Presentation on theme: "New Directions in the Study of Alcohol Group – Alcohol Spills Over – Birmingham, 37 th Annual International Conference – April 2013 Family & friends in."— Presentation transcript:
New Directions in the Study of Alcohol Group – Alcohol Spills Over – Birmingham, 37 th Annual International Conference – April 2013 Family & friends in social networks: us & them the US....or Some Thoughts on Families and Social Networks based on UKATT data
Aims for my presentation To provide an overview of social network composition of people entering alcohol treatment using UKATT IPA data To use UKATT data on who are the most important people for those with alcohol problems entering treatment to provide a very cautious estimate of number of significant others affected by alcohol problems To explore the potential role of friends (drinking and non- drinking) in influencing outcomes from alcohol treatment – describe previous work and some preliminary analyses Finally I will briefly mention 3 trials I am involved in testing in some way social network interventions as a form of help for people using substances
UKATT Research Team (Principal Investigators) Alex Copello West Midlands Christine GodfreyYork Nick HeatherNewcastle Ray HodgsonSouth Wales Jim OrfordBirmingham Duncan RaistrickLeeds Ian RussellYork/Bangor Gillian ToberLeeds
Seventy five percent of the UKATT PI Network
Important People and Activities Inventory (IPA) - Clifford and Longabaugh, 1991 IPA asks the participant to nominate up to 10 people with whom the client has spent most time in the last 3 months. Then it also asks to indicate the 4 most important from those nominated. IPA then collects detailed information about each of these people e.g. frequency of contact, drinking frequency and quantity, how much the person is liked, how encouraging and supportive of not drinking and coming to treatment
Participants entering the UKATT trial were asked about the people they had spent most time with over the previous three months (aged at least 12 years old). They named these ‘important’ people and described each of them using demographic and drinking-related characteristics. Overall 4677 important people were named. All 740 participants could name at least 1 important person; the highest number named was 12. Participants could most frequently name 10 people, and the mean number named was 6.5 (standard deviation 3.6). This graph shows numbers of important people named by participants: Participants then decided which of these people were the four most important and listed them in order.
The four most important people: how were they related to focal drinkers? This graph shows how the participants were related to their four most important people. Percentages of named relationships are shown for the 1st, 2nd, 3rd and 4th most important people to the focal drinker: The majority of focal drinkers named their partner as their most important person, although family members were also a frequent choice. Very few focal drinkers named their partner as least important person of the four. Members of close family were frequently named as second or third most important, and friends were commonly named as third or fourth.
Who were the most important family members? Relationships of important people to focal drinkers could be further broken down into relationships of family members. This graph shows percentages of type of family member (from overall relationship) who were named as each important person: Parents were most frequently named as first and second most important, children as second or third most important, and siblings as third most important. Other family members were more likely to be named as the fourth than as the most important person.
Were important people male or female? The most important person named by focal drinkers was more commonly female; two-thirds of people named were female (66.58%) and a third were male (33.42%). The second, third, and fourth most important people named by focal drinkers were equally likely to be either male or female. Graph showing percentage of males and females that were named as each important person (1 st, 2 nd, 3 rd, or 4 th most important):
Participants saw their most important person frequently, with over half (58.92%) seeing them every day. Many also saw their second most important person every day (34.51%). The third most important person was most frequently seen 3-6 times a week (32.71%). Fourth most important people were often seen 1-2 times a week (34.52%) or 3-6 times a week (32.45%). It was rare for any important people not to have been seen in the past 3 months (under 1% for each person). How often were they seen by the focal drinkers?
What was their drinking status? All four important people were most often considered ‘light drinkers’. They were also more often moderate drinkers than abstainers, although abstainers made up 16.8% of four most important people. The most important people were the most frequent abstainers (20.84%), and the least frequent heavy drinkers (10.83%). This graph shows the percentages of important people (1 st, 2 nd, 3 rd and 4 th ) who fell into each drinking category:
How often did they drink alcohol? Important people often drank regularly. All important people most commonly drank alcohol ‘1-2 times a week’, although the most important people less frequently drank ‘1-2 times a week’ (24.22%) than the others. The most important people were also described as having ‘not drunk alcohol in the past 3 months’ more frequently than were the other three people. Second and third most important people were the most frequent daily drinkers (17.46; 17.21%). This graph shows percentages of important people (1 st, 2 nd, 3 rd, 4 th ) in each drinking category:
How much were they liked by the focal drinkers? How important were they to the focal drinkers?
