Search

Your search keyword '"Woolmore J"' showing total 16 results
Start Over Author "Woolmore J"
16 results on '"Woolmore J"'

3. Health-related quality of life in multiple sclerosis: Effects of natalizumab

Author

Rudick, R. A., Miller, D., Hass, S., Hutchinson, M, Calabresi, P. A., Confavreux, C., Galetta, S. L., Giovannoni, G., Havrdova, E., Kappos, L., Lublin, F. D., Miller, D. H., O'Connor, P. W., Phillips, J. T., Polman, C. H., Radue, Ew, Stuart, W. H., Wajgt, A., Weinstock Guttman, B., Wynn, D. R., Lynn, F., Panzara, M. A., Affirm, Macdonell, SENTINEL Investigators including: R., Hughes, A., Taylor, I., Lee, Y. C., Ma, H., King, J., Kilpatrick, T., Butzkueven, H., Marriott, M., Pollard, J., Spring, P., Spies, J., Barnett, M., Dehaene, I., Vanopdenbosch, L., D’Hooghe, M., Van Zandijcke, M., Derijck, O., Seeldrayers, P., Jacquy, J., Piette, T., De Cock, C., Medaer, R., Soors, P., Vanroose, E., Vanderhoven, L., Nagels, G., Dubois, B., Deville, M. C., D’Haene, R., Jacques, F., Hallé, D., Gagnon, S., Likavcan, E., Murray, T. J., Bhan, V., Mackelvey, R., Maxner, C. E., Christie, S., Giaccone, R., Guzman, D. A., Melanson, M., Esfahani, F., Gomori, A. J., Nagaria, M. H., Grand’Maison, F., Berger, L., Nasreddine, Z., Duplessis, M., Brunet, D., Jackson, A., Pari, G., O’Connor, P., Gray, T., Hohol, M., Marchetti, P., Lee, L., Murray, B., Sahlas, J., Perry, J., Devonshire, V., Hooge, J., Hashimoto, S., Oger, J., Smyth, P., Rice, G., Kremenchutzky, M., Stourac, P., Kadanka, Z., Benesova, Y., Niedermayerova, I., Meluzinova, E., Marusic, P., M, Bojar, Zarubova, K., Houzvicková, E., Piková, J., Talab, R., Faculty, Hospital Olomouc, Olomouc, B. Muchova, Urbánek, K, Kettnerova, Z., Mares, J., Otruba, P., Zapletalová, O., Hradilek, P., Ddolezil, D. Dolezil, Woznicova, I., Höfer, R., Ambler J. Fiedler, Z. Ambler J. Fiedler, Sucha, J., Matousek, V., Rektor, I., Dufek, M., Mikulik, R., Mastik, J., Tyrlikova, I., General, Teaching Hospital, Prague, E. Havrdová, Horakova, D., Kalistová, H., Týblová, M., Ehler, E., Novotná, A., Geier, P., Soelberg Sorensen, P., Ravnborg, M., Petersen, B., Blinkenberg, M., Färkkilä, M., Harno, H., Kallela, M., Häppölä, O., Elovaara, I., Kuusisto, H., Ukkonen, M., Peltola, J., Palmio, J., Pelletier, J., Feuillet, L., Suchet, L., Dalecky, A., Tammam, D., Edan, G., Le Page, E., Mérienne, M., Yaouanq, J., Clanet, M., Mekies, C., Azais Vuillemin, C., Senard, A., Lau, G., Steinmetz, G., Warter V. Wolff, J. Warter V. Wolff, Fleury, M., Tranchant, C., Stark, E., Buckpesch Heberer, U., Henn, K. H., Skoberne, T., Schimrigk, S., Hellwig, K., Brune, N., Weiller, C., Gbadamosi, J., Röther, J., Heesen, C., Buhmann, C., Karageorgiou, C., Korakaki, D., Giannoulis, D. r., Tsiara, S., Thomaides, T., Thomopoulos, I., Papageorgiou, H., Armakola, F., Komoly, S., Rózsa, C., Matolcsi, J., Szabó, G. y., Molnár, B., Lovas, G., Dioszeghy, P., Szulics, P., Magyar, Z., Incze, J., Farkas, J., Clemens, B., Kánya, J., Valicskó, Z. s., Bense, E., Nagy, Z. s., Geréby, G., Perényi, J., Simon, Z. s., Szapper, M., Gedeon, L., Csanyi, A., Rum, G., Lipóth, S., Szegedi, A., Jávor, L., Nagy, I., Adám, I., Szirmai, I., Simó, M., Ertsey, C., I, Amrein, Kamondi, A., Harcos, P., Dobos, E., Szabó, B., Balas, V., Guseo, A., Fodor, E., Jófejü, E., Eizler, K., Csiba, L., Csépány, T., Pallagi, E., Bereczki, D., Jakab, G., Juhász, M., Bszabó, B. Szabó I. Mayer, Katona, G., Hutchinson, M., O’Dwyer, J., O’Rourke, K., Sanders, E. A. C. M., Rijk van Andel, J. F., Bomhof, M. A. M., van Erven, P., Hintzen I. Hoppenbrouwers, R. Q. Hintzen I. Hoppenbrouwers, Neuteboom, R. F., Zemel, D., van Doorn, P. A., Jacobs, B. C., Munster, E. T. h. L. Van, ter Bruggen, J. P., Bernsen, R., Jongen, P. J. H., de Smet, E. A. A., Tacken, H. F. H., Polman, C., Zwemmer, J., Nielsen, J., Kalkers, N., Kragt, J., Jasperse, B., Willoughby, E., Anderson, N. E., Barber, A., Anderson, T., Parkin, P. J., Fink, J., Avery, S., Mason, D., Kwiecinski, H., Zakrzewska Pniewska, B., Kaminska, A., Podlecka, A., Nojszewska, M., Czlonkowska, A., Zaborski, J., Wicha, W., Kruszewska Ozimowska, J., Darda