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Table 2 Structures and processes available in networks and their relationship to the patients’ improvement in Health of the Nation Outcome Scales (HoNOS) as determined via linear regression

From: Structures and processes necessary for providing effective home treatment to severely mentally ill persons: a naturalistic study

  network description regression statistics
network characteristics median minimal value maximal value R 2 beta p-value
Variables that characterise network structures
Number of patients in a network 299 84 5487 0.00 0.04 0.03
Number of patients per case manager (measured by full-time equivalent) 40 19.67 69 0.00 −0.07 <0.01
Multiprofessionality of treatment team (number of different professions within the team of case managers) 3.5 1 7 0.00 −0.02 0.26
Number of organizations having a contract for cooperating with the network 3 1 6 0.00 0.00 0.97
Average number of all contacts with patients during the last 12 months 26.87 2.83 51.6 0.00 −0.03 0.06
Variables that characterise the staff
Years of staff’s experience in mental health care 15.13 5.59 21.86 0.00 −0.04 0.03
Share of working hours spend with patient care during an average week 41 % 22 % 69 % 0.00 0.01 0.48
Average number of hours spent on home visits to patients during the last month 1.54 0.35 3.44 0.00 −0.01 0.63
Average number of training hours received by case managers during the last 12 months 46.33 5 106.5 0.00 0.00 0.89
Variables that characterise the staff’s work place satisfaction
Staff’s work place satisfaction (range 1 = very dissatisfied to 7 = very satisfied) 5.32 4.25 6.11 0.00 0.03 0.04
Staff’s satisfaction with income (range 1 = very dissatisfied to 7 = very satisfied) 3.14 2 5.71 0.00 −0.02 0.20
ERI score – effort (range 3 to 12, high ratings point to higher efforts) 8.63 6 10.5 0.00 −0.05 0.01
ERI score – reward (range 7 to 28, low ratings point to lower rewards) 18 14.75 23.67 0.00 −0.01 0.65
ERI score – overcommitment (range 6 to 24, high ratings point to higher overcommitment) 13 11.33 16 0.00 0.00 0.97
Variables that characterise staff’s processes (contact variables)
Number of face-to-face contacts per patient during the last month 1.3 1.13 1.75 0.00 0.03 0.05
Average number of hours of face-to-face contacts with patients during the last month 1.76 1.21 2.62 0.00 0.04 0.04
Average number of home visits to patients during the last month 1 0.29 1.79 0.00 0.05 <0.01
Share of patients, whose family members were contacted by the network during the last month 16 % 8 % 51 % 0.00 0.04 0.03
Variables that characterise staff’s processes (service variables)
Share of patients receiving psycho-education during the last three months 27 % 8 % 68 % 0.00 −0.02 0.21
Share of patients receiving psychotherapy during the last three months 10 % 0 % 50 % 0.00 0.00 0.78
Share of patients receiving sociotherapy during the last three months 11 % 0 % 89 % 0.00 −0.03 0.11
Share of patients to which a treatment plan was handed during the last 12 months 33 % 0 % 93 % 0.00 −0.02 0.17
Share of patients receiving a case review during the last three months 41 % 5 % 93 % 0.00 0.02 0.31
  1. The median depicts the value of the median network. Minimum and maximum values refer to the value of those networks with the lowest and highest figure. For each separate univariate linear regression the patients’ improvement as the dependent variable was explained by one of the listed network characteristic. Each row therefore describes one model
  2. Beta-coefficient represents the influence of the variable on the outcome, a negative beta-coefficient implies a higher improvement e.g.: beta = -0.07 – more patients per case manager is correlated with higher improvement in patient outcome
  3. A positive beta-coefficient implies a worsening of the outcome. Beta = 0.05 – A higher average number of home visits to patients within one month is correlated with worsening of the patients outcome