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Journal articles on the topic 'Disease Planning'

Author: Grafiati

Published: 4 June 2021

Last updated: 28 July 2025

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1

Crotty, Grace F., Jessi L. Keavney, Roy N. Alcalay, et al. "Planning for Prevention of Parkinson Disease." Neurology 99, no. 7 Supplement 1 (2022): 1–9. http://dx.doi.org/10.1212/wnl.0000000000200789.

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Parkinson disease (PD) is a chronic progressive neurodegenerative disease with increasing worldwide prevalence. Despite many trials of neuroprotective therapies in manifest PD, no disease-modifying therapy has been established. Over the past several decades, a series of breakthroughs have identified discrete populations at substantially increased risk of developing PD. Based on this knowledge, now is the time to design and implement PD prevention trials. This endeavor builds on experience gained from early prevention trials in Alzheimer disease and Huntington disease. This article first review

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2

East, Iain. "Emergency disease planning and preparedness." Australian Veterinary Journal 92, no. 3 (2014): 50. http://dx.doi.org/10.1111/avj.12163.

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3

Heisters, Daiga. "Care planning for Parkinson's disease." Nursing and Residential Care 9, no. 4 (2007): 164–66. http://dx.doi.org/10.12968/nrec.2007.9.4.23127.

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4

Chen, Candice, Qian Luo, Nicholas Chong, et al. "Coronavirus Disease 2019 Planning and Response." Medical Care 59, Suppl 5 (2021): S420—S427. http://dx.doi.org/10.1097/mlr.0000000000001606.

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5

Roeder, P. "Foot-and-mouth disease emergency planning." Veterinary Record 168, no. 13 (2011): 359. http://dx.doi.org/10.1136/vr.d2044.

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6

Harowicz, Michael R., Amar Shah, and Stefan L. Zimmerman. "Preoperative Planning for Structural Heart Disease." Radiologic Clinics of North America 58, no. 4 (2020): 733–51. http://dx.doi.org/10.1016/j.rcl.2020.02.005.

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7

Walldorf, Jens, Susanne Brunne, Fleur S. Gittinger, and Patrick Michl. "Family planning in inflammatory bowel disease." European Journal of Gastroenterology & Hepatology 30, no. 3 (2018): 310–15. http://dx.doi.org/10.1097/meg.0000000000001037.

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8

Lands, Bill. "Planning primary prevention of coronary disease." Current Atherosclerosis Reports 11, no. 4 (2009): 272–80. http://dx.doi.org/10.1007/s11883-009-0042-6.

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9

Cho, Soo Hun, Yun Chul Hong, Jong Han Leem, Seong Sil Chang, and Byung Chul Chun. "Occupational Disease Surveillance System: Planning and Management." Korean Journal of Occupational and Environmental Medicine 13, no. 1 (2001): 10. http://dx.doi.org/10.35371/kjoem.2001.13.1.10.

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10

Shusharina, N., and T. Bortfeld. "SP-0254 Probabilistic planning for microscopic disease." Radiotherapy and Oncology 161 (August 2021): S166—S167. http://dx.doi.org/10.1016/s0167-8140(21)08548-0.

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11

Leddin, Desmond J., and Derek M. McKay. "Planning for Canadian Digestive Disease Week 2003." Canadian Journal of Gastroenterology 16, no. 7 (2002): 491–92. http://dx.doi.org/10.1155/2002/302459.

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12

Lum, Hillary D., Sarah R. Jordan, Adreanne Brungardt, et al. "Framing advance care planning in Parkinson disease." Neurology 92, no. 22 (2019): e2571-e2579. http://dx.doi.org/10.1212/wnl.0000000000007552.