Ledzion, L., Selmaj, K., Mochecka Thoelke, A., Pentela Nowicka, J., Walczak, A., Stasiolek, M., Stelmasiak, Z., Bartosik Psujek, H., Mitosek Szewczyk, K., Belniak, E., Chyrchel, U., Maciejowski, M., Strzyzewska Lubos, L., Lubos, L., Matusik, E., Maciejek, Z., Niezgodzinska Maciejek, A., Sobczynska, D., Slotala, T., Wawrzyniak, S., Kochanowicz K. Kuczynski, J. Kochanowicz K. Kuczynski, Zimnoch, R., Pryszmont, M., Drozdowski, W., Baniukiewicz, E., Kulakowska, A., Borowik, H., Lewonowska, M., Szczudlik, A., Róg, T., Gryz Kurek, E., Pankiewicz, J., Furgal, J., Kimkowicz, A., Fryze, W., Wierbicki, T., Michalak, L., Kowalewska, J., Swiatkiewicz, J., Hillert, J., Åkesson, E, Fredrikson, S., Diener, P, Olsson, T., Wallström, E., Fpiehl, F. Piehl L. Hopia, Brundin, L., Marta, M., Andersson, M., Lycke, J., Runmarker, B., Malmeström, C., Vaghfeldt, P., Skoog, B., Schluep, M., Bogousslavskyr, J., Du Pasquier, R., Achtnichts, L., Kuhle, J., Buitrago Telez, C., Schläger, R., Naegelin, Y., Eraksoy, M., Bebek, N., Akman Demir, G., Topcuoglu, B., Kurtuncu, M., Istanbul, University, Istanbul:, A. Siva, Saip, S., Altintas, A., Kiyat, A., Sharief, M., Kasti, M., Lim, E. T., Rashid, W., Silber, E., Saldanha, G., Hawkins, C., Mamutse, G., Woolmore, J., Hawkes, C., Findley, L., Dasilva, R., Gunasekara, H., Palace, J., Cader, Z., Littleton, E., Burke, G., Sharrack O. Suliman, B. Sharrack O. Suliman, Klaffke, S., Swash, M., Dhillon, H., Bates, D., Westwood, M., Nichol, P., Barnes, D., Wren, D., Stoy, N., Robertson, N., Pickersgill, T., Pearson, O., Lawthom, C., Young, C., Mills, R., Lecky, B., Ford, C., Katzman, J., Rosenberg, G., Cooper, J., Wrubel, B., Richardson, B., Lynch, S., Ridings, L., Mcvey, A., Nowack, W., Rae Grant, A., Mackin, G. A., Castaldo, J. E., Spikol, L. J., Carter, J., Wingerchuk, D., Caselli, R., Dodick, D., Scarberry, S., Bailly, R., Garnaas, K., Haake, B., Rossman, H., Belkin, M., Boudouris, W. D., Pierce, R. P., Mass, M., Yadav, V., Bourdette, D., Whitham, R. H., Heitzman, D., Martin, A., Greenfield, C. F., Agius, M., Richman, D. P., Vijayan, N., Wheelock, V. L., Reder, A., Arnason, B., Noronha, A., Balabanov, R., Ray, A., Sheremata, W., Delgado, S., Shebert, B., Maldonado, J., Bowen, J., Garden, G. A., Distad, B. J., Carrithers, M., Rizzo, M., Vollmer, T., Reiningerova, J., Guarnaccia, J., Lo, A., Richardson, G. B., Fazekas, F., Enzinger, C., Seifert, T., Storch, M., Strasser Fuchs, S., Berger, T., Dilitz, E., Egg, R., Deisenhammer, F., Decoo, : D, Lampaert, J., Bartholome, E., Bier, J., Stenager, : E., Rasmussen, M., Binzer, M., Shorsh, K., Christensen, M., Soelberg Sørensen, P., Hansen, H. J., Bech, E., Petersen, T., Kirkegaard, M., Eralinna, : J., Ruutiainen, J., Soilu Hänninen, M., Säkö, E., Laaksonen, M., Reunanen, M., Remes, A., Keskinarkaus, I., Moreau, : T., Noblet, M., Rouaud, O., Couvreur, G., Lepage, E., Drapier, S., De Burghgraeve, V., Merienne, M., Cahagne, V., Gout, O., Deschamps, R., Le Canuet, P., Moulignier, A., Vermersch, P., De Seze, J., Stojkovic, T., Griffié, G., Engles, Ferriby, D., Debouverie, M., Pittion Vouyouvitch, S., Lacour, J. C., Lubetzki, C., Youssov, K., Mrejen, S., Charles, P., Yaici, S., Clavelou, P., Aufauvre, D., Renouil Guy, N., Cesaro, P., Degos, F., Benisty, S., Rumbach, L., Decavel, P., Blanc, S., Aubertin, P., Riche, G., Brochet, B., Ouallet, J. C., Anne, O., Menck, : S., Grupe, A., Gutmann, E., Lensch, E., Fucik, E., Heitmann, S., Hartung, H. P., Schröter, M., Kurz, F. M. W., Heidenreich, F., Trebst, C., Pul, R., Hohlfeld, R., Krumbholz, M., Pellkofer, H., Haas, J., Segert, A., Meyer, R., Anagnostou, P., Kabus, C., Poehlau, D., Schneider, K., Hoffmann, V., Zettl, U., Steinhagen, V., Adler, S., Steinbrecher E. Rothenfusser Körber, A. Steinbrecher E. Rothenfusser Körber, Zellner, R., Baum, K., Günther, A., Bläsing, H., Stoll, G., Gold, R., Bayas, A., Kleinschnitz, C., Limmroth, V., Katsarava, Z., Kastrup, O., Haller, P., Stoeve, S., Höbel, D., Oschmann, P., Voigt, K., Burger, C. V., Abramsky, : O., Karusiss, D., Achiron, A., Kishner, I., Stern, Y., Sarove