How did they react to the focal clients’ drinking? How did they react to them not drinking?
How did they feel about the focal drinker getting alcohol treatment? Important people rarely opposed treatment. The most important person was particularly supportive (78.89% supported treatment), and even fourth most important people were predominantly supportive (53.18%). Just over 10% of all important people felt neutral towards treatment. The third and fourth most important people were more likely than the first/second not to know about treatment. This graph shows the percentages of important people (1 st, 2 nd, 3 rd and 4 th who fell into each category:
So, overall.... Participants recruited to UKATT had people in their social networks Based on participants’ reports, most had people in their networks that did not have alcohol problems Most had people in their networks that were supportive of the focal client’s treatment
Day, Copello, Chohan et al., European Addiction Research Opiate Substitution Treatment in the UK 118 participants identified a total of 820 network members Mean network size was 6.9. Of this group, 47 (6%) were sexual partners 378 (46%) immediate family members 97(12%) extended family members 189 (23%) friends 16 (2%) colleagues from work 51 (6%) treatment professionals or members of self-help groups 42 (5%) others So, two thirds of the social network was made up of family members
Social Behaviour and Network Therapy SBNT involves bringing members of the focal drinker’s social network into their treatment. The UKATT data indicated that all 740 participants had at least one person who was important to them. SBNT requires that these people be: 1. free from alcohol problems 2. in regular contact with the focal drinker Further analysis of the data suggested there were 716 focal drinkers with an important person who drank no more than moderately, and who they saw at least weekly. This means that approximately 96.7% of all focal drinkers entering UKATT may have had a potential network member.
Orford (Potential Supportive Network Members) Detailed analysis of 50 cases of UKATT 39 (78%) had at least one IP judged Definitely Suitable (14 had 1; 13 had 2; 11 had 3 and 1 had 4) 9 (18%) others with al least one IP judged Probably Suitable 2 (4%) others with one IP judged Possibly Suitable
Important People Can we have a go at estimating numbers of people affected by those entering UK treatment and who they are?
The most important people likely to be affected For 740 clients entering treatment for alcohol problems: Of the four most important people nominated: Included those people who had daily contact with the focal drinker Excluded those people who were ‘heavy drinkers’ themselves or the drinking status was ‘unknown’ 1 st Imp.Person (45 exc.) 2 nd Imp.Person (40 exc.) 3 rd Imp.Person (21 exc.) 4 th Imp.Person – 84 (21 exc.) Total 826 (127 exc.)
The 4 most important people who have daily contact with the focal drinker
This suggests that a very cautious estimate of people significantly affected For every person walking through the door of an alcohol treatment agency on average slightly more than one other person can be significantly affected For 740 focal drinkers 826 significant others are affected Of the 826: 686 (83.05%) are family members and 140 (16.9%) friends
Categories of family members who were not heavy drinkers and had daily contact with the focal drinker (N = 686)
Those with whom the focal client had daily contact and were heavy drinkers
Adult Family Members Affected. Illegal Drugs - UKDPC work. What is the extent of the problem? Drug treatment population General population 50,373 partners 55,012 parents 35,208 ‘other’ 573,671 partners 610,970 parents 259,133 ‘other’ Total = 140,593Total =1,443,774 Key findings from UK DPC study about adult family members of drug misusers. What about alcohol misuse? Up to 1 million children are affected by parental drug misuse & up to 3.5 million by parental alcohol misuse (Manning et al., 2009). It is estimated that the impact of drug misuse on the family costs the UK £1.8 billion but also brings a resource saving to the NHS of £747 million through the care provided.
Estimates of adult family members affected in alcohol treatment population UKDPC drugs estimate – using treatment figures ,373 partners (35.8%) 55,012 parents (39.1%) 35,208 ‘other’ (22.04) _____________________________________________ Total = 140,593 UKATT alcohol estimate – using treatment figures – ,200 partners(43.8%) 20,818 parents(19.7%) 22,249 sons-daughters over 12(19.2%) 16,256 ‘other’(15.4%) ______________________________________________ Total = 105,523
Overall proportion of family-focused practice – increases after targeted program of work within an organisation (from Claire Hampson’s work) * *^ * Significantly greater than baseline. ^Significantly greater than training period.
...and finally, the issue of social support....