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ObjectiveAdvance care planning (ACP) is a core quality measure in caring for individuals with Parkinson disease (PD) and there are no best practice standards for how to incorporate ACP into PD care. This study describes patient and care partner perspectives on ACP to inform a patient- and care partner-centered framework for clinical care.MethodsThis is a qualitative descriptive study of 30 patients with PD and 30 care partners within a multisite, randomized clinical trial of neuropalliative care compared to standard care. Participants were individually interviewed about perspectives on ACP, in

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13

Patricia, O‘Brien, and Jeanne T. Boisvert. "Discharge Planning for Children with Heart Disease." Critical Care Nursing Clinics of North America 1, no. 2 (1989): 297–306. http://dx.doi.org/10.1016/s0899-5885(18)30900-6.

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14

Vivaldini, Kelen C. T., Thiago H. Martinelli, Vitor C. Guizilini, et al. "UAV route planning for active disease classification." Autonomous Robots 43, no. 5 (2018): 1137–53. http://dx.doi.org/10.1007/s10514-018-9790-x.

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15

Yamamoto, Jennifer, and Lois E. Donovan. "Managing thyroid disease in women planning pregnancy." Canadian Medical Association Journal 189, no. 28 (2017): E940. http://dx.doi.org/10.1503/cmaj.170021.

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16

Gates, Gail E., and Ginger R. Meyers. "Dietitians' disease-specific nutrition care planning strategies." Journal of the American Dietetic Association 94, no. 1 (1994): 81–83. http://dx.doi.org/10.1016/0002-8223(94)92047-8.

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17

Rogers, Mark W., and Christina W. Y. Chan. "Motor planning is impaired in Parkinson's disease." Brain Research 438, no. 1-2 (1988): 271–76. http://dx.doi.org/10.1016/0006-8993(88)91346-7.

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18

Vitry, Agnes I., Elizabeth E. Roughead, Emmae N. Ramsay, et al. "Chronic disease management: does the disease affect likelihood of care planning?" Australian Health Review 36, no. 4 (2012): 419. http://dx.doi.org/10.1071/ah11100.

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Objective. To compare the demographic, socioeconomic, and medical characteristics of patients who had a General Practitioner Management Plan (GPMP) with those for patients without GPMP. Methods. Cohort study of patients with chronic diseases during the time period 1 July 2006 to 30 June 2008 using the Australian Department of Veterans’ Affairs (DVA) claims database. Results. Of the 88 128 veterans with chronic diseases included in the study, 23 015 (26%) veterans had a GPMP and 11 089 (13%) had a Team Care Arrangement (TCA). Those with a GPMP had a higher number of comorbidities (P < 0.001)

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19

Warren, James R., Joseph T. Noone, Brian J. Smith, et al. "Automated attention flags in chronic disease care planning." Medical Journal of Australia 175, no. 6 (2001): 308–12. http://dx.doi.org/10.5694/j.1326-5377.2001.tb143588.x.

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20

Krasemann, Thomas, and Joshua Branstetter. "Virtual Reality Treatment Planning for Congenital Heart Disease." JACC: Case Reports 3, no. 14 (2021): 1584–85. http://dx.doi.org/10.1016/j.jaccas.2021.08.023.

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21

Morris, R. G., J. J. Downes, B. J. Sahakian, J. L. Evenden, A. Heald, and T. W. Robbins. "Planning and spatial working memory in Parkinson's disease." Journal of Neurology, Neurosurgery & Psychiatry 51, no. 6 (1988): 757–66. http://dx.doi.org/10.1136/jnnp.51.6.757.

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22

Klinger, Evelyne, Isabelle Chemin, Sophie Lebreton, and Rose-Marie Marié. "Virtual Action Planning in Parkinson's Disease: AControl Study." CyberPsychology & Behavior 9, no. 3 (2006): 342–47. http://dx.doi.org/10.1089/cpb.2006.9.342.

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23

Pennisi, E. "Infectious Disease: Planning for the Next Flu Pandemic." Science 270, no. 5244 (1995): 1916–17. http://dx.doi.org/10.1126/science.270.5244.1916.

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24

Russo, Jennefer A., Sharon Achilles, Teresa DePineres, and Laura Gil. "Controversies in family planning: postabortal pelvic inflammatory disease." Contraception 87, no. 4 (2013): 497–503. http://dx.doi.org/10.1016/j.contraception.2012.04.005.