Pinhas, I., Dolev, M., Magalashvili, D., Pozzili, : C., Lenzi, D., Scontrini, A., Millefiorini, E., Buttinelli, C., Gallo, P., Ranzato, F., Tiberio, M., Perini, P., Laroni, Alice, Marrosu, M., Cocco P. Marchi, E. Cocco P. Marchi, Spinicci, G., Massole, S., Mascia, M., Floris, G., Trojano, M., Bellacosa, A., Paolicelli, D., Bosco Zimatore, G., Simone, I. L., Giorelli, M., Di Monte, E., Mancardi, GIOVANNI LUIGI, Pizzorno, M., Murialdo, A., Narciso, E., Capello, A., Comi, G., Martinelli, V., Rodegher, M., Esposito, F., Colombo, B., Rossi, P., Polman, : C. H., Jasperse, M. M. S., Zwemmer, J. N. P., Kragt, J. J., De Smet, E., Tacken, H., Frequin, S. T. F. M., Siegers, H. P., Mauser, H. W., Fernandez Fernandez, : O., León, A., Romero, F., Alonso, A., Tamayo, J., Montalban, X., Nos, C., Pelayo, R., Tellez, N., Rio, J., Tintore, M., Arbizu, T., Romero, L., Moral, E., Martinez, S., Kappos, : L., Wilmes, S., Karabudak, : R., Kurne, A., Erdem, S., Siva, A., Atamer, A., Bilgili, F., Topcular, B., Giovannoni, : G., Lava, : N., Murnane, M., Dentinger, M., Zimmerman, E., Reiss, M., Gupta, V., Scott, T., Brillman, J., Kunschner, L., Wright, D., Perel, A., Babu, A., Rivera, V., Killian, J., Hutton, G., Lai, E., Picone, M., Cadivid, D., Kamin, S., Shanawani, M., Gauthier, S., Morgan, A., Buckle, G., Margolin, D., Kwen, P. L., Garg, N., Munschauer, F., Khatri, B., Rassouli, M., Saxena, V., Ahmed, A., Turner, A., Fox, E., Couch, C., Tyler, R., Horvit, A., Fodor, P., Humphries, S., Wynn, D., Nagar, C., O’Brien, D., Allen, N., Turel, A., Friedenberg, S., Carlson, J., Hosey, J., Crayton, H., Richert, J., Tornatore, C., Sirdofsky, M., Greenstein, J., Shpigel, Y., Mandel, S., Adbelhak, T., Schmerler, M., Zadikoff, C., Rorick, M., Reed, R., Elias, S., Feit, H., Angus, E., Sripathi, N., Herbert, J., Kiprovski, K., Qu, X., Del Bene, M., Mattson, D., Hingtgen, C., Fleck, J., Horak, H., Javerbaum, J., Elmore, R., Garcia, E., Tasch, E., Gruener, G., Celesia, G., Chawla, J., Miller, A., Drexler, E., Keilson, M., Wolintz, R., Drasby, E., Muscat, P., Belden, J., Sullivan, R., Cohen, J., Stone, L., Marrie, R. A., Fox, R., Hughes, B., Babikian, P., Jacoby, M., Doro, J., Puricelli, M., Boudoris, W., Pierce, R., Eggenberger, E., Birbeck, G., Martin, J., Kaufman, D., Stuart, W., English, J. B., Stuart, D. S., Gilbert, R. W., Kaufman, M., Putman, S., Diedrich, A., Follmer, R., Pelletier, D., Waubant, E., Cree, B., Genain, C., Goodin, D., Patwa, H., Rizo, M., Kitaj, M., Blevins, J., Smith, T., Mcgee, F., Honeycutt, W., Brown, M., Isa, A., Nieves Quinones, D., Krupp, L., Smiroldo, J., Zarif, M., Perkins, C., Sumner, A., Fisher, A., Gutierrez, A., Jacoby, R., Svoboda, S., Dorn, D., Groeschel, A., Steingo, B., Kishner, R., Cohen, B., Melen, O., Simuni, T., Zee, P., Cohan, S., Yerby, M., Hendin, B., Levine, T., Tamm, H., Travis, L. H., Freedman, S. M., Tim, R., Ferrell, W., Stefoski, D., Stevens, S., Katsamakis, G., Topel, J., Ko, M., Gelber, D., Fortin, C., Green, B., Logan, W., Carpenter, D., Temple, L., Sadiq, S., Sylvester, A., Sim, G., Mihai, C., Vertino, M., Jubelt, B., Mejico, L., Riskind, P., Cabo, A., Paskavitz, J., Moonis, M., Bashir J. Brockington, K. Bashir J. Brockington, Nicholas, A., Slaughter, R., Archer S. Harik, R. Archer S. Harik, Haddad, N., Pippenger, M. A., Van den Noort, S., Thai, G., Olek, M., Demetriou, M., Shin, R., Calabresi, P., Rus, H., Bever, C., Johnson, K., Sherbert, R., Herndon, R., Uschmann, H., Chandler, A., Markowitz, C., Jacobs, D., Balcer, L., Mitchell, G., Chakravorty, S., Heyman, R., Stauber, Z., Goodman, A., Segal, B., Schwid, S., Samkoff, L., Levin, M., Jacewicz, M., Menkes, D., Pulsinelli, W., Frohman, E., Racke, M., Hawker, K., Ulrich, R., Panitch, H., Hamill, R., Tandon, R., Dulaney, E., Simnad, V., Miller, J., Wooten, G. F., Harrison, M., Doherty, M., Wundes, A., Distad, J., Kachuck, N., Berkovich, R., Burnett, M., Sahai, S., Bandari, D., Weiner, L., Storey, J. R., Beesley, B., Hart, D., Moses, H., Sriram, S., Fang, J., O’Duffy, A., Kita, M., Taylor, L., Elliott, M., Roberts, J., Jeffery, D., Maxwell, S., Lefkowitz, D., Kumar, S., Sinclair, M., Radue, E. W., de Vera, A., Bacelar, O., and Kuster, P.

