieta, Alejandro, and Ariadna García Prado. Series of Avoidable Hospitalizations and Strengthening Primary Health Care: The Case of Chile. Inter-American Development Bank, December 2012. http://dx.doi.org/10.18235/0006952.
Full textRast, Jessica E., Kaitlin H. Koffer Miller, Julianna Rava, Jonas C. Ventimiglia, Sha Tao, Jennifer Bromberg, Jennifer L. Ames, Lisa A. Croen, Alice Kuo, and Lindsay L. Shea. National Autism Indicators Report: Health and the COVID-19 Pandemic: July 2023. A.J. Drexel Autism Institute, 2023. http://dx.doi.org/10.17918/covidnair2023.
Full textDafny, Leemore, and Jonathan Gruber. Does Public Insurance Improve the Efficiency of Medical Care? Medicaid Expansions and Child Hospitalizations. Cambridge, MA: National Bureau of Economic Research, February 2000. http://dx.doi.org/10.3386/w7555.
Full text