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25

Brown, A. P., M. M. Urie, G. Barest, et al. "Three-dimensional photon treatment planning for hodgkin's disease." International Journal of Radiation Oncology*Biology*Physics 21, no. 1 (1991): 205–15. http://dx.doi.org/10.1016/0360-3016(91)90179-8.

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26

Gentilucci, Maurizio, and Anna Negrotti. "Planning and executing an action in Parkinson's disease." Movement Disorders 14, no. 1 (1999): 69–79. http://dx.doi.org/10.1002/1531-8257(199901)14:1<69::aid-mds1013>3.0.co;2-m.

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27

Yeboah, Michael, and Nila Hollis. "Implementing Life Care Planning in Chronic Disease Management." Journal for Nurse Practitioners 20, no. 6 (2024): 104947. http://dx.doi.org/10.1016/j.nurpra.2024.104947.

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28

Callahan, ACSW, LCSW, Mary Beth. "Improving Advance Care Planning in Chronic Kidney Disease." Journal of Nephrology Social Work 43, no. 2 (2019): 9–22. http://dx.doi.org/10.61658/jnsw.v43i2.20.

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As the age of dialysis patients increases, it is important to increase attention to advance-care planning (ACP) in the nephrology community. There are numerous ways to accomplish ACP, but it is important to note that having an advance directive (medical power of attorney or living will) does not mean that the clinician has a clear understanding of a patient's perceptions. The goal of this study was to evaluate nephrologists’ views of ACP goals-of-care and end-of-life (EOL) discussions and improve ACP in chronic kidney disease (CKD). A needs assessment was created to identify and review barrier

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29

Viggers, KL, DB Lindenmayer, and DM Spratt. "The Importance of Disease in Reintroduction Programmes." Wildlife Research 20, no. 5 (1993): 687. http://dx.doi.org/10.1071/wr9930687.

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Disease may play an important role in the decline or extinction of small, isolated animal populations. Disease also has thwarted attempts to reintroduce some endangered captive-bred species. Despite this, the impacts of disease rarely have been considered in the planning and design of reintroduction programmes. A remnant wild population could be decimated by a disease cointroduced with reintroduced animals. Alternatively, diseases that are endemic in wild animal populations could be fatal for those immunologically naive individuals that are reintroduced. We contend that the planning of reintro

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30

Gawron, Lori M., Adina R. Goldberger, Andrew J. Gawron, Cassing Hammond, and Laurie Keefer. "Disease-related pregnancy concerns and reproductive planning in women with inflammatory bowel diseases." Journal of Family Planning and Reproductive Health Care 41, no. 4 (2015): 272–77. http://dx.doi.org/10.1136/jfprhc-2014-101000.

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31

Corbet, E., and R. Smales. "Oral diagnosis and treatment planning: part 6. Preventive and treatment planning for periodontal disease." British Dental Journal 213, no. 6 (2012): 277–84. http://dx.doi.org/10.1038/sj.bdj.2012.837.

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32

Brown, Gregory, Sol De Jesus, Emily Leboffe, Andy Esch, and Kristina Newport. "Advance Care Planning Billing Codes Associated With Decreased Healthcare Utilization in Neurological Disease." Journal of Healthcare Management 70, no. 1 (2024): 58–73. https://doi.org/10.1097/jhm-d-23-00234.

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Goals: Advance care planning (ACP) procedure codes have been established to reimburse meaningful care goal discussions; however, the utilization frequency of these codes in neurological disease is unknown. The objective of this study is to identify the association between ACP codes and healthcare utilization in chronic neurodegenerative diseases. Methods: This is a multicenter cohort study using real-world electronic health data. Using the TriNetX database, we collected electronic health data from 92 institutions in the United States. We included patients aged 65 and older who had been diagnos

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33

Nardin, Luis G., Craig R. Miller, Benjamin J. Ridenhour, Stephen M. Krone, Paul Joyce, and Bert O. Baumgaertner. "Planning horizon affects prophylactic decision-making and epidemic dynamics." PeerJ 4 (November 8, 2016): e2678. http://dx.doi.org/10.7717/peerj.2678.