Subjects
Adult, Male, medicine.medical_specialty, Multiple Sclerosis, Visual analogue scale, Health Status, Population, Pain, Comorbidity, Placebo, Antibodies, law.invention, Natalizumab, Randomized controlled trial, Quality of life, Double-Blind Method, law, Internal medicine, Surveys and Questionnaires, Monoclonal, medicine, Prevalence, Humans, Longitudinal Studies, education, Humanized, education.field_of_study, Expanded Disability Status Scale, Neuroscience (all), business.industry, Antibodies, Monoclonal, Antibodies, Monoclonal, Humanized, Female, Patient Satisfaction, Treatment Outcome, United States, Quality of Life, Multiple sclerosis, medicine.disease, Neurology, Physical therapy, Neurology (clinical), business, medicine.drug
Abstract

Objective To report the relationship between disease activity and health-related quality of life (HRQoL) in relapsing multiple sclerosis, and the impact of natalizumab. Methods HRQoL data were available from 2,113 multiple sclerosis patients in natalizumab clinical studies. In the Natalizumab Safety and Efficacy in Relapsing Remitting Multiple Sclerosis (AFFIRM) study, patients received natalizumab 300mg (n = 627) or placebo (n = 315); in the Safety and Efficacy of Natalizumab in Combination with Interferon Beta-1a in Patients with Relapsing Remitting Multiple Sclerosis (SENTINEL) study, patients received interferon beta-1a (IFN-β-1a) plus natalizumab 300mg (n = 589), or IFN-β-1a plus placebo (n = 582). The Short Form-36 (SF-36) and a subject global assessment visual analog scale were administered at baseline and weeks 24, 52, and 104. Prespecified analyses included changes from baseline to week 104 in SF-36 and visual analog scale scores. Odds ratios for clinically meaningful improvement or worsening on the SF-36 Physical Component Summary (PCS) and Mental Component Summary were calculated. Results Mean baseline SF-36 scores were significantly less than the general US population and correlated with Expanded Disability Status Scale scores, sustained disability progression, relapse number, and increased volume of brain magnetic resonance imaging lesions. Natalizumab significantly improved SF-36 PCS and Mental Component Summary scores at week 104 in AFFIRM. PCS changes were significantly improved by week 24 and at all subsequent time points. Natalizumab-treated patients in both studies were more likely to experience clinically important improvement and less likely to experience clinically important deterioration on the SF-36 PCS. The visual analog scale also showed significantly improved HRQoL with natalizumab. Interpretation HRQoL was impaired in relapsing multiple sclerosis patients, correlated with severity of disease as measured by neurological ratings or magnetic resonance imaging, and improved significantly with natalizumab. Ann Neurol 2007