Boca Juniors stadium - Argentina
The addition of just one alcohol abstinent person to the social network may increase the likelihood of abstinence by 27% (Litt et al., 2007).
‘ Getting by (or getting high) with a little help from my friends’....( Mohr et al., 2001; Journal of Studies on Alcohol) To evaluate friendships: Boyfriends, girlfriends, spouses and family members were excluded. Friends were then categorised according to drinking status (moderate or heavy as ‘drinking friends’ – other categories as ‘non-drinking friends’) Proportion of drinking and non-drinking friends in the network – number of friends divided by total network members This was done for the total number of friends and for the friends amongst the four most important people Finally, variables for ratings of liking and importance of drinking and non-drinking friends were created
Drinking FriendsNon-drinking Friends Baseline9-monthBaseline9-month Of all people in the network % of friends in the total network Years known friends Amount of contact Drinking Friends Non-drinking Friends Baseline12-monthBaseline12-month Of all people in the network % of friends in the total network Years known friends Amount of contact MATCH UKATT Amount of contact: 0 = not at all, 1 = once in past 6 months, 2 = less than monthly, 3 = once a month, 4 = every week, 5 = 1-2 times/week, 7 = daily;
Drinking FriendsNon-drinking Friends Of the 4 most important people % of friends in 4 most important people (23.53)14.81 (23.21)19.85 (23.51)21.47 (27.05) Liking of friends5.42 (1.10)5.77 (1.05)5.74 (1.01)5.85 (1.05) Importance of friends 4.00 (1.10)4.54 (1.14)4.41 (1.08)4.70 (1.12) Drinking Friends Non-drinking Friends Baseline12-monthBaseline12-month Of the 4 most important people % of friends in 4 most important people Liking of friends Importance of friends MATCH UKATT Liking: 1 = totally dislike, to 7 = totally like. Importance: 1 = not at all, to 6 = extremely.
Mohr et al, 2001 –Summary of findings Those participants who continued to have a higher proportion of drinking friends and higher proportion of important drinking friends at follow-up drank more drinks per drinking day (DDD) than those who reduced the proportion of drinking friends. Those participants with a higher proportion of non- drinking friends at follow-up showed a reduced number of drinks per drinking day and that a higher rated importance of non-drinking friends from baseline to follow-up was associated with increased proportion of days abstinent at follow-up.
Are friends important for drinking outcomes? With Dr Ed Day and Dr Clare Mackie (IoP) As a first step we have done a replication of the Mohr et el. analyses. Using the whole sample (N = 735) we examined whether 12 month friendships can mediate the relationship between baseline friendships and follow-up drinking by testing 4 models. MPLUS was used to test the models and to deal with missing data with a method that involves estimating the model with maximum likelihood (assuming that the data is missing at random) which uses all the available data in the model to provide the covariance/regression estimates, without imputing the data
So far.... Model 1: Proportion of drinking friends as a mediator with DDD and then PDA as outcome variables Model 2: Proportion of non drinking friends as a mediator with DDD and then PDA as outcome variables Model 3: Proportion of important drinking friends as a mediator with DDD and then PDA as outcome variables Model 4: Proportion of important non-drinking friends as a mediator with DDD and then PDA as outcome variables Control variables * Baseline drinking variables: DDD and PDA * Treatment condition (MET or SBNT) * Demographics: age, gender, marital status, education, ethnicity
Proportion of drinking friends - Baseline Proportion of drinking friends – follow-up Percentage Days Abstinence - PDA
What we found so far.... Of the 4 models tested the only significant mediation models involved proportion of drinking friends and proportion of important drinking friends on PDA at 12 months
Current Research Studies with family and social network components in Birmingham and beyond.... NIHR - HTA 11/60/01 Adaptation and feasibility study of a family and social network intervention for young people misusing alcohol and drugs. £528, months from 06/13. NIHR - A pilot study of a social network intervention for heroin users in opiate substitution treatment. NHS Research for Patient Benefit. £250, years from 01/12. NIHR - A study to assess the Feasibility and impact of a motivational intervention on problem drug and alcohol use in adult mental health in-patient units. NHS Research for Patient Benefit. £234, years from 06/12.
Thank you for listening… ‘Despite the recognition of carers’ needs and the growth of carer organisations, however, there is a rather limited evidence base assessing the impact on carers and families of people who misuse drugs and on interventions intended to support them, and even less attention given to the needs of families and carers in their own right.’ Nice 2008.