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The spread of infectious diseases can be impacted by human behavior, and behavioral decisions often depend implicitly on a planning horizon—the time in the future over which options are weighed. We investigate the effects of planning horizons on epidemic dynamics. We developed an epidemiological agent-based model (along with an ODE analog) to explore the decision-making of self-interested individuals on adopting prophylactic behavior. The decision-making process incorporates prophylaxis efficacy and disease prevalence with the individuals’ payoffs and planning horizon. Our results show that fo

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34

Hall, Geri Richards, and Kathleen C. Buckwalter. "Whole Disease Care Planning: Fitting the Program to the Client with Alzheimer's Disease." Journal of Gerontological Nursing 17, no. 3 (1991): 38–41. http://dx.doi.org/10.3928/0098-9134-19910301-15.

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35

Sameer, Kumar Kaul, and Mishra Nitin. "Plant Disease Detection using Machine Learning Algorithm." International Journal of Scientific Research and Engineering Development 3, no. 7 (2021): 296–301. https://doi.org/10.5281/zenodo.5294686.

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In various applications of the agricultural industry, computer methodologies have been used for automation. Timely farming decisions and disease management are taken using image analysis and machinery of learning techniques in planning and creating a method for the diagnosis of diseases. As human beings are still tracking crop disease, human visual vision is used for diagnosing plant disease. Machine learning and image processing methods are also ideally suited to this end. In this study, the processing of diseased pictures of plant leaf is taken into account. The work focuses on the identific

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36

Parmendra, Kumar, and Arakh Rajendra. "Plant Disease Detection using Machine Learning Algorithm." International Journal of Scientific Research and Engineering Development 05, no. 01 (2022): 796–301. https://doi.org/10.5281/zenodo.6386846.

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In various applications of the agricultural industry, computer methodologies have been used for automation. Timely farming decisions and disease management are taken using image analysis and machinery of learning techniques in planning and creating a method for the diagnosis of diseases. As human beings are still tracking crop disease, human visual vision is used for diagnosing plant disease. Machine learning and image processing methods are also ideally suited to this end. In this study, the processing of diseased pictures of plant leaf is taken into account. The work focuses on the identific

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37

Golovach, I. Yu, and Ye D. Yehudina. "Perygravid management of rheumatic disease." HEALTH OF WOMAN, no. 2(148) (March 30, 2020): 42–51. http://dx.doi.org/10.15574/hw.2020.148.42.

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Management of inflammatory rheumatic diseases in preconception period, pregnancy and breastfeeding has undergone significant changes over the past few years. Modern therapy, including biological and targeted synthetic disease modifying drugs, has significantly improved the control of rheumatic diseases, which has led to an increase in the patients’ number planning a pregnancy with serious diseases. When consulting such patients, it is necessary to discuss the possible time of conception (regarding the activity of the disease), the effect of the disease on pregnancy and pregnancy on the disease

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38

Çoban, Sacit, Latif Kahraman, Dinçer Özgör, and Cengiz Ara. "Retroperitoneal Hydatid Disease." European Journal of Therapeutics 15, no. 1 (2009): 60–62. http://dx.doi.org/10.58600/eurjther.2009-15-1-1273-arch.

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Localization of hydatid disease in the retroperitoneal space is extremely rare. We reported a recent case with primary retroperitoneal hydatid cyst, the diagnosis of which was established before surgery. In diagnosis of a cystic retroperitoneal mass, fine needle aspiration biopsy would be useful for planning the definitive surgical strategy.

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39

Waleed, Muhammad, Tai-Won Um, Tariq Kamal, Aftab Khan, and Zaka Ullah Zahid. "SIM-D: An Agent-Based Simulator for Modeling Contagion in Population." Applied Sciences 10, no. 21 (2020): 7745. http://dx.doi.org/10.3390/app10217745.