Published
2007

8. Polymorphisms of the cannabinoid 1 receptor gene and cognitive impairment in multiple sclerosis.

Author

Woolmore, J. A., Stone, M. J., Holley, S. L., Jenkinson, P. M., Ike, A., Jones, P. W., Fryer, A. A., Strange, R. C., Stephens, R., Langdon, D. W., and Hawkins, C. P.

Subjects
*GENETIC polymorphisms, *CANNABINOIDS, *COGNITION disorders, *MULTIPLE sclerosis, *NEUROPSYCHOLOGICAL tests, *VERBAL learning, *REGRESSION analysis, *PATIENTS
Abstract

Cognitive impairment occurs in 45-65% of multiple sclerosis (MS) patients. The cannabinoid system may potentially be neuroprotective in MS. We examined the relationship between polymorphisms of the CNR1 gene and neuropsychological outcome in MS using a test and confirmatory sample of patients. One hundred and ninety-four MS patients were assessed over five key areas of neuropsychological function, which are most commonly impaired in MS. The first 97 patients formed the test sample. A further confirmatory sample of 97 patients was used to test association found in the test sample. The schedule included: Wisconsin card sorting test 64 version, Rey auditory verbal learning task immediate and delayed scores, controlled oral word association task, judgement of line orientation and symbol digit modalities task. Three single nucleotide polymorphisms (SNPs) were typed within the CNR1 gene. For the overall neuropsychological assessment score we used a multiple linear regression model with selected covariates to show that subjects with the AA genotype of the SNP RS1049353 were more impaired (mean -2.47, SD 5.75, P = 0.008, Bonferroni corrected P = 0.024) than the other subjects (mean 0.24, SD 4.24). This was not confirmed when the association was retested in the confirmatory sample. No associations were identified between these CNR1 variants and cognitive impairment in MS. [ABSTRACT FROM AUTHOR]

Published
2008
Full Text
View/download PDF

9. Prevalence, treatment and correlates of depression in multiple sclerosis.

Author

Young CA, Langdon D, Rog D, Chhetri SK, Tanasescu R, Kalra S, Webster G, Nicholas R, Ford HL, Woolmore J, Paling D, Tennant A, and Mills R

Subjects
Humans, Female, Male, Prevalence, Middle Aged, Adult, Comorbidity, Patient Reported Outcome Measures, United Kingdom epidemiology, Multiple Sclerosis epidemiology, Multiple Sclerosis complications, Multiple Sclerosis therapy, Depression epidemiology, Depression etiology, Antidepressive Agents therapeutic use
Abstract

Background: The prevalence of depression in Multiple Sclerosis (MS) is often assessed by administering patient reported outcome measures (PROMs) examining depressive symptomatology to population cohorts; a recent review summarised 12 such studies, eight of which used the Hospital Anxiety and Depression Scale-Depression (HADS-D). In clinical practice, depression is diagnosed by an individual structured clinical interview; diagnosis often leads to treatment options including antidepressant medication. It follows that an MS population will include those whose current depressive symptoms meet threshold for depression diagnosis, plus those who previously met diagnostic criteria for depression and have been treated such that depressive symptoms have improved below that threshold. We examined a large MS population to establish a multi-attribute estimate of depression, taking into account probable depression on HADS-D, as well as anti-depressant medication use and co-morbidity data reporting current treatment for depression. We then studied associations with demographic and health status measures and the trajectories of depressive symptoms over time., Methods: Participants were recruited into the UK-wide Trajectories of Outcome in Neurological Conditions-MS (TONiC-MS) study, with demographic and disease data from clinical records, PROMs collected at intervals of at least 9 months, as well as co-morbidities and medication. Interval level conversions of PROM data followed Rasch analysis. Logistic regression examined associations of demographic characteristics and symptoms with depression. Finally, a group-based trajectory model was applied to those with depression., Results: Baseline data in 5633 participants showed the prevalence of depression to be 25.3 % (CI: 24.2-26.5). There were significant differences in prevalence by MS subtype: relapsing 23.2 % (CI: 21.8- 24.5), primary progressive 25.8 % (CI: 22.5-29.3), secondary progressive 31.5 % (CI: 29.0-34.0); disability: EDSS 0-4 19.2 % (CI: 17.8-20.6), EDSS ≥4.5 31.9 % (CI: 30.2-33.6); and age: 42-57 years 27.7 % (CI: 26.0-29.3), above or below this range 23.1 % (CI: 21.6-24.7). Fatigue, disability, self-efficacy and self esteem correlated with depression with a large effect size (>0.8) whereas sleep, spasticity pain, vision and bladder had an effect size >0.5. The logistic regression model (N = 4938) correctly classified 80 % with 93 % specificity: risk of depression was increased with disability, fatigue, anxiety, more comorbidities or current smoking. Higher self-efficacy or self esteem and marriage reduced depression. Trajectory analysis of depressive symptoms over 40 months in those with depression (N = 1096) showed three groups: 19.1 % with low symptoms, 49.2 % with greater symptoms between the threshold of possible and probable depression, and 31.7 % with high depressive symptoms. 29.9 % (CI: 27.6-32.3) of depressed subjects were untreated, conversely of those treated, 26.1 % still had a symptom level consistent with a probable case (CI: 23.5-28.9)., Conclusion: A multi-attribute estimate of depression in MS is essential because using only screening questionnaires, diagnoses or antidepressant medication all under-estimate the true prevalence. Depression affects 25.3 % of those with MS, almost half of those with depression were either untreated or still had symptoms indicating probable depression despite treatment. Services for depression in MS must be pro-active and flexible, recognising the heterogeneity of outcomes and reaching out to those with ongoing symptoms., Competing Interests: Declaration of competing interest The authors report there are no competing interests to declare., (Copyright © 2024. Published by Elsevier B.V.)

Published
2024
Full Text
View/download PDF

10. Measuring coping in multiple sclerosis: The Coping Index-MS.

Author

Young CA, Mills RJ, Langdon D, Rog DJ, Sharrack B, Kalra S, Majeed T, Footit D, Harrower T, Nicholas RS, Ford HL, Woolmore J, Johnstone C, Thorpe J, Paling D, Ellis C, Hanneman CO, and Tennant A

Subjects
Humans, Adaptation, Psychological, Benchmarking, Drugs, Generic, Patient Reported Outcome Measures, Multiple Sclerosis
Abstract