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The spread of infectious diseases such as COVID-19, flu influenza, malaria, dengue, mumps, and rubella in a population is a big threat to public health. The infectious diseases spread from one person to another person through close contact. Without proper planning, an infectious disease can become an epidemic and can result in large human and financial losses. To better respond to the spread of infectious disease and take measures for its control, the public health authorities need models and simulations to study the spread of such diseases. In this paper, an agent-based simulation engine is p

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40

Choi, Shinae, Minjung Kim, and Ian M. McDonough. "Do older adults with Alzheimer's disease engage in estate planning and advance care planning preparation?" Aging & Mental Health 23, no. 7 (2018): 872–79. http://dx.doi.org/10.1080/13607863.2018.1461192.

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41

Save, Apurva, Aksham Gupta, Sarthak Pruthi, Divyanjana Nikam, and Prof Dr Shilpa Paygude. "Plant Disease Detection and Fertilizer Suggestion." International Journal for Research in Applied Science and Engineering Technology 10, no. 2 (2022): 351–56. http://dx.doi.org/10.22214/ijraset.2022.40275.

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Abstract: Plant disease diagnosis is the foundation for efficient and precise plant disease prevention in today's complicated environment. Plant disease identification has become digitised and data-driven as smart farming has grown, allowing for advanced decision support, smart analysis, and planning. This work provides a deep learning-based mathematical model for detecting and recognising plant diseases, which improves accuracy, generality, and training efficiency. The prevention and control of plant disease have consistently been broadly talked about in light of the fact that plants are pres

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42

Lindley, Kathryn J., C. Noel Bairey Merz, Melinda B. Davis, Tessa Madden, Ki Park, and Natalie A. Bello. "Contraception and Reproductive Planning for Women With Cardiovascular Disease." Journal of the American College of Cardiology 77, no. 14 (2021): 1823–34. http://dx.doi.org/10.1016/j.jacc.2021.02.025.

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43

Hirsch, Gary, Jack Homer, Elizabeth Evans, and Ann Zielinski. "A System Dynamics Model for Planning Cardiovascular Disease Interventions." American Journal of Public Health 100, no. 4 (2010): 616–22. http://dx.doi.org/10.2105/ajph.2009.159434.

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44

GUL, Pinar. "Dental findings of gastroesophageal reflux disease and treatment planning." Turkish Journal of Gastroenterology 24, no. 1 (2009): 70–71. http://dx.doi.org/10.4318/tjg.2013.0457.

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45

Nevins, Myron, and David M. Kim. "Classical Versus Contemporary Treatment Planning for Aggressive Periodontal Disease." Journal of Periodontology 81, no. 5 (2010): 767–75. http://dx.doi.org/10.1902/jop.2010.090537.

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46

Owen, Adrian M., Barbara J. Sahakian, John R. Hodges, Beatrice A. Summers, Charles E. Polkey, and Trevor W. Robbins. "Dopamine-dependent frontostriatal planning deficits in early Parkinson's disease." Neuropsychology 9, no. 1 (1995): 126–40. http://dx.doi.org/10.1037/0894-4105.9.1.126.

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47

Honeycutt, Amanda A., Kristina Wile, Cassandra Dove, Jackie Hawkins, and Diane Orenstein. "Strategic Planning for Chronic Disease Prevention in Rural America." Journal of Public Health Management and Practice 21, no. 4 (2015): 392–99. http://dx.doi.org/10.1097/phh.0000000000000062.

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48

Ellis, Peter. "Advance care planning for patients with chronic kidney disease." Journal of Kidney Care 3, no. 4 (2018): 238–41. http://dx.doi.org/10.12968/jokc.2018.3.4.238.

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49

Davison, Sara N. "Advance Care Planning in Patients With Chronic Kidney Disease." Seminars in Dialysis 25, no. 6 (2012): 657–63. http://dx.doi.org/10.1111/sdi.12039.

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50

Shearer, Freya M., Robert Moss, Jodie McVernon, Joshua V. Ross, and James M. McCaw. "Infectious disease pandemic planning and response: Incorporating decision analysis." PLOS Medicine 17, no. 1 (2020): e1003018. http://dx.doi.org/10.1371/journal.pmed.1003018.

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