Background: Coping in multiple sclerosis (MS) refers to cognitive and behavioural efforts to manage stresses imposed by the illness. Existing generic and disease-specific coping scales do not meet modern guidelines for scale development and cannot produce interval-level metrics to allow for change scores., Objective: The main aim of this study was to develop a brief patient-reported outcome measure for coping in MS, capable of interval-level measurement., Methods: Qualitative work in 43 people with MS leads to a draft scale which was administered to 5747 participants, with longitudinal collection in 2290. A calibration sample of 1000 subjects split into development and validation sets was used to generate three scales consistent with Rasch model expectations., Results: The total Coping Index-MS (CI-MS-T), CI-MS-Internal (CI-MS-I) and CI-MS-External (CI-MS-E) cover total, internal and externally focused coping. All three scales are capable of interval-level measurement. Trajectory analysis of 9000 questionnaires showed two trajectories in CI-MS-T: Group 1 showed a low level of coping with slight decline over 40 months, while Group 2 had a better and stable level of coping due to improving CI-MS-I which compensated for the deteriorating CI-MS-E over time. CI-MS-T < 30 identified group membership at baseline., Conclusion: The CI-MS-T, CI-MS-I and CI-MS-E, comprising 20 items, provide interval-level measurement and are free-for-use in not-for-profit settings.

Published
2022
Full Text
View/download PDF

11. The four self-efficacy trajectories among people with multiple sclerosis: Clinical associations and implications.

Author

Young CA, Mills R, Langdon D, Sharrack B, Majeed T, Kalra S, Footitt D, Rog D, Harrower T, Nicholas R, Woolmore J, Thorpe J, Hanemann CO, Ford H, Paling D, Ellis C, Palace J, Constantinescu C, and Tennant A

Subjects
Female, Humans, Longitudinal Studies, Male, Middle Aged, Self Efficacy, Surveys and Questionnaires, Multiple Sclerosis complications, Multiple Sclerosis, Relapsing-Remitting complications
Abstract

Background: Longitudinal studies among people with Multiple Sclerosis (pwMS) have shown that self-efficacy is linked to physical, cognitive and psychological functioning., Objectives: To determine the distribution of self-efficacy in a large sample of pwMS, examining whether there are distinct groups which show different self-efficacy trajectories over time, and the health status characteristics of any groups identified., Methods: Participants completed serial questionnaire packs, including Unidimensional Self-efficacy-MS (USE-MS) scale, for the Trajectories of Outcome in Neurological Conditions-MS (TONiC-MS) study over an average 46-month period. The resulting longitudinal data were analysed by a group-based trajectory model., Results: 5887 pwMS were studied: mean age 50.2 years (SD 12.0); 73.6% female; Relapsing Remitting MS (61.8%), Secondary Progressive (22.9%), Primary Progressive (11.1%), Rapidly Evolving Relapsing Remitting MS (4.2%). Four distinct self-efficacy trajectories emerged, with declining, slightly declining, stable or improving self-efficacy, each showing different patterns of health status indicators such as EQ-5D-5L, disability and depression. USE-MS ≤ 18 at baseline detected all participants in the two declining groups., Conclusion: Future trials on interventions for self-efficacy should assume a priori that those with low levels of self-efficacy (USE-MS ≤ 18 at baseline) are likely to be on a declining trajectory and may need different interventions from those with stable self-efficacy., (Copyright © 2022. Published by Elsevier B.V.)

Published
2022
Full Text
View/download PDF

12. Quality of life in multiple sclerosis is dominated by fatigue, disability and self-efficacy.

Author

Young CA, Mills R, Rog D, Sharrack B, Majeed T, Constantinescu CS, Kalra S, Harrower T, Santander H, Courtald G, Ford HL, Woolmore J, and Tennant A

Subjects
Cross-Sectional Studies, Disability Evaluation, Fatigue etiology, Humans, Self Efficacy, Multiple Sclerosis complications, Multiple Sclerosis therapy, Quality of Life
Abstract

Background and Objective: Quality of life in multiple sclerosis (MS) reflects complex relationships between symptoms (fatigue, spasticity pain, and bladder or vision dysfunction), disability, health perceptions, and self-efficacy., Methods: In this cross-sectional study, a self-report questionnaire pack of patient reported outcome measures was collected from 5695 people with MS (pwMS) alongside clinical data from their neurologists. Each patient reported outcome measure was converted to interval-scaled estimates following fit to the Rasch model. The patient reported outcome measures, as well as perceived health, age, disease subtype and gender, were then subject to path analysis to analyse their relationships with quality of life (QoL), guided by the Wilson and Clearly conceptual framework., Results: The final model explains 81.2% of the variance of QoL. Fatigue is clearly dominant, suggesting a means to intervene and improve QoL. The next most influential factors were disability and self-efficacy, which have similar effect levels. The model can be replicated for pwMS on disease modifying therapy and is largely invariant for gender and disease subtype. Age had an insignificant effect., Conclusions: In order to promote better QoL, MS care should include management of fatigue, interventions to ameliorate disability, and support to enhance self-efficacy. The range of skills needed for these treatments will require input from medical, nursing, therapy and psychology staff, so these findings provide evidence substantiating the need for pwMS to be provided with care by comprehensive multidisciplinary teams., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Published
2021
Full Text
View/download PDF

13. The unidimensional self-efficacy scale for MS (USE-MS): developing a patient based and patient reported outcome.

Author

Young CA, Mills RJ, Woolmore J, Hawkins CP, and Tennant A

Subjects
Adult, Chi-Square Distribution, England, Female, Humans, Male, Middle Aged, Multiple Sclerosis psychology, Predictive Value of Tests, Psychometrics, Reproducibility of Results, Self Report, Multiple Sclerosis diagnosis, Self Efficacy, Surveys and Questionnaires
Abstract

Background: Self-efficacy concerns the individual's belief that he or she is capable of performing a certain task and producing a desired effect, i.e. it reflects the person's perceptions of their capability for specific tasks, as distinct from their actual ability. Self-efficacy has been shown to influence motivation, psychological well-being, adherence with treatment regimes and quality of life in multiple sclerosis and other conditions., Objective: To develop a unidimensional scale of MS self-efficacy with robust psychometric properties, suitable for patient self report., Methods: A questionnaire pack covering three MS self-efficacy scales, the Dispositional Resilience Scale and demographic data was posted to MS patients from two MS databases. Data underwent Rasch analysis., Results: Response rate was 309/600 (51.5%). None of the existing MS self-efficacy scales were unidimensional. A new 12-item scale, created by combining items from our two scales, was shown to fit the Rasch model, was unidimensional, and invariant for gender, education and disease duration., Conclusion: The Unidimensional Self-Efficacy scale for MS (USE-MS) provides a simple summated scale for an ordinal estimate of a persons' self efficacy. A transformation to interval scaling is available for use in the calculation of change scores and effect sizes.

Published
2012
Full Text
View/download PDF

14. Vitamin D receptor gene polymorphism is associated with reduced disability in multiple sclerosis.

Author

Mamutse G, Woolmore J, Pye E, Partridge J, Boggild M, Young C, Fryer A, Hoban PR, Rukin N, Alldersea J, Strange RC, and Hawkins CP

Subjects
Adult, Female, Genetic Predisposition to Disease epidemiology, Haplotypes, Humans, Logistic Models, Male, Multiple Sclerosis epidemiology, Multiple Sclerosis physiopathology, Risk Factors, Young Adult, Disability Evaluation, Multiple Sclerosis genetics, Polymorphism, Single Nucleotide, Receptors, Calcitriol genetics, Ultraviolet Rays
Abstract

Ultraviolet radiation (UVR) may contribute to multiple sclerosis (MS) outcome by a mechanism involving vitamin D and the vitamin D receptor (VDR). In 512 patients with MS duration of 10 or more years, we studied the association of VDR single nucleotide polymorphisms (A/G(1229), C/G(3444), G/A(3944), CC(20965), CC(30056), F/f(30875), C/T(48200), T/t(65013)) with outcome or disability. ff(30875) frequency was lower in cases with EDSS > or = 6.0 than with scores < 6.0 (odds ratio = 0.38, 95% CI = 0.20-0.70). The association of ff(30875) with outcome was not mediated by cumulative exposure to UVR as assessed by questionnaire; low exposure (odds ratio = 0.42, 95% CI = 0.14-1.34) and high exposure (odds ratio = 0.34, 95% CI = 0.16-0.73).

Published
2008
Full Text
View/download PDF

15. Mental health. In good hands.

Author

Woolmore J

Subjects
Community Mental Health Services economics, Humans, Patient Satisfaction, Residential Treatment, United Kingdom, Urban Health Services economics, Community Mental Health Services organization & administration, Mental Disorders rehabilitation, Urban Health Services organization & administration
Published
2001

16. Mental health. Picking up the pieces.

Author

Ward A and Woolmore J

Subjects
Crisis Intervention, England, Humans, Mental Disorders nursing, Respite Care, Risk Assessment, Group Homes organization & administration, Social Support, Therapeutic Community
Abstract

Research in Leeds had identified a group of mental health users whose lifestyles were often destructive and who appeared to be on an endless cycle of care between various statutory agencies. Oakwood Hall, a joint-funded, voluntary sector hostel has developed a holistic approach for 'difficult to place' individuals, enabling them to move back into mainstream support services. The objective of the service is to combine compassion with a nonjudgemental stance, encouraging social integration of clients, combined with boundaries for individual behaviour. The service offers respite care and a 24-hour telephone support system. The approach has led to a significant and positive change for many.

Published
2000

Catalog

Books, media, physical & digital resources
See catalog results